IEICE TRANSACTIONS on Information
Design and SNR Optimization for Multi-Relay Compress-and-Forward System Based on CEO Theory
Summary :
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.
- Publication
- IEICE TRANSACTIONS on Information Vol.E103-D No.5 pp.1006-1012
- Publication Date
- 2020/05/01
- Publicized
- 2020/01/23
- Online ISSN
- 1745-1361
- DOI
- 10.1587/transinf.2018EDP7138
- Type of Manuscript
- PAPER
- Category
- Fundamentals of Information Systems
Authors
Junwei BAO
Nanjing University of Aeronautics and Astronautics
Dazhuan XU
Nanjing University of Aeronautics and Astronautics
Hao LUO
Nanjing University of Aeronautics and Astronautics
Ruidan ZHANG
Nanjing Research Institute of Huawei Technologies Co., Ltd.
Fei WANG
Nanjing University of Aeronautics and Astronautics
Keyword
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Junwei BAO, Dazhuan XU, Hao LUO, Ruidan ZHANG, Fei WANG, "Design and SNR Optimization for Multi-Relay Compress-and-Forward System Based on CEO Theory" in IEICE TRANSACTIONS on Information,
vol. E103-D, no. 5, pp. 1006-1012, May 2020, doi: 10.1587/transinf.2018EDP7138.
Abstract: 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.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.2018EDP7138/_p
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@ARTICLE{e103-d_5_1006,
author={Junwei BAO, Dazhuan XU, Hao LUO, Ruidan ZHANG, Fei WANG, },
journal={IEICE TRANSACTIONS on Information},
title={Design and SNR Optimization for Multi-Relay Compress-and-Forward System Based on CEO Theory},
year={2020},
volume={E103-D},
number={5},
pages={1006-1012},
abstract={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.},
keywords={},
doi={10.1587/transinf.2018EDP7138},
ISSN={1745-1361},
month={May},}
Copy
TY - JOUR
TI - Design and SNR Optimization for Multi-Relay Compress-and-Forward System Based on CEO Theory
T2 - IEICE TRANSACTIONS on Information
SP - 1006
EP - 1012
AU - Junwei BAO
AU - Dazhuan XU
AU - Hao LUO
AU - Ruidan ZHANG
AU - Fei WANG
PY - 2020
DO - 10.1587/transinf.2018EDP7138
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E103-D
IS - 5
JA - IEICE TRANSACTIONS on Information
Y1 - May 2020
AB - 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.
ER -
English
