Statistical CSI-Based Design for Reconfigurable Intelligent Surface-Aided Massive MIMO Systems With Direct Links
Kangda Zhi, Cunhua Pan, Hong Ren, Kezhi Wang
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.
Topics & Concepts
Computer scienceTelecommunications linkOverhead (engineering)Channel state informationMIMOMaximizationExpression (computer science)Ergodic theoryChannel (broadcasting)Computer engineeringAlgorithmWirelessMathematical optimizationComputer networkMathematicsTelecommunicationsProgramming languageMathematical analysisOperating systemAdvanced Wireless Communication TechnologiesSatellite Communication SystemsIoT Networks and Protocols