Information Theory for Interference Channels

Interference affects many types of communication channels including digital subscriber lines and wireless links. A basic model for studying coding for such scenarios is known as the interference channel (IC). Several of the fundamental results known about ICs are reviewed with special emphasis on Gaussian channels. We further discuss several recent results including an "improvement" of astandard achievable rate region.

Bio:

Gerhard Kramer received the B.Sc. and M.Sc. degrees in electrical engineering from the University of Manitoba, Winnipeg, MB, Canada, in 1991 and 1992, respectively, and the Dr. sc. techn. (Doktor der Technischen Wissenschaften) degree from the Swiss Federal Institute of Technology (ETH), Zurich, Switzerland, in 1998.

From July 1998 to March 2000, he was with Endora Tech AG, Basel, Switzerland, as a communications engineering consultant. Since May 2000 he has been with the Communications and Statistical Sciences Department (formerly the Mathematics of Communications Research Department), Bell Laboratories, Lucent Technologies, Murray Hill, NJ, USA. His research has been focused on information theory, communications theory, iterative decoding, and source coding.