TY - GEN
T1 - Ergodic mutual information of amplify-and-forward MIMO relay channels with LOS components
AU - Hsu, Chung Kai
AU - Wen, Chao Kai
AU - Chen, Jung Chieh
AU - Huang, Wan Jen
AU - Ting, Pangan
PY - 2012
Y1 - 2012
N2 - 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.
AB - 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.
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M3 - Conference contribution
AN - SCOPUS:84874402126
SN - 9780615700502
T3 - 2012 Conference Handbook - Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2012
BT - 2012 Conference Handbook - Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2012
T2 - 2012 4th Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2012
Y2 - 3 December 2012 through 6 December 2012
ER -