Romain Couillet
Assistant Professor at Supélec
Supélec,
3 rue Joliot Curie,
91192 Gif sur Yvette
France
Tel: (+33) 169 851 535
E-mail: romain.couillet@supelec.fr
Biography
Romain Couillet received his MSc in Mobile Communications at the Eurecom Institute and his MSc in Communication Systems in Telecom ParisTech, France in 2007. From 2007 to 2010, he worked with ST-Ericsson as an Algorithm Development Engineer on the Long Term Evolution Advanced project, where he prepared his PhD with Supelec, France, which he graduated in November 2010. He is currently an assistant professor in the EDF Chair "Systems Science and the Energetic Challenge'' in Supelec and Centrale Paris, France. His research topics are in information theory, signal processing, complex systems and random matrix theory. He is the recipient of the Valuetools 2008 best student paper award and of the 2011 EEA/GdR ISIS/GRETSI best PhD thesis award.
Research Interests
- Information theory, signal processing, wireless communications, smart grids.
- Random matrix theory, stochastic approximation, mean field games.
News
Romain Couillet and Mérouane Debbah, Random Matrix Methods for Wireless Communications, Cambridge University Press, Sept. 2011. [outline|order]
Blending theoretical results with practical applications, this book provides an introduction to random matrix theory and shows how it can be used to tackle a variety of problems in wireless communications. The Stieltjes transform method, free probability theory, combinatoric approaches, deterministic equivalents and spectral analysis methods for statistical inference are all covered from a unique engineering perspective. Detailed mathematical derivations are presented throughout, with thorough explanation of the key results and all fundamental lemmas required for the reader to derive similar calculus on their own. These core theoretical concepts are then applied to a wide range of real-world problems in signal processing and wireless communications, including performance analysis of CDMA, MIMO and multi-cell networks, as well as signal detection and estimation in cognitive radio networks. The rigorous yet intuitive style helps demonstrate to students and researchers alike how to choose the correct approach for obtaining mathematically accurate results.
I gave a talk with title "Large Dimensional Stochastic System Analysis for the Smart Grid" in Supelec on July 5th, 2pm. The abstract is given below:
The future of electricity generation, distribution and consumption is characterized by the increasing size of the power network, the increasing stochasticity of the main actors, and the unbundling of the electricity market. These trends call for the development of new tools to understand and apprehend various aspects of the smart grids from the physical layer to the economic layer. In this talk, we will introduce a set of three tools (random matrix theory, mean field games, and decentralized stochastic optimization), which are at the core of recent trends in various research fields in large stochastic system analysis. Application examples of these tools in smart grids are discussed and recent results are introduced. [slides]