Abstract
In this paper, a free deterministic equivalent is proposed for the capacity analysis of the multi-input multi-output (MIMO) multiple access channel (MAC) with a more general channel model compared to previous works. In particular, a MIMO MAC with one base station (BS) equipped with several distributed antenna sets is considered. Each link between a user and a BS antenna set forms a jointly correlated Rician fading channel. The analysis is based on operator-valued free probability theory, which broadens the range of applicability of free probability techniques tremendously. By replacing independent Gaussian random matrices with operator-valued random variables satisfying certain operator-valued freeness relations, the free deterministic equivalent of the considered channel Gram matrix is obtained. The Shannon transform of the free deterministic equivalent is derived, which provides an approximate expression for the ergodic input-output mutual information of the channel. The sum-rate capacity achieving input covariance matrices are also derived based on the approximate ergodic input-output mutual information. The free deterministic equivalent results are easy to compute, and simulation results show that these approximations are numerically accurate and computationally efficient.
Recommended Citation
A. A. Lu et al., "Free Deterministic Equivalents for the Analysis of MIMO Multiple Access Channel," IEEE Transactions on Information Theory, vol. 62, no. 8, pp. 4604 - 4629, article no. 7479496, Institute of Electrical and Electronics Engineers, Aug 2016.
The definitive version is available at https://doi.org/10.1109/TIT.2016.2573309
Department(s)
Electrical and Computer Engineering
Keywords and Phrases
deterministic equivalent; massive multi-input multi-output (MIMO); multiple access channel (MAC); Operator-valued free probability
International Standard Serial Number (ISSN)
0018-9448
Document Type
Article - Journal
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2024 Institute of Electrical and Electronics Engineers, All rights reserved.
Publication Date
01 Aug 2016
Comments
National Science Foundation, Grant 2014AA01A704