A DECISION THEORETIC FRAMEWORK FOR REAL-TIME COMMUNICATION

Speaker: Dr. Demosthenis Teneketzis, University of Michigan
Abstract: The output of a discrete-time Markov source must be encoded into a sequence of discrete variables. The encoded sequence is transmitted through a noisy channel to a finite-memory receiver that must attempt to reproduce reliably the source sequence. Encoding and decoding must be done in real-time and the distortion measure does not tolerate delays. First we determine the structure of real-time encoding and decoding strategies that jointly minimize an average distortion measure over a finite horizon. Then, based on the structure of optimal real-time encoders and decoders, we describe a methodology for determining jointly optimal real-time encoding, decoding and memory update strategies for point-to- point communication systems.
Biography: Demosthenis Teneketzis is Professor of Electrical Engineering and Computer Science at the University of Michigan, Ann Arbor, MI. In winter and spring of 1992 he was Visiting Professor at the Swiss Federal Institute of Technology, (ETH), Zurich, Switzerland. Prior to joining the University of Michigan he worked for Systems Control Inc., Palo Alto, California, and Alphatech Inc., Burlington, Massachusetts. He received his diploma in Electrical Engineering from the University of Patras, Patras, Greece, and his M.S., EE., and Ph.D degrees, all in Electrical Engineering, from the Massachusetts Institute of Technology, Cambridge, Massachusetts. His research interests are in stochastic control, informationally decentralized systems, queueing and communication networks, stochastic scheduling and resource allocation problems, mathematical economics, and discrete event systems. He is a Fellow IEEE.
Presented On: Friday, October 28, 2005
Videotape: Teneketzis.mov