15th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks, Telecom ParisTech, Paris, France, 15th - 19th May, 2017
Eduard Jorswieck, TU Dresden (Germany)
Monotonic and Sequential Fractional Programming for Performance Optimization in Interference Networks
Resource allocation in interference networks is a timeless and important challenge. In future generations of mobile networks, heterogeneous and conflicting performance criteria are introduced leading to multi-objective programming problems. When efficiency is optimized often fractional programming - a well established technique - can be applied. However, in interference networks, the fractional objective functions are in general not suitable for fractional programming. In this invited talk, the combination of fractional programming with monotonic optimization (to achieve global optimality with high complexity) and with sequential convex programming (to achieve local optimality with lower complexity) are proposed. Their applications are illustrated with distributed and centralized power control in 5G and beyond.
Eduard Axel Jorswieck is Professor for Communications Theory at TU Dresden, Germany. His main research interests are in the area of signal processing for communications and networks, applied information theory, and communications theory. He is PI in the excellence cluster cfAED, the CRC HAEC and founding member of the 5G Lab Germany. He serves as Editor-in-Chief for the EURASIP Journal on Wireless Communications and Networking, and on the editorial boards of IEEE TIFS and IEEE TWC. He received the IEEE Signal Processing Society Best Paper Award.
Eduard Jorswieck will give his talk on Tuesday, May 16, at 12:30 in Amphi Thévenin.
Samson Lasaulce, Paris-Saclay University / CNRS (France)
Coded Power Control
In this talk, we explain how the new idea of agent action encoding can be used to create coordination in distributed wireless networks. In particular, the concept of power modulation and a particular scheme to implement it are presented; the scheme beats classical distributed power allocation schemes such as the iterative water-filling algorithm while relying on the same knowledge. More generally, the concept of coded power control consists in embedding coordination information (e.g., about the channel state) in a sequence of transmit power levels. It is shown how information theory can be exploited to determine the limiting performance of coded power control. The framework developed applies in fact to the general problem of characterizing the limiting performance of a network with multiple agents who have partial information.
Samson Lasaulce will give his talk on Thursday, May 18, at 10:30 in Amphi Thévenin.
Michèle Wigger, LTCI, Telecom ParisTech, University Paris-Saclay (France)
Additional Coding Opportunities in Cache-Aided Networks
In recent years, significant progress has been made on determining the fundamental limits of cache-aided networks. This talk will present some of these new information-theoretic results.
The main focus will be on new coding opportunities that arise in cache-aided networks. As we will see, such opportunities arise in particular in heterogenous networks where some receivers are inherently weaker than others or when the communication needs to be kept secret.
Michèle Wigger received the M.Sc. degree in electrical engineering, with distinction, and the Ph.D. degree in electrical engineering both from ETH Zurich in 2003 and 2008, respectively. She was awarded two ETH Medals, one for her Master Thesis and one for her PhD Thesis. Dr. Wigger received a Swiss National Science Foundation Scholarship for Prospective Researchers, and in 2009 was a post-doctoral fellow at the University of California, San Diego, USA. She did a second post-doctoral stint at ETH Zurich and has held visiting professor appointments at the Technion – Israel Institute of Technology and ETH Zurich, funded by an IDEA League Scholarship. She joined Telecom Paris Tech, Paris France in 2009 and is currently an Associate Professor.
Dr. Wigger is a member of the Board of Governors of the IEEE Information Theory Society, as well as an associate editor for the IEEE Transactions on Information Theory. From 2012–2016 she has been associate editor for the IEEE Communications Letters. Dr. Wigger has served as a TPC member for numerous conferences in information theory and communications (e.g., ISIT 2012-2017; ITW 2015 and 2017; PIMRC 2013-2015). Funding accomplishments include an Emergences Grant from the city of Paris, a Discruptive-ICT grant from Huawei, and an ERC Starting Grant.
Michèle Wigger will give her talk on Wednesday, May 17, at 14:30 in Amphi Thévenin.
Angela Zhang, The Chinese University of Hong Kong
Randomized Gaussian Message Passing for Scalable PHY Layer of C-RAN
With centralized processing, cooperative radio, real-time cloud computing, and clean infrastructure, Cloud Radio Access Network (CRAN) is a “future proof” solution to sustain the mobile data explosion in future wireless networks. The technology holds great potential in enhancing future wireless systems with necessary capability to accommodate unprecedented traffic demand. However, cloud wireless systems inevitably encounter scalability issues in terms of computational and implementation complexities. This talk discusses the challenges and recent developments in technologies that potentially address the scalability issues of CRANs. In particular, I will focus on a randomized Gaussian message passing algorithm to achieve perfect scalability and convergence in the PHY layer of CRANs.
Angela Zhang will give her talk on Thursday, May 18, at 16:15 in Amphi Thévenin.