Weighted Sum-Rate and Energy Efficiency Maximization for Joint ITS and IRS Assisted Multiuser MIMO Networks

Wannian Du, Zheng Chu, Gaojie Chen, Pei Xiao, Zihuai Lin, Cheng Huang, Wanming Hao

Research output: Journal PublicationArticlepeer-review

1 Citation (Scopus)


The paper proposed a novel intelligent transmission surface (ITS) aided transmitter in an intelligent reflection surface (IRS) assisted multiuser multiple-input multiple-output (MIMO) network. The ITS deployed in the transmitter architecture can reduce the power consumption in signal beamforming at the base station (BS), and the IRS can help the information transfer from the ITS-aided transmitter to the users. We first maximize the weighted sum rate (WSR) of the users by jointly designing the beamforming vector at the BS and the phase shifts of ITS and IRS. To solve this non-convex optimization problem, we propose an effective algorithm in which the Lagrangian dual transform, the alternative optimization (AO) algorithm and the quadratic transform (QT) method are adopted to simplify the objective function. Then, the bisection search and the alternating direction method of multipliers (ADMM) algorithm are considered to design the optimal beamforming vector and phase shifts of ITS and IRS, respectively. Furthermore, the paper explores the energy efficiency (EE) maximization problem to emphasize the value of the ITS-assisted transmitter in terms of power savings. Finally, we compare the simulation results to various state-of-the-art techniques to see how much better the proposed algorithm is in terms of WSR and EE.

Original languageEnglish
Pages (from-to)7351-7364
Number of pages14
JournalIEEE Transactions on Communications
Issue number11
Publication statusPublished - 1 Nov 2022
Externally publishedYes


  • EE maximization
  • IRS
  • ITS
  • MIMO
  • WSR maximization
  • beamforming vectors
  • optimal phase shifts

ASJC Scopus subject areas

  • Electrical and Electronic Engineering


Dive into the research topics of 'Weighted Sum-Rate and Energy Efficiency Maximization for Joint ITS and IRS Assisted Multiuser MIMO Networks'. Together they form a unique fingerprint.

Cite this