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Monday, Dec. 9 • Morning Tutorials:

T1: Interference Alignment: A Unified View of Signal Dimensions Across Wireless and Wired Communication Networks
T2: Small Cell Technologies in LTE-Advanced and Beyond
T3: Stochastic Geometry for the Analysis and Design of Wireless Networks
T4: Information-Centric Networking: Current State of the Art and Future Directions
T5: Cognitive Radio, Software-Defined Radio, and Adaptation of Wireless Mobile Radio Systems

Monday, Dec. 9 • Afternoon Tutorials:

T6: Fundamentals of Nanoscale Communications and Nano Networks
T7: LTE-Advanced Modem Design: Challenges and Perspectives
T9: Opportunistic Communication: Unified View and New Applications
T10: Topology-Aware Modeling, Analysis, and Design of Multi-Tier Cellular Networks
T11: Towards Distributed Autonomous Underwater Sensor Networks: Principles, Development, and Future
T21: Vehicular Networking: Standards, Protocols, Applications, and Deployment Plans

Friday, Dec. 13 Morning Tutorials:

T12: Implementing Network Coding
T14: Wireless Device-to-Device Communications and Networks
T15: Wireless Network Economics and Games
T16: Emerging Concepts and Technologies towards 5G Wireless Networks
T17: Cross-Layer Design for Spectrum- and Energy-Efficient Wireless Networks

Friday, Dec. 13 Afternoon Tutorials:

T8:  Monitoring and Optimization for Smarter Power Grids
T18: Energy Harvesting Wireless Communications
T19: Machine-to-Machine Technologies & Markets - Shift of Industries
T20: Online Learning in Multi-agent Environments - Applications to…



T1. Interference Alignment: A Unified View of Signal Dimensions Across Wireless and Wired Communication Networks

Interference is the primary bottleneck on the data rate capacity of most wireless and many wired networks. The recent emergence of the idea of interference alignment has shown that the throughput limits of interference networks may be orders of magnitude higher than previously imagined. In a relatively short period of three years since its emergence, the idea has gained tremendous momentum in research pursued by industry as well as the academia within the network information theory, communication theory, signal processing, and network coding communities. This tutorial introduces the audience to the idea of interference alignment, traces its origins, reviews a variety of interference alignment schemes, summarizes the diverse settings where the idea of interference alignment is applicable and highlights the common principles that cut across these diverse applications. The emphasis of the tutorial is on recent developments towards a unified view of wireless and wired networks.

Instructor: Syed Ali Jafar

Syed Ali Jafar received the B. Tech. degree in Electrical Engineering from the Indian Institute of Technology (IIT), Delhi, India in 1997, the M.S. degree in Electrical Engineering from California Institute of Technology (Caltech), Pasadena USA in 1999, and the Ph.D. degree in Electrical Engineering from Stanford University, Stanford, CA USA in 2003. His industry experience includes positions at Lucent Bell Labs , Qualcomm Inc. and Hughes Software Systems. He is currently an Associate Professor in the Department of Electrical Engineering and Computer Science at the University of California Irvine, Irvine, CA USA. His research interests include multiuser information theory and wireless communications. Dr. Jafar received the NSF CAREER Award in 2006, the ONR Young Investigator Award in 2008, the IEEE Information Theory Society Paper Award in 2009 and the UC Irvine Engineering School Fariborz Maseeh Award for Outstanding Research in 2010. Dr. Jafar received the UC Irvine EECS Professor of the Year Award four times by students’ vote for excellence in teaching in 2006, 2009, 2011 and 2012 and the Teaching Excellence Award in 2012 from the School of Engineering. He was a University of Canterbury Erskine Fellow in 2010 and is currently an IEEE Communications Society Distinguished Lecturer for 2013-2014. Dr. Jafar was the inaugural instructor for the First Canadian School of Information Theory in 2011 and a plenary speaker for various conferences and workshops including SPCOM 2010, CTW 2010 and SPAWC 2012. He served as Associate Editor for IEEE Transactions on Communications 2004-2009, for IEEE Communications Letters 2008-2009 and for IEEE Transactions on Information Theory 2009-2012.


T2. Small-Cell Technologies in LTE Advance and Beyond

In this tutorial, we discuss how small cells play a key role in next-generation wireless systems.  We fist give an update of 3GPP LTE Advanced followed by an overview of various deployment scenarios of small cells.  Then, we discuss performance issues of heterogeneous networks (HetNet) utilizing a mix of macrocells, remote radio heads (RRH) and low-power nodes such as picocells, femto-cells, and relay nodes.  We will focus on interference mitigation techniques in small cells and HetNet.  From both theoretical and practical operator's perspectives, we investigate how to optimize wireless networks with underlay small cells. Lastly, we conclude the tutorial by highlighting potential research issues in radio and access technologies of 5G wireless.

Instructors: Li-Chun Wang and Dr. Chiung-Jang Chen

Li-Chun Wang received  the B.S. degree from National Chiao Tung University, Taiwan, R. O. C. in 1986, the M.S. degree from National Taiwan University in 1988, and the Ms. Sci. and Ph. D. degrees from the Georgia Institute of Technology in 1995 and 1996, respectively, all in electrical engineering. From 1990 to 1992, he was with the Telecommunications Laboratories of the Ministry of Transportations and Communications in Taiwan. In 1995, he was affiliated with Bell Northern Research of Northern Telecom, Inc., Richardson, TX. From 1996 to 2000, he was with AT&T Laboratories, where he was a Senior Technical Staff Member in the Wireless Communications Research Department. In August 2000, he joined National Chiao Tung University in Taiwan, and is currently the Chairman of the Department of Electrical Engineering of NCTU since 2012. His current  research interests are in the areas of radio resource management and cross- layer optimization techniques for wireless systems, heterogeneous wireless network design, and cloud computing for mobile applications. He was elected to the IEEE Fellow grade in 2011 for his contributions in cellular architectures and radio resource management in wireless net- works. Dr. Wang was a co-recipient (with Gordon L. Stuber and Chin-Tau Lea) of the 1997 IEEE Jack Neubauer Best Paper Award. He has published over 180 journal and international conference papers. He served as an Associate Editor for the IEEE Trans. on Wireless Communications from 2001 to 2005, the Guest Editor of Special Issue on “Mobile Computing and Networking” for IEEE Journal on Selected Areas in Communications in 2005 and on ”Radio Resource Management and Protocol Engineering in Future IEEE Broadband Networks” for IEEE Wireless Communications Magazine in 2006. He holds nine US patents.

Dr. Chiung-Jang Chen
received his Ph.D. degree in communication engineering from National Chiao Tung University, Taiwan, in 2005. Since 1995 he was with Chunghwa Telecom Laboratories, Taiwan, and now is the project manager of LTE-A/B4G project in the wireless communications research department.  He received  the CIEE outstanding young electrical engineer award in 2006 and  IEEE Taipei section best impact award in 2010.  Dr. Chen has been actively participating in the 3GPP LTE/LTE-A standardization since 2007.  His research interests include  LTE/LTE-A  system design, cellular architectures and radio network resource management for B4G.


T3. Stochastic Geometry for the Analysis and Design of Wireless Networks

The statistics of signal-to-interference-plus-noise ratios (SINRs) are key to the performance of wireless networks. Signal strengths and, more importantly, the interference depend strongly on the network geometry, i.e., the positions of the transmitters. As a consequence, there is a critical need for models of the node locations and for mathematical techniques to evaluate the relevant performance metrics as spatial averages (averages over likely network realizations) — in the same way as the performance of a point-to-point communication system is obtained by averaging over  the fading states of the channel. Stochastic geometry is the mathematical theory that solves both problems: it provides the network models and the analytical tools for the performance evaluation. The results obtained are general (compared with results for a specific network geometry) and accurate (compared with results obtained for geometry-agnostic models) and thus permit a fair comparison of network architectures, protocols, and resource allocation algorithms.

This tutorial gives a rigorous introduction to stochastic geometry and provides an overview of important recent results obtained for cellular, ad hoc, and cognitive networks. It will enable the attendees to understand the literature and to make contributions of their own.

Instructor: Martin Haenggi

Martin Haenggi is a Professor of Electrical Engineering and a Concurrent Professor of Applied and Computational Mathematics and Statistics at the University of Notre Dame, Indiana, USA. He received the M.Sc. and Ph.D. degrees in electrical engineering from the Swiss Federal Institute of Technology in Zurich (ETH) in 1995 and 1999, respectively. He served on the Editorial Boards of the Journal of Ad Hoc Networks, the IEEE Journal on Selected Areas in Communications, the ACM Trans. on Sensor Networks, and the IEEE Trans. on Vehicular Technology. He was a Distinguished Lecturer for the IEEE Circuits and Systems Society in 2005-06 and is the Keynote Speaker of the 2013 Workshop on Spatial Stochastic Models for Wireless Networks. He has published over 100 refereed papers on the topic of the tutorial, and he is a co-author of the monograph Interference in Large Wireless Networks (NOW, 2008) and the author of the textbook Stochastic Geometry for Wireless Networks (Cambridge, 2012). His scientific interests include wireless communications and networking, with an emphasis on theoretical and experimental methods for the analysis and design of cellular, ad hoc, cognitive, and sensor networks. He received the ETH Medal for both his M.Sc. and Ph.D. theses, a CAREER award from the U.S. National Science Foundation in 2005, and the 2010 IEEE Communications Society Best Tutorial Paper award.


T4. Information Centric Networking: Current State of the Art and Future Directions

Information-centric networks (ICN's) have received a lot of attention as potential future internet architectures, in order to solve some of the problems encountered in the current Internet. These problems include mobility, security, and handling the explosion in bandwidth consumption. As computing and storage costs have dropped dramatically, it is now possible to support new networking paradigm which involve forwarding based upon names rather than IP addresses, and in network caching for the data which traverses the network.

In this tutorial, we propose a definition of ICN's and examine the new precepts of information-centric networks: content naming, routing by name, content-based security, and in-­network caching. We describe the history of content-centric proposals by reviewing a survey of content-based architectures and detail more carefully some current ICN architectures, including Van Jacobson's CCN architecture, and publish/subscribe proposals such as NetInf and PURSUIT. We also identify some research challenges to be solved by content-centric networks and some potential applications and business models for ICN's.

Instructor: Cedric Westphal

Cedric Westphal is a Principal Research Architect with Huawei Innovations working on future network architectures, both for wired and wireless networks. His current focus is on Information Centric Networks. He also has been an adjunct assistant professor with the University of California, Santa Cruz since 2009. Prior to Huawei, he was with DOCOMO Innovations from 2007­2011 in the Networking Architecture Group. His work at DOCOMO has covered several topics, all related to next generation network architectures: scalable routing, network virtualization and reliability, using social networks for traffic offloading, etc. Prior to that, he was at Nokia Research Center from 2000 to 2006. He received a MSEE in 1995 from Ecole Centrale Paris, and a MS (1995) and Ph.D. (2000) in EE from the University of California, Los Angeles. Cedric Westphal has co­authored over fifty journal and conference papers, including several best paper awards; and been awarded twenty patents. He has been an area editor for the ACM/IEEE Transactions on Networking since2009, an assistant editor for (Elsevier) Computer Networks journal, and a guest editor for Ad Hoc Networks journal. He has served as a reviewer for the NSF, GENI, the EU FP7, and other funding agencies; he has co-­chaired the program committee of several conferences, including IEEE ICC (NGN symposium). He is a senior member of the IEEE.


T5. Cognitive Radio, Software-Defined Radio, and Adaptation of Wireless Mobile Radio Systems

Today's wireless services and systems have come a long way since the rollout of the conventional voice-centric cellular systems.  The demand for wireless access in voice and multi-media applications has been increasing. As a result of the convergence of computing, content, and entertainment with communication, the radio equipment have become part of our daily lives. It came to a point where we cannot live without them anymore. We cannot interact, chat, find our direction, have fun or sometimes even think without them.  We can leave everything behind, but, cannot go anywhere without them.  The fun is actually just starting. Wait until when you see intelligence added to these radios. Equipped with the capability and flexibility of software-defined radios and combined with  machine learning, a new concept which is referred as cognitive radio has emerged in the wireless world.
Cognitive radios can sense and be aware of its radio, user, and network environments, and react to these by adapting the operation parameters in order to maximize user satisfaction. With such a capability and intelligence, these radios can do amazing things such as learning from the past experiences of its user and about themselves to better adapt to various conditions in the future. They make our homes much smarter; make our cars and driving experience more enjoyable; reduce the health concerns by allowing more controlled electromagnetic radiation; solve interoperability problems between various networks, and eventually be our best friends. Considering the importance of radios in all aspects of life, cognitive radios can even save lives in disasters. In the light of all these remarkable benefits, the social, economical, and environmental impact of cognitive radios are expected to be significant.

Instructor: Huseyin Arslan

Dr. Arslan has received his PhD. degree in 1998 from Southern Methodist University (SMU), Dallas, Tx. From January 1998 to August 2002, he was with the research group of Ericsson Inc., NC, USA, where he was involved with several project related to 2G and 3G wireless cellular communication systems.  Since August 2002, he has been with the Electrical Engineering Dept. of University of South Florida. In addition, he has worked as part time consultant for various companies and institutions including Anritsu Company and The Scientific and Technological Research Council of Turkey - TUBITAK. Dr. Arslan’s research interests are related to advanced signal processing techniques at the physical layer, with cross-layer design for networking adaptivity and Quality of Service (QoS) control. The current research interests are on UWB, multicarrier communication technologies, waveform design for 5G wireless systems, PHY security, and cognitive and software defined radio.  He has served as technical program committee chair, technical program committee member, session and symposium organizer, and workshop chair in several IEEE conferences. He is a member of the editorial board for IEEE Transactions on Communications,  Physical Communications (PHYCOM) by Elsevier, and Journal of Electrical and Computer Engineering by Hindawi Publishing Corporation. Dr. Arslan is a senior member of IEEE.


T6. Fundamentals of Nanoscale Communications and Nano Networks

Many of the envisioned nanotechnology applications, e.g., intelligent drug delivery system, intra-body multi- modal health monitoring, require a set of nanomachines to collaboratively achieve a common task, which clearly mandates practical realization of communication and networking at nanoscale. A number of nanomachines communicating with each other are envisioned to form a nanonetwork. Due to size and capabilities of these nanomachines, classical communication paradigms are inapplicable in nanonetworks. Hence, a set of new molecular and nanoscale communication paradigms is imperative for the realization of the future collaborative and distributed nanotechnology applications. In this tutorial, the current state-of-the-art in nanoscale communications and nanonetworking is captured. The recent advances in the field of nanotechnology primarily focusing on its novel artifacts affecting communication and networking technologies such as nano-transceivers, nano-radio, nano-antenna, nano-processor, nano-memory, nano-sensors, nano-batteries are introduced. The emerging nanotechnology applications requiring communication and networking at the nanoscale are discussed along with the associated communication challenges. The existing nanoscale communication approaches, e.g., molecular communications, bio-inspired nanoscale communications, nano-EM communications, and nano- optical communications, are elaborated along with their fundamental differences, strengths as well as shortcomings from communication and information theoretical perspectives. Finally, the open research issues along with a list of current active related research projects and dissemination tools for the related research results are presented. The objective of this tutorial is to provide better understanding of the potentials for nano- scale networking, and to motivate research community to further explore this timely and exciting field.

Instructor: Ozgur B. Akan

Ozgur B. Akan received the PhD degree in electrical and computer engineering from the School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, in  2004. He is currently Full Professor with the Department of Electrical and Electronics Engineering, Koc University and the Director of Next-generation and Wireless Communications Laboratory. His current research interests are in nanoscale and molecular communications, information theory, and next-generation wireless networks. Dr. Akan is an Associate Editor for IEEE Transactions on Vehicular Technology, International Journal of Communication Systems (Wiley), Nano Communication Networks Journal (Elsevier), European Transactions on Telecommunications. He served as an Editor for ACM/Springer Wireless Networks (WINET) Journal (2004- 2010), as an Area Editor for AD HOC Networks Journal (Elsevier) (2004-2008), as a Guest Editor for several special issues, as the General Co-Chair for ACM MobiCom 2012 and IEEE MoNaCom 2012, TPC Co-Chair for IEEE ISCC 2012, TPC Co-Chair for the 13th ACM International Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems (ACM MSWiM 2010), an International Vice Chair for IEEE INFOCOM 2006, and in organizing and technical program committees of many other international conferences. He is an IEEE Communications Society Distinguished Lecturer (2011-2012), IEEE Senior Member, and a member of ACM. He is the Vice President for IEEE Communications Society - Turkey Section. Dr. Akan received the IBM SUR Award 2011, IEEE Communications Society Outstanding Young Researcher Award 2010 for EMEA Region (as runner-up), the IBM Faculty Award twice in 2010 and 2008, Turkish Academy of Sciences Distinguished Young Scientist Award 2008, the 2006 Parlar Foundation Research Encouragement Award for his research in bio-inspired communication techniques for wireless communication networks, the 2006 Editor of the Year Award from AD HOC Networks (Elsevier) Journal, the Best Paper Award in IEEE ISCN 2006, the TUBITAK-Career Award in 2005, and the 2003 Researcher of the Year Award in Broadband and Wireless Networking Laboratory, School of Electrical and Computer Engineering, Georgia Institute of Technology.


T7. LTE-Advanced Modem Design: Challenges and Perspectives

Following the great commercial success of LTE Release 8/9, LTE-Advanced is set to become the leading solution for 4G cellular systems across the globe.  LTE-Advanced meets or exceeds the requirements set by the ITU for IMT-Advanced and offers increased peak data rate (3 Gbps in the downlink), higher spectral efficiency (30 b/s/Hz), and support to a larger number of simultaneously active subscribers.  In order to meet such ambitious performance targets, LTE-Advanced relies on innovative radio-access technologies that bring new challenges to its design and implementation.  In this tutorial, our main goal is to identify the main challenges in the design of signal processing algorithms and physical layer techniques for LTE-Advanced Release 10/11 mobile terminals, and to discuss possible solutions to the identified technical issues.  The primary areas to be covered for Release 10 are:  carrier aggregation, enhanced inter-cell interference coordination (eICIC) for heterogeneous networks (HetNets), detection of eight-layer transmission, reference signals for enhanced multi-antenna support, and hybrid automatic repeat request (HARQ) buffer management.  Covering Release 11 modem design challenges, coordinated multiple point (CoMP) transmission and reception will also be discussed.  For each of these topics, we present an overview of their main design challenges and discuss possible solutions.

Instructors: Dongwoon Bai, Claudio R. C. M. da Silva, and Jungwon Lee

Dongwoon Bai is currently with Samsung Mobile Solutions Lab where he serves as a technical leader for a team of engineers with PhD degrees.  In 2000, he joined the Electronic Engineering Department at Korea Air Force Academy as an instructor, giving lectures on various courses in electrical engineering.  From 2003 to 2004, he was with Electronics and Telecommunications Research Institute working on the development of 60 GHz wireless LAN.  From 2006 to 2008, he worked for AT&T Labs Research and Mitsubishi Electric Research Laboratories (MERL) as a summer intern.  In 2009, he joined AppliedMicro (AMCC) developing 10 gigabit Ethernet chipset over copper cables (10GBASE-T).  Since 2011, he has been with Samsung. He received the B.S. degree in electrical engineering from Seoul National University in 1998 and the M.S. degree in electrical engineering from KAIST in 2000.  He received the S.M. degree in applied mathematics and the Ph.D. degree in engineering science from Harvard University in 2006 and 2009, respectively.  He has published more than a dozen of research papers and holds several U.S. patents that are issued or pending.  He has been serving as a technical program committee member and a reviewer for various journals.

Claudio R. C. M. da Silva
is a Senior Staff Engineer with Samsung's Mobile Solutions Lab.  He has over ten years of experience in the design and analysis of receiver architectures and signal processing algorithms for advanced wireless communication devices.  Prior to joining Samsung, Dr. da Silva was an Assistant Professor at Virginia Tech, where he conducted research on dynamic spectrum access and cognitive radio networks.  Dr. da Silva received the B. S. and M. S. from the State University of Campinas in 1999 and 2001, respectively, and the Ph.D. from the University of California, San Diego in 2005.Dr. da Silva received the best student paper award at the 2003 IEEE Conference on Ultra-Wide Band Systems and Technologies, and was a California Institute of Telecommunications and Information Technology graduate student fellow during the 2001-2002 academic year.  He is a Senior Member of the IEEE and has served on the technical program committee of numerous IEEE conferences.  Dr. da Silva is an Associate Editor for Modulation and Signal Design for the IEEE Transactions on Communications.


Jungwon Lee
is a Senior Director at Samsung Mobile Solutions Lab in San Diego, CA, in charge of an R&D lab consisting of more than 30 engineers with PhD degrees.  He received his PhD degree in Electrical Engineering from Stanford University in 2005.  From 2000 to 2003, he worked for National Semiconductor, Telcordia Technologies, AT&T Shannon Labs Research, and Ikanos Communications as a research intern or a consultant.  From 2003 to 2010, he was with Marvell Semiconductor Inc., as a Principal Engineer.  Since 2010, he has been with Samsung US R&D Center. Dr. Lee has co-authored more than 50 papers as well as numerous standards contributions for various standards bodies, and he holds over 60 US patents.  He is a Senior Member of the IEEE and an Editor for IEEE Communications Letters, and he has served on the technical program committee of many IEEE conferences.  Dr. Lee's main research interests lie in wireless and wireline communication theory.


T8. Monitoring and Optimization for Smarter Power Grids

The pressing need to modernize the aging power grid has culminated into the smart grid vision, which entails the widespread use of state-of-the-art sensing, control, and communication technologies. The deployment of these smart technologies calls for novel grid monitoring and optimization techniques.  This tutorial focuses on how current research challenges in power grid monitoring and optimization can be addressed through signal processing, communications, and networking toolboxes. After an overview of fundamental power engineering concepts, a wide range of modern research topics will be presented, including power system state estimation, phasor measurement units, line outage identification, price and load forecasting, economic operation of power systems, demand response, electric vehicles, and renewable energy management.

Instructors: Georgios B. Giannakis, Vassilis Kekatos, and Nikolaos Gatsis

Georgios B. Giannakis (IEEE Fellow '97) received his Diploma in Electrical Engr. from the Ntl. Tech. Univ. of Athens, Greece, 1981. From 1982 to 1986 he was with the Univ. of Southern California (USC), where he received his MSc. in Electrical Engineering, 1983, MSc. in Mathematics, 1986, and Ph.D. in Electrical Engr., 1986. Since 1999 he has been a professor with the Univ. of Minnesota, where he now holds an ADC Chair in Wireless Telecommunications in the ECE Department, and serves as director of the Digital Technology Center. His general interests span the areas of communications, networking and statistical signal processing - subjects on which he has published more than 350 journal papers, 580 conference papers, 20 book chapters, two edited books and two research monographs (h-index 103). Current research focuses on sparsity and big data analytics, wireless cognitive radios, mobile ad hoc networks, renewable energy, power grid, gene-regulatory, and social networks. He is the (co-) inventor of 21 patents issued, and the (co-) recipient of 8 best paper awards from the IEEE Signal Processing (SP) and Communications Societies, including the G. Marconi Prize Paper Award in Wireless Communications. He also received Technical Achievement Awards from the SP Society (2000), from EURASIP (2005), a Young Faculty Teaching Award, and the G. W. Taylor Award for Distinguished Research from the University of Minnesota. He is a Fellow of EURASIP, and has served the IEEE in a number of posts, including that of a Distinguished Lecturer for the IEEE-SP Society.


Vassilis Kekatos (IEEE Member ’10) received his Diploma, M.Sc., and PhD in Computer Engineering & Informatics from the Univ. of Patras, Greece, in 2001, 2003, and 2007, respectively. He is currently a postdoctoral associate with the ECE Dept. at the Univ. of Minnesota. In 2009, he received the Marie Curie fellowship. During the summer of 2012, he worked as a consultant for Windlogics Inc, a company for providing forecasting and optimization solutions for sustainable power systems. His research interests lie in the areas of statistical signal processing with emphasis on power grid applications, compressive sampling, and wireless communications.

Nikolaos Gatsis
(IEEE Member ’12) received his Diploma degree in Electrical and Computer Engineering from the University of Patras, Greece, in 2005 with honors. He completed his graduate studies at the University of Minnesota, where he received the M.Sc. degree in Electrical Engineering in 2010, and the Ph.D. degree in Electrical Engineering with minor in Mathematics in 2012. He is currently a Postdoctoral Research Associate with the Department of Electrical and Computer Engineering at the University of Minnesota. He was a Research Intern at Mitsubishi Electric Research Laboratories, Boston, MA, during the summer of 2011. His research interests lie in the areas of smart power grids, renewable energy management, wireless communications and networking, with an emphasis on optimization methods and resource management.


T9. Opportunistic Communication: Unified View and New Applications

The basic idea of opportunistic communication is that if multiple users, each with independently fading channels, want to use the same wireless resource, then allocating the resource to the best user at each time is throughput-optimal. This simple concept and its extensions have found application in a variety of scenarios in wireless communication. Furthermore, recent developments indicate the principles of opportunistic communication may apply to a wider set of applications than previously thought. This tutorial is dedicated to providing a unifying overview of past work and and a glimpse into the future directions in this area.

Historically, the first instance of opportunistic communication was in the context of multiuser diversity. We begin with an outline of the basics of multiuser diversity, develop the basic principles and performance limits, and explore some of the practical aspects of the problem, including limited feedback.
We will then branch out to other examples of opportunistic communication, starting with antenna selection. It is known that most of the cost as well as a good part of (non-radiating) energy expenditure of transceivers is in the RF chains. Antenna selection is a MIMO technique that tries to minimize the number of RF chains while maintaining a good part of MIMO gains. We will discuss the key results in this area, among them antenna selection algorithms and approximations to the capacity of the antenna selection channel in both low and high SNR.
Another manifestation of opportunistic communication is in relay selection. Cooperation and relays have garnered a great deal of attention lately. We will discuss techniques for computing the diversity or the diversity-multiplexing tradeoff in relay selection, and will outline some subtle pitfalls in the design of relay selection systems. We will show that relay selection can have advantages both in terms of reliability as well as throughput.
In the last segment of the tutorial, we will discuss two advanced topics. First, new results that allow the extension of opportunistic communication to new network topologies that previously were not known to support multiuser diversity, for example the broadcast relay channel. Second, we will discuss the role of opportunistic communication in cognitive radio.

Instructor: Aria Nosratinia

Aria Nosratinia is Erik Jonsson Distinguished Professor and associate head of the electrical engineering department at the University of Texas at Dallas. He received his Ph.D. in Electrical and Computer Engineering from the University of Illinois at Urbana-Champaign in 1996. He has held visiting appointments at Princeton University, Rice University, and UCLA. Dr. Nosratinia is a fellow of IEEE for contributions to multimedia and wireless communications. He is  area editor for the IEEE Transactions on Wireless Communications. He has been an editor for the IEEE Transactions on Information Theory, IEEE Transactions on Image Processing,, IEEE Signal Processing Letters, IEEE Wireless Communications (Magazine), and Journal of Circuits, Systems, and Computers. He has received the National Science Foundation career award, and the outstanding service award from the IEEE Signal Processing Society, Dallas Chapter. He has served as the secretary of the IEEE information theory society, treasurer for ISIT, publications chair for the IEEE Signal Processing Workshop, as well as member of the technical committee for various conferences, including Globecom.


T10. Topology-Aware Modeling, Analysis, and Design of Multi-Tier Cellular Networks

Recently, stochastic geometry models have been shown to provide tractable and accurate bounds for multi-tier (which is also referred to as heterogeneous or small cell wireless networks) and cognitive cellular wireless networks. Furthermore, stochastic geometry is the only mathematical tool that can capture the location-dependent interactions among the coexisting network entities and enables a topology-aware analysis and design of wireless networks. This tutorial will provide an extensive overview of the stochastic geometry modeling approach for multi-tier cellular networks, and the state-of-the-art research on this topic. After motivating the requirements for topology-aware modeling for the next generation cellular networks, we will introduce the basic stochastic geometry modeling tools and preliminaries. Then, we will present a comprehensive survey on the literature related to stochastic geometry models for single-tier as well as multi-tier and cognitive cellular wireless networks. We will also present a taxonomy of the existing literature on stochastic geometry modeling of cellular wireless networks based on the target network model, the point process used, and the performance evaluation technique. Finally, we will discuss the open research challenges and future research directions.

Instructors: Ekram Hossain and Hesham ElSawy

Ekram Hossain is a Professor in the Department of Electrical and Computer Engineering at University of Manitoba, Winnipeg, Canada. He received his Ph.D. in Electrical Engineering from University of Victoria, Canada, in 2001. Dr. Hossain’s current research interests include design, analysis, and optimization of wireless/mobile communications networks, cognitive radio systems, and network economics. He has authored/edited several books in these areas. Dr. Hossain serves as the Editor-in-Chief for the IEEE Communications Surveys and Tutorials (for the term 2012-2013) and an Editor for the IEEE Journal on Selected Areas in Communications - Cognitive Radio Series and IEEE Wireless Communications. Previously, he served as the Area Editor for the IEEE Transactions on Wireless Communications in the area of “Resource Management and Multiple Access” from 2009-2011 and an Editor for the IEEE Transactions on Mobile Computing from 2007-2012. Dr. Hossain has won several research awards including the University of Manitoba Merit Award in 2010 (for Research and Scholarly Activities), the 2011 IEEE Communications Society Fred Ellersick Prize Paper Award, and the IEEE Wireless Communications and Networking Conference 2012 (WCNC’12) Best Paper Award. He is a Distinguished Lecturer of the IEEE Communications Society for the term 2012-2013. Dr. Hossain is a registered Professional Engineer in the province of Manitoba, Canada.

Hesham ElSawy received his B.Sc. and M.Sc. both in electrical engineering from Assiut University, Assiut, Egypt, and Arab Academy for Science and Technology, Cairo, Egypt, in 2006 and 2009, respectively. Currently, he is a Ph.D. candidate in the Department of Electrical and Computer Engineering, University of Manitoba, Canada. During the period of 2006 to 2010, he worked at the National Telecommunication Institute, Egypt, where he conducted professional training both at the national and international levels as well as research on network planning. Since 2010, he has been with TRTech, Winnipeg, Canada, as a student researcher. For academic excellence, Hesham has been a recipient of several academic awards including the Natural Sciences and Engineering Research Council of Canada (NSERC) Industrial Postgraduate Scholarship (IPS) during the period of 2010-2013, and the TRTech graduate student fellowship during the period of 2010-2014, and the University of Manitoba’s international graduate student scholarship in 2011. Hesham’s research interests include statistical modeling of wireless networks, stochastic geometry and queueing analysis for wireless communication networks.


T11. Towards Distributed Autonomous Underwater Sensor Networks: Principles, Development, and Future

The Earth is a water planet. For decades, there have been significant interests in monitoring aquatic environments for scientific exploration, commercial exploitation and coastline protection. Highly precise, real-time, and temporal-spatial continuous aquatic environment monitoring systems are extremely important for various applications, such as oceanographic data collection, pollution detection, and marine surveillance. Underwater sensor networks (UWSNs) is envisioned to be one powerful solution for various applications.
Even though underwater sensor networks (UWSNs) share some common properties with terrestrial sensor networks, such as the large number of nodes and limited energy, UWSNs are significantly different from the conventional terrestrial sensor network technology. First, radio communications do not work well under the water. They must be replaced by acoustic communications, which have very different travel time and characteristics. In particular, acoustic channels feature large propagation latency, low bandwidth capacity and high error rate.  Second, while most ground sensors are static, underwater sensor nodes may move with water currents and other underwater activities. Due to the very different environment properties and also the unique nature of the aquatic applications, the protocols developed for terrestrial sensor networks are not directly applicable to underwater sensor networks. Simple underwater monitoring systems have been introduced in the past.  However, they are small-scale and rely on point-to-point, single channel techniques such as remote telemetry or sequential local sensing. The complexity of the environment and the sophistication of the user scenarios demand a more
scalable, networked solution. This requires new research at every layer of the protocol stack (from the physical layer to the application layer) and new underwater experimental infrastructure to implement, test and compare the solutions. 
In this tutorial, we will first discuss the design principles of UWSNs, and then we will highlight the recent progress on fundamental research issues in UWSNs, including efficient acoustic communications, multiple access control, data routing and forwarding, reliable data transfer, localization and synchronization, etc. We will also present various design issues of modem prototyping and network testbed development. We will highlight the opportunities available to the research community through the open-access Ocean Testbed for Underwater Networks Experiments (Ocean-TUNE) that is currently under development. In the end, we will point out the open issues and future research directions in this field.

Instructors: Shengli Zhou and Jun-Hong Cui

Shengli Zhou received B.S. and M.Sc.  degrees in electrical engineering and information science from the University of Science and Technology of China, Hefei, in 1995 and 1998, respectively, and a Ph.D. degree in electrical engineering from the University of Minnesota, Minneapolis, in 2002.  He is now a full professor with the Department of Electrical and Computer Engineering at the University of Connecticut (UCONN). He has held a United Technologies Corporation (UTC) Professorship in Engineering Innovation, 2008-2011, and the Charles H. Knapp Associate Professor in Electrical Engineering, 2012-2013. His research interests lie in the areas of communications and signal processing. His recent interest is focused on underwater acoustic communications and networking. Dr. Zhou received 2007 ONR Young Investigator Program (YIP) and the 2007 Presidential Early Career Award for Scientists and Engineers (PECASE).

Jun-Hong Cui received her B.S. degree in Computer Science from Jilin University, China in 1995, and M.S. degree in Computer Engineering from Institute of Computing Technology, Chinese Academy of Sciences in 1998, and Ph.D degree in Computer Science, University of California, Los Angeles, in 2003. She is now a full professor with the Computer Science & Engineering Department at University of Connecticut. Her research interests cover the design, modelling, and performance evaluation of networks and distributed systems. Dr. Cui co-founded the ACM International Workshop on UnderWater Networks (WUWnet), and is currently serving as the steering committee chair. She won NSF CAREER Award in 2007, and ONR YIP Award in 2008. She received the United Technologies Corporation (UTC) Professorship in Engineering Innovation award at University of Connecticut in 2008.


T12. Implementing Network Coding

Network coding has raised a lot of interest in the research community lately and first attempts in standardization bodies are taking place to integrate this ground breaking technology in commercial products. This tutorial will give a short introduction to network coding, but the main focus is to enable the audience to implement their own ideas either in simulations or in real testbeds. Therefore the tutorial organizers will present their own software library for network coding. The software library comes with a small simulation environment to test out first simple relaying topologies. It can be further integrated into NS3 and allows more complex simulations. The tutorial will show how to embed the software library and to do the parameterization for different scenarios. Understanding the impact of different parameter choices are of critical importance in order to successfully deploy network coding in real networks and on real devices. Throughout the tutorial participants will gain hands-on experience with the impact of key parameters such as finite field size, generation size and systematic coding.
The tutorial will also show how to implement the software on commercial platforms such as Android phones, tablets, or laptops. Some demonstrators of network coding will be available showing the full potential of network coding in larger testbeds. The goal of the tutorial is that each participant understands the basic functionality of network coding and is able to integrate network coding in own projects. The software library is fully accessible to the audience even after the tutorial. This tutorial will be held for the first time and the implementation of network coding is a very timely topic.

Instructors: Frank H.P. Fitzek and Morten V. Pedersen

Frank H. P. Fitzek
is a Professor in the department of Electronic Systems, University of Aalborg, Denmark heading the Mobile Device group. He received his diploma (Dipl.-Ing.) degree in electrical engineering from the University of Technology - Rheinisch-Westfälische Technische Hochschule (RWTH) - Aachen, Germany, in 1997 and his Ph.D. (Dr.-Ing.) in Electrical Engineering from the Technical University Berlin, Germany in 2002 and became Adjunct Professor at the University of Ferrara, Italy. He co-founded the start-up company acticom GmbH in Berlin in 1999. He has visited various research institutes including Massachusetts Institute of Technology (MIT), VTT, and Arizona State University. In 2005 he won the YRP award for the work on MIMO MDC and received the Young Elite Researcher Award of Denmark. He was selected to receive the NOKIA Champion Award four times in a row in 2007 to 2010. In 2008 he was awarded the Nokia Achievement Award for his work on cooperative networks. His current research interests are in the areas of wireless and mobile communication networks, mobile phone programming, cross layer as well as energy efficient protocol design and cooperative networking.

Morten V. Pedersen
is a Postdoctoral Researcher in the Department of Electronic Systems of Aalborg University. He received his B.Sc in Electronics Engineering in 2007 and M.Sc. in wireless communication in 2009 both from Aalborg University, Denmark. In 2012 he received his Ph.D. in wireless communication from Aalborg University. From January 2006 he has been working in the Mobile Devices research group at Aalborg University, where his primary focus has been implementation and performance evaluation of Network Coding and cooperative networking protocols. He is the main author of the Network Coding software library Kodo, as well as a number of other scientific software libraries. In 2010 he was appointed the Nokia Developer Champion award. His main research interests are network coding, cooperative communication and network performance evaluation.


T14. Wireless Device-to-Device Communications and Networks

Mobile data traffic, especially mobile video traffic, has dramatically increased in recent years with the emergence of smart phones, tablets, and various new applications. It is hence crucial to increase network capacity to accommodate these bandwidth consuming applications and services. D2D communication, which has been listed in 3GPP as a study item, is a promising concept to improve user experiences and resource utilization in cellular networks, both for licensed and unlicensed spectrum. However, design, analysis, and optimization of D2D communications & networking require multidisciplinary knowledge, such as wireless communication and networking, signal processing, artificial intelligence (e.g., for learning), decision theory, optimization, and economic theory. Therefore, this tutorial, containing the basic concepts/theories for addressing research advances that enable D2D communications in cellular networks, the state-of-the-art of research and development and the related information, will be useful in designing D2D-based wireless communications systems and services.

Instructors: Lingyang Song and Zhu Han

Lingyang Song received his PhD from the University of York, UK, in 2007, where he received the K. M. Stott Prize for excellent research. He worked as a postdoctoral research fellow at the University of Oslo, Norway, and Harvard University, until rejoining Philips Research UK in March 2008. In May 2009, he joined the School of Electronics Engineering and Computer Science, Peking University, China, as a full professor. His main research interests include MIMO, OFDM, cooperative communications, cognitive radio, physical layer security, game theory, and wireless ad hoc/sensor networks. He is co-inventor of a number of patents (standard contributions), and author or co-author of over 100 journal and conference papers. He received the best paper award in IEEE International Conference on Wireless Communications, Networking and Mobile Computing (WiCOM 2007), the best paper award in the First IEEE International Conference on Communications in China (ICCC 2012), the best student paper award in the7th International Conference on Communications and Networking in China (ChinaCom2012), and the best paper award in IEEE Wireless Communication and Networking Conference (WCNC2012). Dr. Song is an Associate Editor of IEEE Transactions on Wireless Communications since 2012.He is the recipient of 2012 IEEE Asia Pacific (AP) Young Researcher Award, and 2012 National Science Foundation of China (NSFC) Outstanding Young Investigator Award. He is a senior member of IEEE.

Zhu Han
received the B.S. degree in electronic engineering from Tsinghua University, in 1997, and the M.S. and Ph.D. degrees in electrical engineering from the University of Maryland, College Park, in 1999 and 2003, respectively. From 2000 to 2002, he was an R&D Engineer of JDSU, Germantown, Maryland. From 2003 to 2006, he was a Research Associate at the University of Maryland. From 2006 to 2008, he was an assistant professor in Boise State University, Idaho. Currently, he is an Assistant Professor in Electrical and Computer Engineering Department at University of Houston, Texas. His research interests include wireless resource allocation and management, wireless communications and networking, game theory, wireless multimedia, and security. Dr. Han is an NSF CAREER award recipient 2010. Dr. Han is an Associate Editor of IEEE Transactions on Wireless Communications since 2010. Dr. Han is the winner of the 2011 IEEE Communications Society Fred W. Ellersick Prize. Dr. Han is the coauthor for the papers that won the 7 best paper awards in IEEE International Conferences.


T15. Wireless Network Economics and Games

Today’s communication networks are highly complex, carry heterogeneous traffic in diverse environments, and are often owned by multiple profit-making entities. To successfully maintain, optimize, and upgrade such large distributed networks, it is important to design new economic incentive mechanisms as well as develop new technologies. The deregulation of the telecommunication industry in many countries makes the interactions between government regulators, commercial network operators, and consumers increasingly complex. Such interactions often can be best understood from a game theoretical point of view. The latest development of wireless access networks, such as small cell technologies, dynamic spectrum sharing, and cooperative communication schemes, bring many new economical issues in network planning, deployment, and operations. 
The objective of this tutorial is to introduce key economic and game theoretical issues in the development of modern wireless communication networks. We will provide a short introduction on game theory and network economics, including static game and Nash equilibrium, dynamic games and subgame perfect equilibrium, games with incomplete information, price differentiation, oligopoly competition, and network externality. Then we will illustrate relevant applications in wireless communications, through case studies of femtocell economics, Wi-Fi data offloading,  cellular network upgrade, cooperative spectrum bargaining, dynamic spectrum leasing, and spatial spectrum sharing. The tutorial will help the conference attendees to get a good exposure of this fast-growing and fascinating interdisciplinary research area, and enough background information to appreciate the important theoretical and practical issues in the related industry. 
The target audience of this tutorial will be researchers, engineers, and regulators in the wireless industry, who are interested in understanding the technology-economics interactions as well as the principles of designing robust and incentive compatible network protocols in distributed and heterogeneous networks. The audience is expected to understand the basics of wireless communications and networking.

Instructor: Jianwei Huang

Jianwei Huang is an Associate Professor in the Department of Information Engineering at the Chinese University of Hong Kong. He received Ph.D. in Electrical and Computer Engineering from Northwestern University in 2005, and worked as a Postdoc Research Associate at Princeton University during 2005-2007. Dr. Huang leads the Network Communications and Economics Lab, with the main research focus on nonlinear optimization and game theoretical analysis of networks, especially on network economics, cognitive radio networks, and smart grid. He is the recipient of the IEEE Marconi Prize Paper Award in Wireless Communications in 2011, and a co-author of Best Paper Awards from IEEE SmartGridComm 2012, WiCON 2011, GLOBECOM 2010, and APCC 2009. He received the IEEE ComSoc Asia-Pacific Outstanding Young Researcher Award in 2009. Dr. Huang has served as Editor of IEEE Journal on Selected Areas in Communications - Cognitive Radio Series, Editor of IEEE Transactions on Wireless Communications, Guest Editor of IEEE Journal on Selected Areas in Communications special issue on "Economics of Communication Networks and Systems", Lead Guest Editor of IEEE Journal of Selected Areas in Communications special issue on "Game Theory in Communication Systems", and Lead Guest Editor of IEEE Communications Magazine Feature Topic on "Communications Network Economics". Dr. Huang is the Chair of IEEE ComSoc Multimedia Communications Technical Committee, and is a Steering Committee Member of IEEE Transactions on Multimedia and IEEE ICME. He has served as a Co-Chair of IEEE GLOBECOM SAC Symposium (Game Theory for Communications Track) 2013, IEEE WiOpt 2012, IEEE ICCC Communication Theory and Security Symposium 2012, IEEE GlOBECOM Wireless Communications Symposium 2010, IWCMC Mobile Computing Symposium 2010, and GameNets 2009. He has been a TPC member of IEEE INFOCOM (2009-2014) and ACM Mobihoc (2009, 2012, 2013). He is a Senior Member of IEEE.


T16. Emerging Concepts and Technologies Towards 5G Wireless Networks

Despite the recent advances in wireless technologies, the wireless community faces the challenge of enabling a further traffic increase of up to 1,000 times in the next 10 years or so, while no customer is willing to pay more for the wireless pipe itself: the so called “traffic-revenue decoupling”. Moreover, many experts warn that the low-hanging fruits in wireless research (especially in information theory, communications theory, and signal processing) have already been collected. While the research community is full of ideas (as usual), many of these idea are either not-too-relevant (i.e., not in the bottleneck areas) or they are in areas in which progress toward a tangible implementation is too slow.
In the first part of this tutorial, the following topics will be covered:
  • Fundamental dynamics of cellular communications
  • 3GPP operation
  • Key technologies in LTE and LTE-Advanced
  • Emerging challenges and opportunities in beyond-2020 wireless networks
  • Bottleneck problems in beyond-2020 wireless networks
In the second part of the tutorial, the potential research directions towards coping with the bottleneck problems, especially in the context of radio access network (RAN), resource allocation, layers 1, 2, and 3, will be discussed; the underlying mathematical tools will also be highlighted:
  • Interference-robust PHY
  • Non-coherent communications
  • New frontiers in resource allocation
  • Steerable beamforming at the terminal with resource allocation
  • Uplink distributed multi-channel multiple-access in cellular
  • Inter-cell load coordination (ICLC) for non-uniform traffic
  • Interdisciplinary approaches in decision making
  • Cell switching off in dense small cell deployment  +  RRM
  • Robust algorithms and protocols
  • Layer 8 – User-in-the-loop  (demand shaping in space and time)
In the absence of a clear technology roadmap towards 5G, the tutorial has, to a certain extent, an exploratory view point to stimulate further thinking and creativity. We are certainly at the dawn of a new era in wireless research and innovation; the next twenty years will be very interesting.

Instructor: Halim Yanikomeroglu

Halim Yanikomeroglu is a full professor at the Department of Systems and Computer Engineering at Carleton University, Ottawa, Canada. His research interests cover many aspects of wireless technologies with a special emphasis on cellular networks. Dr. Yanikomeroglu coauthored about 60 journal and 170 conference papers, and has given more than 20 tutorials in leading international conferences on wireless technologies; his papers have received more than 5,000 citations. In recent years, Dr. Yanikomeroglu’s research has been funded by Huawei, RIM, Samsung, Communications Research Centre of Canada (CRC), Telus, and Nortel. This collaborative research resulted in about 15 patent applications. Dr. Yanikomeroglu is a former member of the Steering Committee of the IEEE Wireless Communications and Networking Conference (WCNC). He served or will serve as the Technical Program Chair or Co-Chair of WCNC 2004, WCNC 2008, and WCNC 2014. He was the General Co-Chair of the IEEE Vehicular Technology Conference Fall 2010. Dr. Yanikomeroglu has served in the editor boards of IEEE Transactions on Communications, IEEE Transactions on Wireless Communications, and IEEE Communications Surveys and Tutorials. He is a former chair of the IEEE's Technical Committee on Personal Communications (now called, Wireless Technical Committee). Dr. Yanikomeroglu is a recipient of several teaching and research excellence awards. He is a Distinguished Lecturer for the IEEE Vehicular Technology Society.


T17. Cross-Layer Design for Spectrum- and Energy-Efficient Wireless Networks

The future success of communication networks hinges on the ability to overcome the mismatch between requested quality of service (QoS) and limited network resources. Spectrum is a natural resource that cannot be replenished and therefore must be used efficiently. On the other hand, energy efficiency is increasingly important for the society, especially for wireless networks because of the growing demand in mobile communications, shortage in energy supply, and need of environmental protection. To meet the energy efficiency demand, traditional design philosophies of existing network architectures and protocols should be revisited. More importantly, many of them need to be broken to come up with new ones. This tutorial introduces state-of-the-art cross-layer technologies to improve both spectral and energy efficiencies from different perspectives of wireless networks. We will first discuss basic wireless channel properties and methodologies needed to enable high-performance wireless networks. Then we introduce recent spectrum- and energy-efficient communication technologies for both individual- and multi-user networks. To be more specific, our treatment will cover not only centralized wireless networks like cellular access networks, but also distributed ones like ad hoc and sensor networks. We will discuss in detail the relation between SE and EE in different types of wireless networks and introduce new guidelines that will significantly improve SE and EE for future network design.

Instructor: Guowang Miao

Guowang Miao (S’03, M’10) received his B.S. and M.S. degree in electronic engineering in 2003 and 2006 from Tsinghua University, Beijing, China, and his M.S. degree and Ph.D. degree in electrical and computer engineering in 2009 from Georgia Institute of Technology, Atlanta, GA, USA. He joined Dallas Telecom Lab of Samsung, Texas, in Jan 2010 as a Senior Algorithms and Standards Engineer and worked on 5G communications technologies and 3GPP Long Term Evolution – Advanced (LTE-A) Standard, with a focus on both RAN 1 and 2. In 2011, he won an Individual Gold Award from Samsung Telecom America for his contribution in LTE-A standardization. Starting in Fall 2011, he is an assistant professor in the Department of Communications Systems, KTH - The Royal Institute of Technology, Stockholm, Sweden. His research interest is in the design and optimization of wireless communications and networking. He serves as a technical reviewer of more than twenty international journals and conferences. He has been a technical program committee member of many international conferences. He is also on the editorial board of several international journals. He was an exemplary reviewer for IEEE Communications Letters in 2011.


T18. Energy Harvesting Wireless Communications

Wireless communication networks composed of devices that can harvest energy from nature represent the green future of wireless. Energy harvesting technologies offer the possibility of perpetual operation and no adverse effects on the environment. By developing effective and robust communication techniques to be used under energy harvesting conditions, some of the communication devices and networks can be taken off the power grid, thereby decreasing the overall consumption of energy and the accompanying carbon footprint in the future, by a non-negligible amount.  Energy harvesting brings new dimensions to communication system design in the form of randomness and intermittency of available energy, as well as additional system issues to be concerned about such as energy storage capacity and processing complexity. The goal of this tutorial is to furnish the audience with fundamental design principles of energy harvesting wireless communication networks, building on a foundation of energy efficient communications and these new ingredients that provide design insights specific to this emerging topic. The focus will be on physical and medium access layers incorporating the state of research.

Instructors: Sennur Ulukus and Aylin Yener

Sennur Ulukus is a Professor of Electrical and Computer Engineering at the University of Maryland at College Park, where she also holds a joint appointment with the Institute for Systems Research (ISR). Prior to joining UMD, she was a Senior Technical Staff Member at AT&T Labs-Research. She received her Ph.D. degree in Electrical and Computer Engineering from Wireless Information Network Laboratory (WINLAB), Rutgers University, and B.S. and M.S. degrees in Electrical and Electronics Engineering from Bilkent University. Her research interests are in wireless communication theory and networking, network information theory for wireless communications, signal processing for wireless communications, information-theoretic physical-layer security, and energy-harvesting communications. Dr. Ulukus received the 2003 IEEE Marconi Prize Paper Award in Wireless Communications, a 2005 NSF CAREER Award, the 2010-2011 ISR Outstanding Systems Engineering Faculty Award, and the 2012 George Corcoran Education Award. She served as an Associate Editor for IEEE Transactions on Information Theory and IEEE Transactions on Communications. Recently, she served as a Guest Editor for the Journal of Communications and Networks for the special issue on energy harvesting in wireless networks.  She served as TPC co-chair of communication theory and wireless communications symposia, and multiple access track at IEEE ICC, Globecom and WCNC.

Aylin Yener received B.Sc. degrees with honors in electrical and electronics engineering, and in physics, from Bogazici University, Istanbul, Turkey, and the M.S. and Ph.D. degrees in electrical and computer engineering from the Wireless Information Network Laboratory (WINLAB), Rutgers University, NJ.  She was P.C. Rossin Assistant Professor of Electrical Engineering and Computer Science at Lehigh University, PA in 2001. In 2002, she joined the faculty of The Pennsylvania State University, University Park, where she was an Assistant Professor, then Associate Professor, and is currently Professor of Electrical Engineering since 2010. During the academic year 2008-2009, she was a Visiting Associate Professor of Electrical Engineering at Stanford University, CA. Her research interests are in the broad areas of wireless communication theory, information theory, and network science, with recent emphasis on green communications and information security. She is a recipient of the NSF CAREER award in 2003.   Dr. Yener previously served as Technical Program Chair in various symposia, workshop, and tracks of the IEEE Communications Society, as well as on the editorial boards of Transactions on Wireless Communications and Transactions on Communications. She currently serves on the board of governors of the IEEE Information Theory Society as its Treasurer.


T19. Machine-to-Machine Technologies & Markets - Shift of Industries

The unprecedented communication paradigm of machine-to-machine (M2M), facilitating 24/7 ultra-reliable connectivity between a prior unseen number of automated devices, is currently gripping both industrial as well as academic communities. The aim of this tutorial is to provide a detailed academic, technical and industrial insight into latest key aspects of wireless M2M networks, with particular application to smart cities, big data and business potentials. We will provide an in-depth introduction to the particularities of M2M systems, and then dwell in great depths on the capillary and cellular embodiments of M2M. The focus of capillary M2M will be on IEEE (.15.4e) and IETF (6LoWPAN, ROLL, COAP) standards compliant low-power multihop networking designs; furthermore, for the first time, low power Wifi will be dealt with and positioned in the eco-system of capillary M2M. The focus of cellular M2M will be on latest activities, status and trends in leading M2M standardization bodies with technical focus on ETSI M2M and 3GPP LTE-M; furthermore, we will discuss latest analytical and simulation works quantifying the performance and impact of M2M in legacy cellular networks. In addition, an M2M market and business perspective will be also provided in this tutorial. Understanding the potential of Big Data, the market trends and the business models applicable to M2M are fundamental to inspire academia and industry to devise new technologies and put into market viable and flexible M2M solutions. Along the entire tutorial, challenges and open issues will be identified, thus making the material presented in this tutorial useful for industry and inspiring for researchers and academics alike.

Instructors: Mischa Dohler, Matt Hatton, and Jesus Alonso-Zarate

Mischa Dohler is Chair Professor in Wireless Communications at King's College London, UK. He is Distinguished Lecturer of IEEE ComSoc, Senior Member of the IEEE, and Editor-in-Chief of ETT. He frequently features as keynote speaker and had press coverage by BBC and Wall Street Journal. He is a tech company investor and also entrepreneur, being the cofounder, former CTO and now with the Board of Directors of Worldsensing. He is fluent in 6 languages. In the framework of the Mobile VCE, he has pioneered research on distributed cooperative space-time encoded communication systems, dating back to December 1999 and holding some early key patents. He has published more than 160 technical journal and conference papers at a citation h-index of 32 and citation g-index of 67, holds a dozen patents, authored, co-edited and contributed to 19 books, has given more than 30 international short-courses, and participated in ETSI, IETF and other standardisation activities. He has been TPC member and co-chair of various conferences, such as technical chair of IEEE PIMRC 2008 held in Cannes, France. He is/has been holding various editorial positions for numerous IEEE and non-IEEE journals and special issues. From 2008-2013, he held various roles at CTTC such as Director of Research, Head of Intelligent Energy [IQe] and Senior Researcher. From 2010-2012, he was CTO of Worldsensing. From 2005 to 2008, hewasSenior Research Expert in the R&D division of France Telecom, France. From 2003 to 2005, he was lecturer at King's College London, UK.

Matt Hatton
is a widely respected wireless industry expert with 15 years' experience in the mobile sector. He is currently a Director at Machina Research, a specialist research and consultancy firm focusing on the M2M, IoT and Big Data. Prior to establishing Machina Research, Matt worked at 3 UK, Yankee Group and Analysys Mason. Matt’s current focus at Machina Research is squarely on the emerging opportunity for machine-to-machine communication. He is considered one of the foremost industry experts on M2M. As well as managing a growing team of analysts at Machina Research he spends his time helping mobile network operators, vendors, regulators and numerous other interested parties to understand the implications and opportunities presented by the growth of new connected devices. Matt is widely quoted in both trade publications and the wider national and international press. He also speaks frequently at conferences and acts as a judge for a number of prestigious awards. Matt holds an MSc in Telecommunications (Distinction) from University College London.

Jesus Alonso-Zarate
is now leading the M2M Department at CTTC. He is IEEE Senior Member, received his MSc (with Honors) and PhD (Cum Laude) degrees in Telecommunication Engineering from the Universitat Politècnica de Catalunya (UPC, Spain) in March 2004 and February 2009, respectively. In 2011, he received the UPC Award for his thesis read during the course 2008/2009 (Premi Extraordinari de Doctorat 2011). He is now with the CTTC holding a Research Associate position. He has published more than 60 scientific papers in renowned international journals and international conferences over the last years and he has also participated in both public funded and industrial research projects. He is member of the IEEE ComSoc CSIM Technical Committee (Communication Systems Integration and Modeling) and works as reviewer and chair for numerous international conferences. He is part of the Editorial Board of the IET Wireless Sensor Systems Journal and acts as Guest Editor for a number of international journals devoted to wireless communications. In 2011, he was awarded with the Best Paper Award of IEEE International Conference on Communications (ICC); in 2013, he has been awarded with the 2013 EURASIP Best Paper Award on Advances in Signal Processing.


T20. Online Learning in Multi-agent Environments - Applications to Communication and Networking

Most practical communication networks operate in dynamic unknown environments, where users have only limited information about what utilities they will obtain when taking different actions. Hence, online learning becomes a key component of any transceiver operating in such communication environments. For example, in multi-hop wireless networks the source nodes need to learn which paths they should select to transmit their traffic with the shortest delays to a destination; in cognitive radio networks secondary users need to learn which channels they should access to obtain higher throughputs; in MAC protocols decentralized agents need to learn to optimally share resources. Numerous of the solutions proposed for such problems in the literature are sub-optimal, since transceivers optimize their decisions myopically, by considering only the impact of their actions on their immediate utility. Optimal decisions in such dynamic communication networks involve making foresighted decisions, where a user is selecting actions to maximize its long-term rather than short-term utility. To perform such foresighted optimization, a user needs to be able to predict/forecast the impact of its actions on the future utilities and network dynamics. However, neither the future utilities nor the network dynamics are known at decision time. Hence, to optimally solve communication problems which involve sequential decision making under uncertainty, novel types of online learning methods are needed. In this tutorial we will introduce several state-of-the-art learning methods (e.g. reinforcement learning techniques including multi-armed bandit learning, conjecture-based learning techniques) which can significantly improve the performance of networks and transceivers operating in dynamic unknown communication environments. We will discuss how to efficiently design learning algorithms for various network environments, quantify their performance and characterize the interactions arising between the users adopting these algorithms. We will present solutions for both single-user as well as multi-user learning. In general, networks where multiple users are learning simultaneously are challenging due to the complex interactions emerging between users. We will discuss the challenges arising from informational asymmetries between the users and explain how to design online learning algorithms that can achieve socially-optimal solutions. We will also show how “context” information can be exploited in decentralized communication systems to achieve coordination and how this problem can be modeled as a decentralized contextual learning problem. Finally, we will illustrate the deployment of these methods to various communication, routing and networking scenarios, and give a comparison of different learning methods.

Instructors: Cem Tekin and Mihaela van der Schaar

Cem Tekin is a Postdoctoral Scholar at University of California, Los Angeles. He received the B.Sc. degree in electrical and electronics engineering from the Middle East Technical University, Ankara, Turkey, in 2008, the M.S.E. degree in electrical engineering: systems, M.S. degree in mathematics, Ph.D. degree in electrical engineering: systems from the University of Michigan, Ann Arbor, in 2010, 2011 and 2013, respectively. His research interests include online learning algorithms, multi-armed bandit problems, multi-agent systems and game theory. He received the University of Michigan Electrical Engineering Departmental Fellowship in 2008, and the Fred W. Ellersick award for the best paper in MILCOM 2009. Moreover, he has extensive experience in teaching graduate classes in probability, learning and game-theory at both University of Michigan, Ann Arbor, and UCLA.

Mihaela van der Schaar is Chancellor Professor of Electrical Engineering at University of California, Los Angeles. Her research interests include network economics and game theory, online learning, dynamic multi-user networking and communication, multimedia processing and systems, real-time stream mining. She is an IEEE Fellow, a Distinguished Lecturer of the Communications Society for 2011-2012, the Editor in Chief of IEEE Transactions on Multimedia and a member of the Editorial Board of the IEEE Journal on Selected Topics in Signal Processing. She received an NSF CAREER Award (2004), the Best Paper Award from IEEE Transactions on Circuits and Systems for Video Technology (2005), the Okawa Foundation Award (2006), the IBM Faculty Award (2005, 2007, 2008), the Most Cited Paper Award from EURASIP: Image Communications Journal (2006), the Gamenets Conference Best Paper Award (2011) and the 2011 IEEE Circuits and Systems Society Darlington Award Best Paper Award. She received three ISO awards for her contributions to the MPEG video compression and streaming international standardization activities, and holds 33 granted US patents. She has extensive experience in giving short courses at IEEE conferences, companies and universities for both professionals and PhD students. She also gave 15+ tutorials at various IEEE conferences starting in 2001.


T21. Vehicular Networking: Standards, Protocols, Applications, and Deployment Plans

Much progress can be observed in the domain of Inter-Vehicular Communication (IVC), looking back at the last decade. In this growing community, many ongoing activities focus on the design on communication protocols to support safety application, intelligent navigation, multi-player gaming and other. Very large projects have been initiated to validate the theoretic work in field tests and protocols are being standardized. With the increasing interest from industry, security and privacy become key aspects in the stage of protocol design in order to support a smooth and carefully planned roll-out. Researchers from academia and industry recently met at an international Dagstuhl seminar to discuss open research challenges as well as open issues related to market-oriented design.
From an industry’s point of view, vehicular networking serves as one of the most important enabling technologies required to implement a myriad of applications related to vehicles, vehicle traffic, drivers, passengers and pedestrians. In this tutorial we will look into applications and use cases of vehicular networking followed by an overview of the standardization activities. Next we will cover the communication protocol design as well as the deployment plans. We will also briefly talk about simulation tools for evaluation of various protocol designs. Before concluding, we will take a glimpse at the recently emerging reality of electric vehicles and issues surrounding them. Finally we will conclude with open issues that require further research.
The tutorial will cover the following aspects:
  • Applications and use cases: selected examples from US, Europe and Japan
  • Requirements of applications ranging from safety to infotainment
  • Deployment plans and field tests around the world
  • System level approaches and a brief comparison: V2V, V2R, V2I
  • Standards: Comparison of IEEE 802.11p/WAVE, ETSI (Europe) and Japan (ARIB) standards
  • Protocol design: A close look at protocol layers including ad-hoc routing, broadcast-based dissemination, geo-routing and delay-tolerant networking
  • Simulation tools: Overview of (integrated) network and traffic simulators

Instructors: Onur Altintas and Falko Dressler

Onur Altintas
is a principal researcher at the R&D Group of Toyota InfoTechnology Center, Co. Ltd, in Tokyo. From 1999 to 2001 he was with Toyota Motor Corporation and from 2001 to 2004 he was with Toyota InfoTechnology Center USA, and was also a visiting researcher at Telcordia Technologies between 1999 and 2004. Before joining Toyota Motor Corporation in 1999, he was a research scientist at Ultra High Speed Network and Computer Technology Labs (UNCL), Tokyo. Dr. Altintas received his B.S. and M.S. degrees from Orta Dogu Teknik University, Ankara, Turkey, and his Ph.D. degree from the University of Tokyo, Japan; all in electrical engineering. He is the co-founder and general co-chair of the IEEE Vehicular Networking Conference (IEEE VNC) held in Tokyo, New Jersey, Amsterdam and Seoul between 2009-2012. He also served as a guest editor for special issues on Vehicular Communications for IEEE Wireless Communications Magazine and EURASIP Journal on Wireless Communications and Networking and as Track Chair of Vehicular Electronics and Telematics (IEEE VTC-Spring). He is an IEEE VTS Distinguished Lecturer.

Falko Dressler is a Full Professor of Computer Science heading the Computer and Communication Systems Group at the Institute of Computer Science, University of Innsbruck. He teaches on self-organizing sensor and actor networks, network security, and communication systems. Dr. Dressler received his M.Sc. and Ph.D. degree from the Dept. of Computer Science, University of Erlangen in 1998 and 2003, respectively. Dr. Dressler is an Editor for journals such as Elsevier Ad Hoc Networks, ACM/Springer Wireless Networks (WINET), and Elsevier Nano Communication Networks. He was guest editor of special issues on self-organization, autonomic networking, and bio-inspired computing and communication for IEEE Journal on Selected Areas in Communications (JSAC), Elsevier Ad Hoc Networks, and others. Besides acting as TPC chair for a number of high-profile conferences and workshops, he regularly acts in the TPC of leading networking conferences such as IEEE INFOCOM, IEEE ICC, IEEE Globecom, and IEEE WCNC. Among other, Dr. Dressler wrote the textbooks Self-Organization in Sensor and Actor Networks, published by Wiley in 2007. Dr. Dressler is an IEEE Distinguished Lecturer in the fields of inter-vehicular communication, self-organization, and bio-inspired networking. Dr. Dressler is a Senior Member of the IEEE (COMSOC, CS, VTS) as well as a Senior Member of ACM (SIGMOBILE).

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