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Title : Markov Processes, Queueing Models, and Their Application to Delay-sensitive Wireless Communication Systems
Date : Sep 3, 2007
Speaker : Jean-Francois Chamberland, Assistant Professor
Affiliation : Department of Electrical and Computer Engineering, Texas A&M University
Abstract
Wireless systems offer a unique mixture of connectivity, flexibility, and freedom. It is therefore not surprising that wireless technology is being embraced with increasing vigor. For real-time applications, user satisfaction is closely linked to quantities such as queue- length, packet loss probability, and delay. System performance is therefore not only related to Shannon capacity, but also to these quality of service parameters. This presentation addresses the problem of resource allocation in the context of delay-sensitive communications. The joint impact of spectral bandwidth, power, and code-rate is considered. An emphasis will be put on how traditional tools from Industrial Engineering such as queueing theory, fluid models, and Markov processes can be leveraged to derive meaningful design guidelines. We will also discuss how the proposed approach deviates from traditional communication theory. Fundamental performance limits for Markov wireless channel models will be identified.
Biosketch
Jean-Francois Chamberland received the Ph.D. degree in 2004 from the University of Illinois at Urbana-Champaign, the M.S. degree in 2000 from Cornell University , Ithaca , NY , and the B.Eng. degree in 1998 from McGill University , Montreal , Canada , all in electrical engineering. He joined Texas A&M University in 2004, where he is currently an assistant professor in the department of Electrical and Computer Engineering. His research interests include communication systems, detection and estimation theory, and statistical signal processing. In 2006, he was the recipient of a Young Author Best Paper Award from the IEEE Signal Processing Society.
