The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
다중 릴레이 네트워크를 기반으로 하는 새로운 압축 및 전달(CF) 시스템이 제안됩니다. 이 시스템에는 두 개의 네트워크가 연결되어 있는데, 하나는 아날로그 소스와 릴레이를 연결하는 센서 네트워크이고, 다른 하나는 릴레이와 대상 간의 통신 네트워크입니다. 여러 개의 병렬 릴레이 노드에서 아날로그 신호는 양자화 및 인코딩을 거쳐 디지털 신호로 변환된 후 디지털 신호가 대상으로 전송됩니다. CEO(Chief Executive Officer) 이론을 기반으로 모든 소스-릴레이 링크의 최소 전송 속도를 계산하고 Shannon 채널 용량 이론에 따라 센서 네트워크와 통신 네트워크를 결합한 시스템 모델을 제안합니다. 또한 비트 오류율(BER)이 아닌 신호 대 잡음비(SNR)로 측정되는 시스템 전력 제약 하에서 최상의 시스템 성능을 얻습니다. 수치 시뮬레이션 결과는 제안된 CF가 SNR 대비 성능에서 기존 AF(증폭 및 전달) 시스템보다 성능이 우수하다는 것을 보여줍니다.
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
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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
부
@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},}
부
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 -