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

• Published in: IEEE wireless communications letters Vol. 10; no. 5; pp. 1128 - 1132
• Main Authors: Zhi, Kangda, Pan, Cunhua, Ren, Hong, Wang, Kezhi
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 01.05.2021; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Analytical models; Array signal processing; Closed-form solutions; Genetic algorithms; Intelligent reflecting surface (IRS); Massive MIMO; MIMO; MIMO (control systems); Performance gain; reconfigurable intelligent surface (RIS); Reconfigurable intelligent surfaces; statistical CSI
• ISSN: 2162-2337; 2162-2345
• DOI: 10.1109/LWC.2021.3059938

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.