DocumentCode :
590731
Title :
Ergodic mutual information of amplify-and-forward MIMO relay channels with LOS components
Author :
Chung-Kai Hsu ; Chao-Kai Wen ; Jung-Chieh Chen ; Wan-Jen Huang ; Pangan Ting
Author_Institution :
Inst. of Commun. Eng., Nat. Sun Yat-sen Univ., Kaohsiung, Taiwan
fYear :
2012
fDate :
3-6 Dec. 2012
Firstpage :
1
Lastpage :
4
Abstract :
In this paper, we address the ergodic mutual information of amplify-and-forward multiple-input multiple-output two-hop relay channels. In these channels, the source terminal, relay terminal, and destination terminal are equipped with a number of correlated antennas, and there presents a line-of-sight component on each link. The models have widel applications in the field of machine-type communication devices, such as meters and sensors. Given channel matrices with Gaussian entries, the mean of mutual information is derived under the large-system regimen, in which the number of antennas at the transmitter and the receiver go to infinity with a fixed ratio. Simulation results demonstrate that even for a moderate number of antennas at each end, the proposed analytical results provide undistinguishable results from those obtained by Monte-Carlo simulations. In addition, the well approximation property holds even if the entries of the channel matrices are non-Gaussian.
Keywords :
Gaussian channels; MIMO communication; Monte Carlo methods; amplify and forward communication; matrix algebra; radio links; radio receivers; radio transmitters; receiving antennas; relay networks (telecommunication); transmitting antennas; wireless channels; Gaussian entries; LOS component; Monte-Carlo simulation; amplify-and-forward MIMO relay channel; amplify-and-forward multiple-input multiple-output two-hop relay channel; approximation property; channel matrices; correlated antennas; destination terminal; ergodic mutual information; line-of-sight component; link; machine-type communication device; meter; receiver antenna; relay terminal; sensor; source terminal; transmitter antenna; Approximation methods; Fading; MIMO; Monte Carlo methods; Mutual information; Nakagami distribution; Relays;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal & Information Processing Association Annual Summit and Conference (APSIPA ASC), 2012 Asia-Pacific
Conference_Location :
Hollywood, CA
Print_ISBN :
978-1-4673-4863-8
Type :
conf
Filename :
6411878
Link To Document :
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