CLC number: TN911
On-line Access: 2024-08-27
Received: 2023-10-17
Revision Accepted: 2024-05-08
Crosschecked: 2010-08-31
Cited: 1
Clicked: 7778
Yi Liu, Jian-hua Zhang, Wei Xu, Ze-min Liu. Statistical assessment of selection-based dual-hop semi-blind amplify-and-forward cooperative networks[J]. Journal of Zhejiang University Science C, 2010, 11(10): 785-792.
@article{title="Statistical assessment of selection-based dual-hop semi-blind amplify-and-forward cooperative networks",
author="Yi Liu, Jian-hua Zhang, Wei Xu, Ze-min Liu",
journal="Journal of Zhejiang University Science C",
volume="11",
number="10",
pages="785-792",
year="2010",
publisher="Zhejiang University Press & Springer",
doi="10.1631/jzus.C1010020"
}
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%T Statistical assessment of selection-based dual-hop semi-blind amplify-and-forward cooperative networks
%A Yi Liu
%A Jian-hua Zhang
%A Wei Xu
%A Ze-min Liu
%J Journal of Zhejiang University SCIENCE C
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%P 785-792
%@ 1869-1951
%D 2010
%I Zhejiang University Press & Springer
%DOI 10.1631/jzus.C1010020
TY - JOUR
T1 - Statistical assessment of selection-based dual-hop semi-blind amplify-and-forward cooperative networks
A1 - Yi Liu
A1 - Jian-hua Zhang
A1 - Wei Xu
A1 - Ze-min Liu
J0 - Journal of Zhejiang University Science C
VL - 11
IS - 10
SP - 785
EP - 792
%@ 1869-1951
Y1 - 2010
PB - Zhejiang University Press & Springer
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DOI - 10.1631/jzus.C1010020
Abstract: For multiple-relay cooperative networks with multiple antennas deployed at source and destination nodes, we investigate the outage performance of selection based semi-blind amplify-and-forward (AF) relaying, where transmit beamforming (TB) is conducted at source transmission and maximum ratio combining (MRC) at destination reception. Based on the Kolmogorov-Smirnov test, we analyze the impact of the configuration of destination antennas on the outage performance under arbitrary Nakagami-m fading channels. Results reveal that increasing the number of destination antennas is not necessary for an improvement of outage performance with any Nakagami-m parameter. Inspired by this fact, an approximation is proposed for the optimal selection. Simulation results show that the approximation is an efficient selection method.
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