• KSII Transactions on Internet and Information Systems
    Monthly Online Journal (eISSN: 1976-7277)

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

Vol. 13, No. 6, June 29, 2019
10.3837/tiis.2019.06.010, Download Paper (Free):

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.


Statistics

Show / Hide Statistics

Statistics (Cumulative Counts from December 1st, 2015)
Multiple requests among the same browser session are counted as one view.
If you mouse over a chart, the values of data points will be shown.


Cite this article

[IEEE Style]
J. Bao, D. Xu, H. Luo and R. Zhang, "Design and Optimization for Distributed Compress-and-Forward System based on Multi-Relay Network," KSII Transactions on Internet and Information Systems, vol. 13, no. 6, pp. 2949-2963, 2019. DOI: 10.3837/tiis.2019.06.010.

[ACM Style]
Junwei Bao, Dazhuan Xu, Hao Luo, and Ruidan Zhang. 2019. Design and Optimization for Distributed Compress-and-Forward System based on Multi-Relay Network. KSII Transactions on Internet and Information Systems, 13, 6, (2019), 2949-2963. DOI: 10.3837/tiis.2019.06.010.