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9 sept. 2014

Fundamental limits of cooperative interference networks

September 9th, 2014 14h30 Sup-Elec, Amphi F3-05

Daniela TUNINETTI, CR CNRS, leader of the emergence project " IndexCod", Labex Digicosme a donné un séminaire sur les réseaux d’interférence coopératives le 9 septembre 2014 à 14h30 à l’amphi F3-05 de Supélec, Gif sur Yvette.

The bottleneck of today’s wireless networks is interference. The solution of commercial available networks is to avoid interference through division of resources (such as time, spectrum, space, waveform, etc.) among the competing users. This approach results in simple network architectures. It is also a theoretically optimal solution in the up-link and down-link of single-cell cellular systems with single antenna nodes in presence of fading when throughput maximization is the design goal. Perfect orthogonalization of users is however not possible in practice, in which case the residual interference is usually treated it as noise. ;It has become apparent however that interference avoidance and treating interference as noise are highly suboptimal in interference networks.Retour ligne automatique
For example, when the power imbalance between the useful signal and the interfering signal at a destination is large enough, a receiver can first decode the interfering signal by treating its own signal as noise, and then decode its signal as in an interference-free channel. Retour ligne automatique
More generally, it is possible to consolidate the aggregate interference into roughly half of the receiver available degrees of freedom and thus each user achieves half the rate it would get if it were alone on the network, irrespectively of the number of interferers. Moreover, node cooperation further improve on the overall network interference management problem. With these observations in mind, much progress has been made recently in understanding the ultimate performance limits of interference networks.

PNG - 197.8 ko

BIO :


Daniela Tuninetti received her M.S. in Telecommunication Engineering from Politecnico di Torino (Italy) in 1998, and her Ph.D. in Electrical Engineering from ENST/Telecom ParisTech (with work done at the Eurecom Institute in Sophia Antipolis, France) in 2002. From 2002 to 2004 she was a postdoctoral research associate at the School of Communication and Computer Science at the EPFL/Swiss Federal Institute of Technology in Lausanne. Since January 2005, she is with the Department of Electrical and Computer Engineering at the University of Illinois at Chicago, Chicago, IL USA, where she currently is an Associate Professor. Since January 2014 she is a member of the CNRS L2S lab.
Dr. Tuninetti was the editor-in-chief of the IEEE Information Theory Society Newsletter from 2006 to 2008, and an associate editor for the IEEE COMMUNICATION LETTERS from 2006 to 2009. She currently serves as an editor for the IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS. She regularly serves on the Technical Program Committee of IEEE workshops and conferences, and she was the Communication Theory symposium co-chair of the 2010 IEEE International Conference on Communications (ICC 2010). Dr. Tuninetti received a best student paper award at the European Wireless Conference in 2002, and was the recipient of an NSF CAREER award in 2007. Her research interests are in the ultimate performance limits of wireless interference networks, with special emphasis on cognition and user cooperation.

This talk summarizes the last decade of information theoretic studies on cooperative interference networks. We will start by describing commonly adopted cooperation models (in-band vs. out-of-band, noisy vs. rate limited noiseless links, generalized feedback, causal vs. cognitive, etc.) and then recap the fundamental lessons learnt from exact and approximate capacity results available in the literature. An overview of current challenges and open problems will conclude the talk.

This work was supported by NSF. Part of this work has been done in collaboration with Dr. Echo Yang, Dr. Stefano Rini, Martina Cardone, Alex Dytso, and Dr. Natasha Devroye.

Daniela TUNINETTI
CR CNRS, Leader of the emergence project " IndexCod", Labex Digicosme