TY - JOUR
T1 - Statistical CSI-Based Design for Reconfigurable Intelligent Surface-Aided Massive MIMO Systems with Direct Links
AU - Zhi, Kangda
AU - Pan, Cunhua
AU - Ren, Hong
AU - Wang, Kezhi
PY - 2021/5
Y1 - 2021/5
N2 - 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.
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.
KW - Intelligent reflecting surface (IRS)
KW - massive MIMO
KW - reconfigurable intelligent surface (RIS)
KW - statistical CSI
UR - http://www.scopus.com/inward/record.url?scp=85100951071&partnerID=8YFLogxK
U2 - 10.1109/LWC.2021.3059938
DO - 10.1109/LWC.2021.3059938
M3 - Article
AN - SCOPUS:85100951071
VL - 10
SP - 1128
EP - 1132
JO - IEEE Wireless Communications Letters
JF - IEEE Wireless Communications Letters
SN - 2162-2337
IS - 5
M1 - 9355404
ER -