Paper: | SPCOM-P2.10 |
Session: | Resource Allocation (MAC and Scheduling) |
Time: | Tuesday, May 16, 10:30 - 12:30 |
Presentation: |
Poster
|
Topic: |
Signal Processing for Communication: Distributed channel and source coding, information-theoretic studies |
Title: |
POWER-DISTORTION PERFORMANCE OF SUCCESSIVE CODING STRATEGY IN GAUSSIAN CEO PROBLEM |
Authors: |
Hamid Behroozi, M. Reza Soleymani, Concordia University, Canada |
Abstract: |
In this paper, we investigate the power-distortion performance of the successive coding strategy in the so-called quadratic Gaussian CEO problem. In the CEO problem, L sensors will be deployed to observe independently corrupted versions of the source. They communicate information about their observations to the CEO through a Gaussian multiple access channel (MAC) without cooperating with each other. Two types of MAC are considered: orthogonal MAC and interfering (non-orthogonal) MAC. We address the problem from an information theoretic perspective and obtain the optimal tradeoff between the transmission cost, i.e., power and the distortion D using Shannon’s source-channel separation theorem. We also determine the optimal power allocation scheme based on the successive coding strategy to minimize the total power consumption in the sensor network. |