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

2020/12/13 by Kangda Zhi, Zhi, Kangda, Cunhua Pan +5 · 2 citations
Computer Science · Engineering · Mathematics · #Advanced Wireless Communication Technologies #FOS: Computer and information sciences #FOS: Electrical engineering #Information Theory (cs.IT) #IoT Networks and Protocols #Optical Wireless Communication Technologies #Signal Processing (eess.SP) #cs.IT #eess.SP #electronic engineering #information engineering #math.IT

paper · pdf · doi:10.48550/arxiv.2012.07030

Accepted by IEEE Wireless Communications Letters. Keywords: Intelligent Reflecting Surface (IRS), reconfigurable intelligent surface (RIS)

openalex publication_date 2020/12/13 · arxiv created 2021/02/15 · arxiv updated 2021/02/16 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

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.

Citations

• Large Intelligent Surface-Assisted Wireless Communication Exploiting Statistical CSI
• Intelligent Reflecting Surface-Aided Wireless Communications: A Tutorial

Cited by

• Max-Min Fairness for Stacked Intelligent Metasurface-Assisted Multi-User MISO Systems
• Secure Directional Modulation with Movable Antenna Array Aided by RIS

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