 ELECTRICAL ENGINEERING
COLLOQUIUM
Robust Architectures for Next
Generation Communication Systems
by
Mr. Anand Sarwate
Department of Electrical Engineering & Computer Sciences
University of California, Berkeley
When: Tuesday, March 11, 2008
Time: 10:30 am – 11:30 am
Location: EBU 2 RM 205
Abstract:
Researchers have developed a good understanding of the communication systems of the past decades by using random noise models. This has shaped code design as well as overall system architectures. In this talk, I will argue that these models are not appropriate for the challenges of the future systems, such as cognitive radio, ad-hoc networks, and sensor networks. Interference in these applications may be difficult to model due to the cost of measuring channel characteristics, the behavior of other users, or the interaction of heterogeneous systems using the same resources. I will propose different models and show how they lead to new insights about system architectures and strategies. Specifically, I will discuss how new resources such as secret keys, feedback, and multiple antennas can be exploited to allow robust and adaptive communication.
About the Speaker:
Anand D. Sarwate (S’99) received S.B. degrees in electrical engineering and computer science and mathematics and from the Massachusetts Institute of Technology (MIT), Cambridge in 2002. He is currently completing his PhD in the Department of Electrical Engineering and Computer Sciences (EECS) at the University of California, Berkeley (U.C. Berkeley), where he received his M.S. in 2005. His research interests include information theory, distributed signal processing, and communications. |
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