Weighted Sum Rate Optimization for STAR-RIS-Assisted MIMO System

Hehao Niu, Zheng Chu, Fuhui Zhou, Pei Xiao, Naofal Al-Dhahir

Research output: Journal PublicationArticlepeer-review

25 Citations (Scopus)


In this work, we study a simultaneous transmitting and reflecting reconfigurable intelligent surface (RIS)-assisted multiple-input multiple-output network. For the system under consideration, we maximize the weighted sum rate, mainly based on the energy splitting (ES) scheme. To tackle this optimization problem, a sub-optimal block coordinate descent (BCD) algorithm is proposed to design the precoding matrices and the transmitting and reflecting coefficients (TRCs) in an alternate manner. Specifically, the precoding matrices are solved using the Lagrange dual method, while the TRCs are obtained using the constrained concave-convex procedure (CCCP). The simulation results reveal that: 1) Simultaneous transmitting and reflecting RIS (STAR-RIS) can achieve better performance than conventional reflecting/transmiting-only RIS; 2) In unicast communication, time switching (TS) scheme outperforms the ES and mode selection (MS) schemes, while in broadcast communication, ES scheme outperforms the TS and MS schemes.

Original languageEnglish
Pages (from-to)2122-2127
Number of pages6
JournalIEEE Transactions on Vehicular Technology
Issue number2
Publication statusPublished - 1 Feb 2022
Externally publishedYes


  • block coordinate descent
  • constrained concave-convex procedure
  • Reconfigurable intelligent surfaces
  • simultaneously transmitting and reflecting

ASJC Scopus subject areas

  • Automotive Engineering
  • Aerospace Engineering
  • Electrical and Electronic Engineering
  • Applied Mathematics


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