As wired and wire-line communication networks migrate to more open models (e.g.~open spectrum access), it is becoming increasingly important to understand the interaction of different users, who may not have an incentive to cooperate with each other. Such questions are naturally studied using game theory. Here, we consider a canonical example of such a problem, namely a game among users sharing a Gaussian interference channel. Previous work on such "interference games" places restrictions on the encoding and decoding strategies of the users and thus are not truly information theoretic in nature. In this talk we discuss a general formulation for interference games that allows users to employ any encoding and decoding strategy. We discuss the solution of these games for the two-user linear deterministic interference channel and then partially extend these results to Gaussian interference channels.
  This is joint work with David Tse at Berkeley.

  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. Since 2000, he has been with Northwestern University, where he is currently an Associate Professor of Electrical Engineering and Computer Science. In 1998, he was on the technical staff at MIT Lincoln Laboratory in the Advanced Networks Group. Dr. Berry has served as an Editor for the IEEE Transactions on Wireless Communications from 2006-2009 and is currently an Associate Editor for the IEEE Transactions on Information Theory. He is the recipient of a 2003 NSF CAREER award.