Power-Distortion Performance of Successive Coding Strategy in Gaussian Ceo Problem

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