Infotech Oulu Lecture Series

Power and beam optimization in interference networks

Lecturer: Professor Michael L. Honig, Northwestern University, USA

Date: Tuesday, June 25, 2013
Time: 10:15-11:00
Room: TS128

Abstract

We consider the problem of optimizing powers, spatial beams, and receivers in interference networks. The emphasis is on distributed, iterative schemes in which each transmitter updates its power and/or beam autonomously based on local information. We first present algorithms for optimizing single beams with Multi-Input Multi-Output channels, namely, forward-backward optimization (Max-SINR), Minimum Mean Squared Error updates, and interference pricing with best response updates. Numerical results show that these methods achieve the maximum degrees of freedom (high-SNR slope), which requires interference alignment. We then present adaptive bi-directional training methods for directly updating filters, beams, and powers with unknown channel state information. Extensions to nonlinear receivers and precoders in cellular systems will also be presented.

Speaker

Michael L. Honig is a Professor in the Department of Electrical Engineering and Computer Science at Northwestern University. Prior to joining Northwestern he worked in the Systems Principles Research Division at Bellcore in Morristown, NJ, and at Bell Laboratories in Holmdel, NJ. His recent research has focused on wireless networks, including interference mitigation and resource allocation, and market mechanisms for dynamic spectrum allocation. He received the B.S. degree in electrical engineering from Stanford University in 1977, and the Ph.D. degrees in electrical engineering from the University of California, Berkeley, in 1981. He has held visiting scholar positions at the Naval Research Laboratory (San Diego), the University of California, Berkeley, the University of Sydney, Princeton University, and the Technical University of Munich. Dr. Honig has served as editor and guest editor for several journals, and as a member of the of the Board of Governors for the IEEE Information Theory Society. He is a Fellow of IEEE, the recipient of a Humboldt Research Award for Senior U.S. Scientists, and the co-recipient of the 2002 IEEE Communications Society and Information Theory Society Joint Paper Award and the 2010 IEEE Marconi Prize Paper Award.

More information: Markku Juntti