Collaborative Algorithms for a Class of Clustered Wireless Networks

July 19, 2004
Ananth Subramanian | University of California

In this talk, we propose collaborative algorithms for wireless networks. Assuming that nodes communicate using frequency division multiple access, we propose collaborative bandwidth allocation strategies for the above clustering protocol that minimize proportional blocking probabilities. The strategies utilize a very elegant form of utility function, which allows for easy optimization. We then subsequently propose optimal rate allocation among the nodes based on joint encoding of the data from these nodes assuming that they are correlated. The correlation model assumed is Gaussian. Encoding rates are from a relaxed convex rate distortion region using a special encoding procedure. We develop an algorithm for allocating rates subject to energy and buffer constraints. Subsequently, we incorporate joint rate and power control algorithms into the nodes to cater to high data rate communications. This way, we address the fundamental tradeoff that exists between power levels, data rates, and congestion rates in the network. Lastly, we assume that nodes communicate using code division multiple access and we propose a robust receiver for uplink communication. The receiver uses low order auto-regressive models to approximate the multi-path fading channel taps, and a post correlation-based uncertain model for estimation purposes.

Hence in totality, we will throw some light from information theory to collaborative signal processing to help design optimally functional wireless networks.

Speaker Details

Ananth Subramanian obtained his Bachelors in Electrical and Electronics Engineering and Masters in Mathematics in 1997 from BITS, Pilani. He obtained his Masters in Electrical Engineering from the Indian Institute of Science in 1998 where he was awarded the Gold Medal for being the best overall graduate student. He later worked in Wipro Corporation as a senior design engineer in signal processing until he joined UCLA in the Fall of 1999. He has held the position of Teaching Fellow at UCLA and was awarded Henry Samueli Excellence in Teaching Award in 2002. He was also awarded the UCLA Chancellors Fellowship in 2003. He is currently a member of IEEE and SIAM. His areas of interests include collaborative, statistical and robust signal processing, systems theory, and wireless communication systems and networks.