Second International Balkan Conference on Communications and Networking
Podgorica, Montenegro, June 6-8,2018
Second International Balkan Conference on Communications and Networking
Podgorica, Montenegro, June 6-8,2018
Closing the Digital Gap
Keynote Speakers
Wireless AI: Challenges and Opportunities
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Merouane Debbah Director, Mathematical and Algorithmic Sciences Lab, Huawei |
Abstract
Mobile cellular networks are becoming increasingly complex to manage while classical deployment/optimization techniques are cost-ineffective and thus seen as stopgaps. This is all the more difficult considering the extreme constraints of 5G networks in terms of data rate (more than 10 Gb/s), massive connectivity (more than 1000000 devices per km2), latency (under 1ms) and energy efficiency (a reduction by a factor of 100 with respect to 4G network). Unfortunately, the development of adequate solutions is severely limited by the scarcity of the actual ressources (energy, bandwidth and space). Recently, the community has turned to a new resource known as Artificial Intelligence at all layers of the network to exploit the increasing computing power afforded by the improvement in Moore's law in combination with the availability of huge data in 5G networks. This is an important paradigm shift which considers the increasing data flood/huge number of nodes as an opportunity rather than a curse. In this talk, we will discuss through various examples how the recent advances in big data algorithms can provide an efficient framework for the design of Intelligent Networks.
Short Biography
Merouane Debbah entered the Ecole Normale Superieure Paris-Saclay (France) in 1996 where he received his M.Sc and Ph.D. degrees respectively. He worked for Motorola Labs (Saclay, France) from 1999-2002 and the Vienna Research Center for Telecommunications (Vienna, Austria) until 2003. From 2003 to 2007, he joined the Mobile Communications department of the Institut Eurecom (Sophia Antipolis, France) as an Assistant Professor. Since 2007, he is a Full Professor at CentraleSupelec (Gif-sur-Yvette, France). From 2007 to 2014, he was the director of the Alcatel-Lucent Chair on Flexible Radio. Since 2014, he is Vice-President of the Huawei France R&D center and director of the Mathematical and Algorithmic Sciences Lab. His research interests lie in fundamental mathematics, algorithms, statistics, information & communication sciences research. He is an Associate Editor in Chief of the journal Random Matrix: Theory and Applications and was an associate and senior area editor for IEEE Transactions on Signal Processing respectively in 2011-2013 and 2013-2014. Mérouane Debbah is a recipient of the ERC grant MORE (Advanced Mathematical Tools for Complex Network Engineering). He is a IEEE Fellow, a WWRF Fellow and a member of the academic senate of Paris-Saclay. He has managed 8 EU projects and more than 24 national and international projects. He received 17 best paper awards, among which the 2007 IEEE GLOBECOM best paper award, the Wi-Opt 2009 best paper award, the 2010 Newcom++ best paper award, the WUN CogCom Best Paper 2012 and 2013 Award, the 2014 WCNC best paper award, the 2015 ICC best paper award, the 2015 IEEE Communications Society Leonard G. Abraham Prize, the 2015 IEEE Communications Society Fred W. Ellersick Prize, the 2016 IEEE Communications Society Best Tutorial paper award, the 2016 European Wireless Best Paper Award and the 2017 Eurasip Best Paper Award as well as the Valuetools 2007, Valuetools 2008, CrownCom2009, Valuetools 2012 and SAM 2014 best student paper awards. He is the recipient of the Mario Boella award in 2005, the IEEE Glavieux Prize Award in 2011 and the Qualcomm Innovation Prize Award in 2012.
Age of Information as a Fidelity Criterion
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Emre Telatar |
Abstract
Age of Information is a metric that measures how fresh the information about a source process is at the destination. I will attempt an introduction to the queing theoretic implications of considering age instead of delay as a performance measure, followed by some preliminary information theoretic conclusion for a rate-distortion setup where the distortion measure is age.
Short Biography
Emre Telatar received the B.Sc. degree in electrical engineering from the Middle East Technical University, Ankara, Turkey, in 1986. He received the S.M. and Ph.D. degrees in electrical engineering and computer science from the Massachusetts Institute of Technology, Cambridge, in 1988 and 1992 respectively. In 1992, he joined the Communications Analysis Research Department at AT&T Bell Laboratories (later Lucent Technologies), Murray Hill, NJ. He has been at the EPFL since 2000.
Emre Telatar was the recipient of the IEEE Information Theory Society Paper Award in 2001. He was a program co-chair for the IEEE International Symposium on Information Theory in 2002, and associate editor for Shannon Theory for the IEEE Information Theory Transactions from 2001 to 2004. He was awarded the EPFL Agepoly teaching prize in 2005.
Emre Telatar's research interests are in communication and information
theories.
Toward Fully Programmable Wireless Networks
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Tommaso Melodia Professor, Northeastern University, Boston, MA, USA |
Abstract
This talk will present an overview of our work on laying the basic
design principles for radically
new approaches to software-defined networking (SDN) and programmability for
next-generation wireless networks.
First, we will introduce the building principles of our Wireless
Network Operating System (WNOS).
Departing from classical SDN approaches, WNOS provides the network
designer with an abstraction hiding (i) the
lower-level details of the wireless protocol stack and (ii) the
distributed nature of the network operations. Based on this abstract
representation, the WNOS takes network control programs written on a
centralized, high-level view of the network and automatically
generates distributed cross-layer control programs based on
distributed optimization theory that are executed by each individual
node on an abstract representation of the radio hardware.
We will illustrate a prototype implementation of WNOS on
software-defined radio devices and test its effectiveness by
considering specific cross-layer control problems, and illustrate how
the global network behavior
can be controlled by modifying a few lines of code on a centralized
abstraction.
Then, we will discuss ongoing work within the PAWR Project Office to develop
fully programmable city-scale platforms for advanced wireless research,
which will enable for the first time at-scale, reproducible, and
rigorous experimentation
with next-generation wireless systems. We will discuss the core
principles of the PAWR
program and discuss the characteristics of the first two PAWR
platforms; we will also outline future
goals of the program as well as its expected impact on the wireless
research community.
Short Biography
Tommaso Melodia is an Associate Professor with the Department of Electrical and Computer Engineering at Northeastern University, where he directs the Wireless Networks and Embedded Systems Laboratory. He received his Ph.D. in Electrical and Computer Engineering from the Georgia Institute of Technology in 2007. He is an IEEE Fellow, received a National Science Foundation CAREER award, and coauthored a paper that was recognized as the "Fast Breaking Paper in the field of Computer Scienc" by Thomson ISI Essential Science Indicators and a paper that received the "Elsevier Top Cited Paper Award". He also received the 2018 Northeastern College of Engineering Soren Buus Outstanding Research Award. He is the Director of Research for the PAWR Project Office, a $100M public-private partnership to build 4 city-scale platforms for wireless research that will transform the US wireless ecosystem in years to come. His research interests are in modeling, optimization, and experimental evaluation of wireless networked systems, with applications to Internet of Things, next-generation cellular networks, secure communications, underwater networks, body area networks.
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