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Computer Science > Information Theory

arXiv:1209.5513 (cs)
[Submitted on 25 Sep 2012 (v1), last revised 26 Sep 2012 (this version, v2)]

Title:On Capacity of Large-Scale MIMO Multiple Access Channels with Distributed Sets of Correlated Antennas

Authors:Jun Zhang, Chao-Kai Wen, Shi Jin, Xiqi Gao, Kai-Kit Wong
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Abstract:In this paper, a deterministic equivalent of ergodic sum rate and an algorithm for evaluating the capacity-achieving input covariance matrices for the uplink large-scale multiple-input multiple-output (MIMO) antenna channels are proposed. We consider a large-scale MIMO system consisting of multiple users and one base station with several distributed antenna sets. Each link between a user and an antenna set forms a two-sided spatially correlated MIMO channel with line-of-sight (LOS) components. Our derivations are based on novel techniques from large dimensional random matrix theory (RMT) under the assumption that the numbers of antennas at the terminals approach to infinity with a fixed ratio. The deterministic equivalent results (the deterministic equivalent of ergodic sum rate and the capacity-achieving input covariance matrices) are easy to compute and shown to be accurate for realistic system dimensions. In addition, they are shown to be invariant to several types of fading distribution.
Comments: 52 pages, 6 figures. Accepted by the IEEE Journal on Selected Areas in Communications
Subjects: Information Theory (cs.IT)
Cite as: arXiv:1209.5513 [cs.IT]
  (or arXiv:1209.5513v2 [cs.IT] for this version)
  https://doi.org/10.48550/arXiv.1209.5513
Related DOI: https://doi.org/10.1109/JSAC.2013.130203

Submission history

From: Jun Zhang [view email]
[v1] Tue, 25 Sep 2012 06:47:02 UTC (3,074 KB)
[v2] Wed, 26 Sep 2012 12:38:30 UTC (3,074 KB)
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