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http://dx.doi.org/10.3837/tiis.2019.06.010

Design and Optimization for Distributed Compress-and-Forward System based on Multi-Relay Network  

Bao, Junwei (College of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics)
Xu, Dazhuan (College of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics)
Luo, Hao (College of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics)
Zhang, Ruidan (Nanjing Research Institute of Huawei Technologies Co., Ltd.)
Publication Information
KSII Transactions on Internet and Information Systems (TIIS) / v.13, no.6, 2019 , pp. 2949-2963 More about this Journal
Abstract
A novel distributed compress-and-forward (CF) system based on multi-relay network is presented. In this system, as the direct link between the source and destination is invalid due to some reasons, such as the limited power, special working environment, or even economic factors, relays are employed to receive analog signals and carry on distributed compressed encoding. Subsequently, the digital signals are transmitted to the destination via wireless channel. Moreover, a theoretical analysis for the system is provided by utilizing the Chief Executive Officer (CEO) theory and Shannon channel capacity theory, and the rate-distortion function as well as the connection between the transmission rate and the channel capacity are constructed. In addition, an optimal signal-to-noise ratio (SNR) -based power allocation method is proposed to maximize the quantization SNR under the limited total power. Simulation result shows that the proposed CF system outperforms the amplify-and-forward (AF) system versus the SNR performance.
Keywords
compress-and-forward; multi-relay; amplify-and-forward; the CEO problem; SNR; power allocation;
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Times Cited By KSCI : 2  (Citation Analysis)
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