Announcing our Keynote Speakers We're very excited to announce our keynote speaker lineup for the Twelfth International Symposium on Wireless Communication Systems!

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Massive MIMO: Myths and Realities

Prof. Erik G. Larsson

Linkoping University, Sweden 

Abstract: The exponential growth rate in wireless traffic has been sustained for over a century (this is known as Cooper's law). This trend will continue and perhaps even accelerate, due to new applications such as augmented reality and internet-of-things. Massive MIMO is a key technology for providing orders of magnitude more data traffic. Despite the attention it is receiving, Massive MIMO is also subject to widespread misunderstanding. This talk will provide an overview over Massive MIMO technology, and address some of the most common misconceptions about it. 

Bio: Erik G. Larsson is Professor and Head of the Division for Communication Systems in the Department of Electrical Engineering (ISY) at Linkoping University (LiU) in Linkoping, Sweden. He joined LiU in September 2007. He has previously held positions at the Royal Institute of Technology (KTH) in Stockholm, University of Florida, George Washington University (USA), and Ericsson Research (Stockholm). He received his Ph.D. from Uppsala University in 2002. His main professional interests are within the areas of wireless communications and signal processing. He has published some 100 journal papers on these topics, he is co-author of the textbook Space-Time Block Coding for Wireless Communications (Cambridge Univ. Press, 2003) and he holds 12 issued and many pending patents on wireless technology. 

He has been Associate Editor for several journals, including the IEEE Trans. Communications and IEEE Trans. Signal Processing. He serves as vice-chair of the IEEE Signal Processing Society SPCOM technical committee in 2014. He also serves as chair of the steering committee for the IEEE Wireless Communications Letters in 2014-2015. He is active in conference organization, most recently as the General Chair of the Asilomar Conference on Signals, Systems and Computers 2015.   He received the IEEE Signal Processing Magazine Best Column Award 2012.  

 

 

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Online Stochastic Optimization with Partial Feedback and Applications to Resource Allocation in Wireless Networks

Prof. Alexandre Proutiere

KTH/EES, Sweden 

Abstract: In this talk, we present a generic method for online stochastic optimization under partial feedback, and discuss its application to the design of resource allocation algorithms for radio communication networks. More precisely, we are interested in wireless systems where collecting full CSI information and maintaining precise estimates of channel conditions between each pair of antennas is too costly. Example of such systems include 802.11 networks and large MIMO cellular systems. We demonstrate how our optimization framework can be applied to these systems, and in turn, devise protocols (rate adaptation, pre-coding, power allocation, frequency band selections, scheduling, …) that are provably optimal. This contrasts with the current way partial CSI feedback is handled in existing systems or as proposed in the literature, where the  design in these protocols is based on heuristics.

BioAlexandre Proutiere graduated in Mathematics from Ecole Normale Superieure (Paris), and got an engineering degree from Ecole Nationale Superieure des Telecoms (Paris). He is an engineer from Corps of Mines, and received his PhD in Applied Mathematics from Ecole Polytechnique, Palaiseau, France in 2003. He joined France Telecom R&D in 2000 as a research engineer. From 2007 to 2011, he held a researcher position at Microsoft Research in Cambridge (UK). He is now Associate Professor in Automatic Control at KTH, Sweden. Alexandre was the recipient in 2009 of the ACM Sigmetrics rising star award, and received the best paper awards at ACM Sigmetrics conference in 2004 and 2010, and at the ACM Mobihoc conference in 2009. He was an associate editor of IEEE Transactions on Networking, and is currently editor of IEEE Transactions on Control of Network Systems and of Queuing Systems. 

 

 

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Wireless Networks, Information Theory and Stochastic Geometry

Prof. François Baccelli

UT Austin, USA

Abstract: Stochastic geometry provides a natural way of averaging out the quantitative characteristics of any network information theoretic channel over all potential geometrical patterns or channel gains present in e.g. a stationary Poisson point process. The talk will survey recent scaling laws obtained by this approach on several network information theoretic channels, when the density of the point process tends to infinity. This approach allows one to predict the asymptotic behavior of spectral efficiency in large wireless networks under densification assumptions.

 

Bio: François Baccelli is Simons Math+X Chair in Mathematics and ECE at UT Austin.  His research directions are at the interface between Applied Mathematics (probability theory, stochastic geometry, dynamical systems) and Communications (network science, information theory, wireless networks). He is co-author of research monographs on point processes and queues (with P. Brémaud); max plus algebras and network dynamics (with G. Cohen, G. Olsder and J.P. Quadrat); stationary queuing networks (with P. Brémaud); stochastic geometry and wireless networks (with B. Blaszczyszyn). Before joining UT Austin, he held positions at INRIA, Ecole Normale Supérieure and Ecole Polytechnique. He received the France Télécom Prize of the French Academy of Sciences in 2002 and the ACM Sigmetrics Achievement Award in 2014. He is a co-recipient of the 2014 Stephen O. Rice Prize and of the Leonard G. Abraham Prize Awards of the IEEE Communications Theory Society for his work on wireless stochastic geometry. He is a member of the French Academy of Sciences and part time researcher at INRIA. 

 

 

 

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Satellite Communication Networks - Future Challenges

 

Prof. Björn Ottersten 

University of Luxembourg

Abstract: Satellite communications provides an unprecedented coverage at low cost. However, satellite networks as a means of content delivery are meeting increased competition from terrestrial communication systems. Future satellite systems must provide cost efficient  and scalable services, for example, multimedia delivery, mobile communication services, two-way data communications, and backhaul. The efficient and reliable delivery of these services poses several challenges. We discuss some technical trends that are changing the design of satellite communication networks fundamentally.  With lessons learned from terrestrial communication networks, we highlight techniques that can be used to address some challenges facing satellite systems, including diversity techniques, interference mitigation, multi-user precoding, resource management, onboard processing, and cognitive satellite communications.

 

Bio: Björn Ottersten was born in Stockholm, Sweden, 1961. He received the M.S. degree in electrical engineering and applied physics from Linköping University, Linköping, Sweden, in 1986. In 1989 he received the Ph.D. degree in electrical engineering from Stanford University, Stanford, CA. Dr. Ottersten has held research positions at the Department of Electrical Engineering, Linköping University, the Information Systems Laboratory, Stanford University, the Katholieke Universiteit Leuven, Leuven, and the University of Luxembourg. During 96/97 Dr. Ottersten was Director of Research at ArrayComm Inc, a start-up in San Jose, California based on Ottersten’s patented technology. He has co-authored journal papers that received the IEEE Signal Processing Society Best Paper Award in 1993, 2001, 2006, and 2013 and 3 IEEE conference papers receiving Best Paper Awards. In 1991 he was appointed Professor of Signal Processing at the Royal Institute of Technology (KTH), Stockholm. From 1992 to 2004 he was head of the department for Signals, Sensors, and Systems at KTH and from 2004 to 2008 he was dean of the School of Electrical Engineering at KTH. Currently, Dr. Ottersten is Director for the Interdisciplinary Centre for Security, Reliability and Trust at the University of Luxembourg. Dr. Ottersten is a board member of the Swedish Research Council and as Digital Champion of Luxembourg, he acts as an adviser to the European Commission. Dr. Ottersten has served as Associate Editor for the IEEE Transactions on Signal Processing and on the editorial board of IEEE Signal Processing Magazine. He is currently editor in chief of EURASIP Signal Processing Journal and a member of the editorial boards of EURASIP Journal of Applied Signal Processing and Foundations and Trends in Signal Processing. Dr. Ottersten is a Fellow of the IEEE and EURASIP and a member of the IEEE Signal Processing Society Board of Governors. In 2011 he received the IEEE Signal Processing Society Technical Achievement Award. He is a first recipient of the European Research Council advanced research grant. His research interests include security and trust, reliable wireless communications, and statistical signal processing.

 

 

 

 

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Cooperating Devices in Decentralized Wireless Networks

 

Prof. David Gesbert

EURECOM, France

Abstract: Future wireless networks face serious challenges related to  the ever growing popularity of mobile applications and the increasing diversity of connected objects.  Two fundamental  approaches, namely  network-centric cloud-based solutions and device-centric solutions, offer conflicting design philosophies to respond to the challenge. From a decisional and optimisation persepective, device-centric designs rely on the device's own local intelligence and data gathering to help improve  overall network performance. The concept of device cooperation is instrumental to enabling a form of collective intelligence arising from the devices themselves. Device cooperation can aim at  a number of goals such as interference management, spectrum allocation, coordinated multipoint transmissions, feedback design, etc. When the communications between the devices is itself (rate or delay) limited, the devices can at best reach robust yet suboptimal decisions that operate on the basis of partially local and partially shared information about the system state (e.g. channel state).  Clearly, there is an interesting trade-off  between coordination and information exchange. We make connections between the development of such robust decentralized coordination methods and the intriguing mathematical field of team decision theory and present several open problems and application in this area, at the cross-roads between signal processing, information theory and control.

 

Bio: David Gesbert (IEEE Fellow) is Professor and Head of the Mobile Communications Department, EURECOM, France, where he also heads the Communications Theory Group. He obtained the Ph.D degree from Ecole Nationale Superieure des Telecommunications, France, in 1997. From 1997 to 1999 he has been with the Information Systems Laboratory, Stanford University. In 1999, he was a founding engineer of Iospan Wireless Inc, San Jose, Ca.,a startup company pioneering MIMO-OFDM (now Intel). Between 2001 and 2003 he has been with the Department of Informatics, University of Oslo. D. Gesbert has published about 230 papers (five of which won paper awards), several patents and guest edited 7 special issues all in the area of signal processing, communications, and wireless networks.  He co-authored the book “Space time wireless communications: From parameter estimation to MIMO systems”, Cambridge Press, 2006.  He is currently working towards the organization of for IEEE ICC 2017, to be held in Paris, as a Technical Program co-Chair . In 2014, he was named in the Thomson-Reuters List of Highly Cited Researchers in Computer Science.

 

 

 

 

ScrapInformation-Theoretic Limits of Caching

Prof. Michael C. Gastpar

EPFL, Switzerland [link]

Abstract: Caching is a promising technique for dealing with increasing demands on communication networks. In this talk, we present an information-theoretic perspective on (optimally coded) caching. We discuss the resulting architectural insights concerning optimal caching strategies, and outline several open problems.

Bio: Michael Gastpar is a Professor at EPFL. He received his Dipl. El.-Ing. degree from ETH Zurich, his MS from the University of Illinois at Urbana-Champaign, and his Dr. es sc. from EPFL. He held professor positions at the University of California, Berkeley, and at TU Delft. His research interests are in network information theory and related coding and signal processing techniques, with applications to sensor networks and neuroscience. He received the IEEE Communications Society and Information Theory Society Joint Paper Award in 2013. 

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