Statistical CSI-Based Design for Reconfigurable Intelligent Surface-Aided Massive MIMO Systems with Direct Links

Kangda Zhi; Cunhua Pan; Hong Ren; Kezhi Wang

doi:10.1109/LWC.2021.3059938

Statistical CSI-Based Design for Reconfigurable Intelligent Surface-Aided Massive MIMO Systems with Direct Links

Kangda Zhi, Cunhua Pan^*, Hong Ren, Kezhi Wang

^*Corresponding author for this work

Computer and Information Sciences Department

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Abstract

This letter investigates the performance of reconfigurable intelligent surface (RIS)-aided massive multiple-input multiple-output (mMIMO) 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 bring significant performance gains to the traditional mMIMO systems.

Original language	English
Article number	9355404
Pages (from-to)	1128-1132
Number of pages	5
Journal	IEEE Wireless Communications Letters
Volume	10
Issue number	5
Early online date	17 Feb 2021
DOIs	https://doi.org/10.1109/LWC.2021.3059938
Publication status	Published - May 2021

Keywords

Intelligent reflecting surface (IRS)
massive MIMO
reconfigurable intelligent surface (RIS)
statistical CSI

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10.1109/LWC.2021.3059938

2012.07030Accepted author manuscript, 1.14 MB

https://qmro.qmul.ac.uk/xmlui/handle/123456789/70960

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abstract = "This letter investigates the performance of reconfigurable intelligent surface (RIS)-aided massive multiple-input multiple-output (mMIMO) 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 bring significant performance gains to the traditional mMIMO systems.",

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AB - This letter investigates the performance of reconfigurable intelligent surface (RIS)-aided massive multiple-input multiple-output (mMIMO) 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 bring significant performance gains to the traditional mMIMO systems.

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Statistical CSI-Based Design for Reconfigurable Intelligent Surface-Aided Massive MIMO Systems with Direct Links

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