2011 Poster Sessions : New Coding Schemes for Deterministic Interference Channels

Student Name : Bernd Bandemer
Advisor : Abbas El Gamal
Research Areas: Information Systems
The interference channel is an information-theoretic model for a wireless communication system with several transmitters and receivers sharing the same radio spectrum. In this work, we approach the optimal data rate trade-off of a deterministic interference channel with three user pairs via two avenues. First, assuming very simple transmitters, we focus on optimizing the receiver side of the links. We show that an improved rate region can be achieved by decoding the combined interference signal instead of individual interferer's messages. Second, we consider the opposite perspective by varying the transmitter strategies in order to cause the least harm at the receivers. We study this disturbance-constrained communication problem in isolation first and then transfer the resulting coding schemes to the original setting.

Bernd Bandemer is a Ph.D. candidate in Electrical Engineering at Stanford University, where his research is in information theory and wireless communications. He is particularly interested in deterministic interference channels as a tool to understand the role of interference in communications fundamentally. Prior to joining Stanford University in 2006, he received his Dipl.-Ing. degree in Computer Engineering (Ingenieurinformatik) in 2006 from Ilmenau University of Technology, Ilmenau, Germany. In 2003/04, he was awarded a Fulbright scholarship to study at Purdue University, West Lafayette, Indiana. His experience in industry includes working as research intern at Intel Cooperation (Santa Clara, California), at Nokia Research Center (Helsinki, Finland), and at the German Aerospace Center (Munich, Germany).