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Interference Channel Games
| What |
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|---|---|
| When |
Nov 10, 2008 from 01:00 PM to 02:00 PM |
| Where | 54-134 EIV |
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Randall Berry
Northwestern University
Monday, November 10, 2008 at 1:00PM
54-134 Engineering IV Building
Refreshments Served
Abstract: In wireless networks a key consideration is how to
mitigate interference among multiple users in a given spectrum band.
This is especially true in unlicensed or open bands, where users may be
deployed without any centralized frequency planning or control. In this
talk, we describe some game theoretic approaches for sharing a given
spectrum band, modeled as an interference channel. We initially consider
approaches where interference is treated as noise and discuss an
approach where the users exchange "interference prices" to convey to
neighboring transmitters the "cost" of interference. In certain cases,
this algorithm can be related to a supermodular game, which is useful
for characterizing its performance. Extensions to OFDM systems and MIMO
systems will also be discussed. Next, we discuss an information
theoretic approach, where all interference is not treated as noise. For
this setting, we provide a game theoretic model and show that this game
always has an equilibrium which is sum-rate optimal.
Parts of this talk are joint work with Michael Honig, Jianwei Huang, Changxin Shi, and David Tse.
Biography: Randall Berry received the B.S.degree in Electrical
Engineering from the University of Missouri-Rolla in 1993 and the M.S.
and PhD degrees in Electrical Engineering and Computer Science from the
Massachusetts Institute of Technology in 1996 and 2000 respectively. He
is currently an associate professor in the Department of Electrical
Engineering and Computer Science at Northwestern University. During the
summer of 2000 he was a postdoctoral associate in the
Laboratory for Information and Decision Systems at MIT. In 1998 he was
on the technical staff at MIT Lincoln Laboratory in the Advanced
Networks Group. His primary research interests include wireless
communication, data networks, and information theory. He is the
recipient of a 2003 NSF CAREER award and the Best Teacher award for the
2001/2002 academic year from the ECE Department at Northwestern
University.
