January 25, 2012
EE Conference Room
Speaker: Vaneet Aggarwal (AT&T Labs-Research)
More knowledge about any system leads to better performance. I will talk about this adage in relation to mobile wireless networks where each node knows the network parameters only in its immediate neighborhood. Due to this local knowledge, individual nodes in the network have to decide transmission power and code-books without global knowledge of the network. What then is the value to a node of learning more about its immediate neighborhood, and what are the protocols that make optimal use of the local information? In this talk, I will provide some answers and introduce a principled framework for distributed decision making.
Vaneet Aggarwal received his B.Tech. degree in 2005 from the Indian Institute of Technology in Kanpur, India and his M.A. and Ph.D. degrees from the Electrical Engineering Department of Princeton University, NJ in 2007 and 2010, respectively. He is currently a Senior Member of Technical Staff at AT&T Labs-Research, Florham Park, NJ. His research interests are in applications of information and coding theory to wireless systems and quantum error correction. Dr. Aggarwal was the recipient of Princeton University's Porter Ogden Jacobus Honorific Fellowship in 2009, which is typically received by an Electrical Engineering student once in thirteen years.