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Computer Science > Information Theory

arXiv:2012.07030 (cs)
[Submitted on 13 Dec 2020 (v1), last revised 15 Feb 2021 (this version, v3)]

Title:Statistical CSI-based Design for Reconfigurable Intelligent Surface-aided Massive MIMO Systems with Direct Links

Authors:Kangda Zhi, Cunhua Pan, Hong Ren, Kezhi Wang
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Abstract:This paper investigates the performance of reconfigurable intelligent surface (RIS)-aided massive multiple-input multiple-output (MIMO) systems with direct links, and the phase shifts of the RIS are designed based on the statistical channel state information (CSI). We first derive the closed-form expression of the uplink ergodic data rate. Then, based on the derived expression, we use the genetic algorithm (GA) to solve the sum data rate maximization problem. With low-complexity maximal-ratio combination (MRC) and low-overhead statistical CSI-based scheme, we validate that the RIS can still bring significant performance gains to traditional massive MIMO systems.
Comments: Accepted by IEEE Wireless Communications Letters. Keywords: Intelligent Reflecting Surface (IRS), reconfigurable intelligent surface (RIS)
Subjects: Information Theory (cs.IT); Signal Processing (eess.SP)
Cite as: arXiv:2012.07030 [cs.IT]
  (or arXiv:2012.07030v3 [cs.IT] for this version)
  https://doi.org/10.48550/arXiv.2012.07030

Submission history

From: Pan Cunhua [view email]
[v1] Sun, 13 Dec 2020 10:50:06 UTC (908 KB)
[v2] Tue, 15 Dec 2020 02:13:05 UTC (908 KB)
[v3] Mon, 15 Feb 2021 12:49:32 UTC (815 KB)
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