DocumentCode :
3608142
Title :
Asymptotic Capacity Analysis for Sparse Multipath Multiple-Input Multiple-Output Channels
Author :
Wenlong Cai ; Peng Wang ; Yonghui Li ; Youguang Zhang ; Peng Pan
Author_Institution :
Sch. of Electron. & Inf. Eng., Beihang Univ., Beijing, China
Volume :
19
Issue :
12
fYear :
2015
Firstpage :
2262
Lastpage :
2265
Abstract :
This letter is concerned with the asymptotic capacity analysis for sparse multipath multiple-input multiple-output (MIMO) channels. On the basis of independent multipath assumption, we asymptotically analyze the impact of system sparsity on the eigenvalue performance and capacity of the channel, and derive the closed-form expressions for them. Moreover, the approximations of the asymptotic channel capacity at high signal-to-noise ratios (SNRs) and low SNRs have also been presented. Our results indicate that the channel capacity is a monotonic increasing function of channel sparsity. Compared with the rich scattering environments, there is a decrease of channel capacity in the sparse channels, and the decrease at high SNRs only depends on the channel sparsity. Numerical results show that the asymptotic results have good accuracy to predict the capacity of MIMO systems with limited number of antennas.
Keywords :
MIMO communication; channel capacity; eigenvalues and eigenfunctions; multipath channels; SNR; asymptotic capacity analysis; channel capacity; channel sparsity; eigenvalue performance; independent multipath assumption; signal-to-noise ratios; sparse channels; sparse multipath MIMO channels; sparse multipath multiple-input multiple-output channels; system sparsity; Antennas; Channel capacity; Eigenvalues and eigenfunctions; MIMO; Scattering; Signal to noise ratio; Sparse matrices; Sparse multipath channel; multiple-input multiple-output communication; random matrix theory (RMT);
fLanguage :
English
Journal_Title :
Communications Letters, IEEE
Publisher :
ieee
ISSN :
1089-7798
Type :
jour
DOI :
10.1109/LCOMM.2015.2490069
Filename :
7296600
Link To Document :
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