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EE Systems Seminar

Tuesday, January 29, 2019
4:00pm to 5:00pm
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Moore B270
Fundamentals for Low Latency Communications
Vincent Poor, Michael Henry Strater University Professor of Electrical Engineering, Department of Electrical Engineering, Princeton University,

Abstract      Information theory provides fundamental insights into communication system capabilities, and the classical theory of Shannon has guided development of such systems over many decades. However, the classical models are based on assumptions of infinite block-length codes and do not address situations in which short block-lengths are imposed by system design considerations.  Notably in this context, latency has become a critical design issue in emerging wireless networking paradigms, such as the Internet of Things and associated applications like autonomous driving, factory automation, etc.  This situation has inspired the development of a finite-block-length information theory, with many new results coming in recent years. This talk will review these developments, including fundamental finite-block-length results for the basic models of network information theory.

Bio               H. Vincent Poor is the Michael Henry Strater University Professor of Electrical Engineering at Princeton University. From 1977, and until joining the Princeton faculty in 1990, he was on the faculty of the University of Illinois. During 2006 – 2016, he served as Dean of Princeton's School of Engineering and Applied Science. He has also held visiting positions at several other universities, including most recently at Berkeley and Cambridge. Dr. Poor's research interests are in the areas of signal processing and information theory, and their applications in wireless networks, energy systems and related fields. He is a member of the National Academy of Engineering and the National Academy of Sciences, and is a foreign member of the Chinese Academy of Sciences, the Royal Society, and other national and international academies.  He received the IEEE Alexander Graham Bell Medal in 2017.

For more information, please contact Liliana Chavarria by phone at 626-395-4715 or by email at [email protected].