Design and SNR Optimization for Multi-Relay Compress-and-Forward System Based on CEO Theory

Junwei BAO  Dazhuan XU  Hao LUO  Ruidan ZHANG  Fei WANG  

IEICE TRANSACTIONS on Information and Systems   Vol.E103-D   No.5   pp.1006-1012
Publication Date: 2020/05/01
Online ISSN: 1745-1361
DOI: 10.1587/transinf.2018EDP7138
Type of Manuscript: PAPER
Category: Fundamentals of Information Systems
compress-and-forward,  multi-relay,  amplify-and-forward,  SNR,  

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A novel compress-and-forward (CF) system based on multi-relay network is proposed. In this system, two networks are linked, wherein one is a sensor network connecting the analog source and the relays, and the other is a communication network between the relays and the destination. At several parallel relay nodes, the analog signals are transformed into digital signals after quantization and encoding and then the digital signals are transmitted to the destination. Based on the Chief Executive Officer (CEO) theory, we calculate the minimum transmission rate of every source-relay link and we propose a system model by combining sensor network with communication network according to Shannon channel capacity theory. Furthermore, we obtain the best possible system performance under system power constraint, which is measured by signal-to-noise ratio (SNR) rather than bit error rate (BER). Numerical simulation results show that the proposed CF outperforms the traditional amplify-and-forward (AF) system in the performance versus SNR.