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
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