Performance and optimisation of agent compression and forwarding system for correlated sources

Affiliation of Author(s):电子信息工程学院

Journal:IET Commun.

Abstract:A system for the correlated Gaussian sources to perform compression forwarding via the multi-relay network in the additive white Gaussian noise channel is proposed in this study. The characteristic of the newly proposed system is that it is composed of two parts: An analogue sensor network from the sources to multiple relay nodes and a digital communication network from multiple relay nodes to the destination node. The sensors can only perform simple analogue signal transmission, but the encoder set up at each relay can carry out complex distributed source coding DSC and then send the coded digital signals to the destination node. In this study, the authors establish the rate-distortion function of DSC based on the Chief Executive Officer problem. Combined with the channel capacity theorem, an optimal power allocation scheme is first proposed. The quantisation signal-to-noise ratio (SNR) at the destination node is used to evaluate the performance of the system under different correlations between sources. For the case of independent sources, a closed-form expression for the quantisation SNR is derived and they compare the optimised agent compress-and-forward system with the traditional amplify-and-forward system to verify that the proposed system can achieve better SNR performance. © The Institution of Engineering and Technology 2019.

ISSN No.:1751-8628

Translation or Not:no

Date of Publication:2019-10-08

Co-author:Chen, Dan,cd,Zhang, Ruidan

Correspondence Author:Chen, Dan,Dazhuan Xu

Date of Publication:2019-10-08