Intelligent Reflecting Surface-Aided Multiuser Communication: Co-design of Transmit Diversity and Active/Passive Precoding

Beixiong Zheng1; Tiantian Ma1; Jie Tang1; Changsheng You2; Shaoe Lin3; Kai-Kit Wong4

2024

10.1109/TWC.2024.3400882

IEEE Transactions on Wireless Communications   影响因子和分区

1558-2248

Intelligent reflecting surface (IRS) has become a cost-effective solution for constructing a smart and adaptive radio environment. Most previous works on IRS have jointly designed the active and passive precoding based on perfectly or partially known channel state information (CSI). However, in delay-sensitive or high-mobility communications, it is imperative to explore more effective methods for leveraging IRS to enhance communication reliability without the need for any CSI. In this paper, we investigate an innovative IRS-aided multiuser communication system, which integrates an IRS with its aided multi-antenna base station (BS) to simultaneously serve multiple high-mobility users through transmit diversity and multiple low-mobility users through active/passive precoding. In specific, we first reveal that when dynamically tuning the IRS’s common phase-shift shared with all reflecting elements, its passive precoding gain to any low-mobility user remains unchanged. Inspired by this property, we utilize the design of common phase-shift at the IRS for achieving transmit diversity to serve high-mobility users, yet without requiring any CSI at the BS. Meanwhile, the active/passive precoding design is incorporated into the IRS-integrated BS to serve low-mobility users (assuming the CSI is known). Then, taking into account the interference among different users, we formulate and solve a joint optimization problem of the IRS’s reflect precoding and the BS’s transmit precoding, with the aim of minimizing the total transmit power at the BS. Simulation results demonstrate that our proposed co-design of transmit diversity and active/passive precoding in IRS-aided multiuser systems can achieve superior and desirable performance compared to other benchmarks.

EI

其他

COMPUTER SCIENCE

1.School of Microelectronics/School of Electronic and Information Engineering, South China University of Technology, Guangzhou, China
2.Department of Electronic and Electrical Engineering, Southern University of Science and Technology (SUSTech), Shenzhen, China
3.School of Information Science and Technology/School of Cyber Security, Guangdong University of Foreign Studies, Guangzhou, China
4.Department of Electronic and Electrical Engineering, University College London, London, U.K.

Beixiong Zheng,Tiantian Ma,Jie Tang,et al. Intelligent Reflecting Surface-Aided Multiuser Communication: Co-design of Transmit Diversity and Active/Passive Precoding[J]. IEEE Transactions on Wireless Communications,2024,PP(99).

Beixiong Zheng,Tiantian Ma,Jie Tang,Changsheng You,Shaoe Lin,&Kai-Kit Wong.(2024).Intelligent Reflecting Surface-Aided Multiuser Communication: Co-design of Transmit Diversity and Active/Passive Precoding.IEEE Transactions on Wireless Communications,PP(99).

Beixiong Zheng,et al."Intelligent Reflecting Surface-Aided Multiuser Communication: Co-design of Transmit Diversity and Active/Passive Precoding".IEEE Transactions on Wireless Communications PP.99(2024).