Twin-timescale design for IRS-assisted MIMO system with outdated CSI

doi:10.23919/JSEE.2023.000087

Journal of Systems Engineering and Electronics ›› 2024, Vol. 35 ›› Issue (6): 1380-1387.doi: 10.23919/JSEE.2023.000087

• • 上一篇

收稿日期:2022-01-21 出版日期:2024-12-18 发布日期:2025-01-14

Twin-timescale design for IRS-assisted MIMO system with outdated CSI

Yashuai CAO¹(), Tiejun LYU¹^,*(), Wei NI²()

¹ School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China
² Data61, Commonwealth Scientific and Industrial Research Organisation, Sydney 2122, Australia

Received:2022-01-21 Online:2024-12-18 Published:2025-01-14
Contact: Tiejun LYU E-mail:caoys@tsinghua.edu.cn;lvtiejun@bupt.edu.cn;wei.ni@data61.csiro.au
About author:
CAO Yashuai was born in 1994. He received his B.E. and Ph.D. degrees in communication engineering from Chongqing University of Posts and Telecommunications and Beijing University of Posts and Telecommunications, China, in 2017 and 2022, respectively. From 2022 to 2023, he was a lecturer in the Department of Electronics and Communication Engineering, North China Electric Power University, Baoding. He is currently a postdoctoral research fellow with the Department of Electronic Engineering, Tsinghua University, Beijing, China. His current research interests include wireless resource allocation and signal processing technologies for massive multiple input multiple output systems and intelligent reflecting surface assisted wireless networks. E-mail: caoys@tsinghua.edu.cn

LYU Tiejun was born in 1969. He received his M.S. and Ph.D. degrees in electronic engineering from University of Electronic Science and Technology of China, Chengdu, China, in 1997 and 2000, respectively. From 2001 to 2003, he was a postdoctoral fellow with Tsinghua University, Beijing, China. In 2005, he was promoted to a full professor with the School of Information and Communication Engineering, Beijing University of Posts and Telecommunications. From September 2008 to March 2009, he was a visiting professor with the Department of Electrical Engineering, Stanford University, Stanford, CA, USA. His current research interests include signal processing, communications theory and networking. E-mail: lvtiejun@bupt.edu.cn

NI Wei was born in 1978. He received his B.E. and Ph.D. degrees in electronic engineering from Fudan University, Shanghai, China, in 2000 and 2005, respectively. Currently, he is a group leader and principal research scientist at Commonwealth Scientific and Industrial Research Organisation, Sydney, Australia, and an adjunct professor at University of Technology Sydney and Hono-rary Professor at Macquarie University, Sydney. He was a postdoctoral research fellow at Shanghai Jiaotong University from 2005 to 2008, deputy project manager at the Bell Labs, Alcatel/Alcatel-Lucent from 2005 to 2008, and senior researcher at Devices R&D, Nokia from 2008 to 2009. His research interests include signal processing, stochastic optimization, learning, as well as their applications to network efficiency and integrity. E-mail: wei.ni@data61.csiro.au
Supported by:
This work was supported by the National Natural Science Foundation of China (62271068) and the Beijing Natural Science Foundation (L222046).

摘要/Abstract

Abstract:

This paper considers an intelligent reflecting surface (IRS)-assisted multiple-input multiple-output (MIMO) system. To maximize the average achievable rate (AAR) under outdated channel state information (CSI), we propose a twin-timescale passive beamforming (PBF) and power allocation protocol which can reduce the IRS configuration and training overhead. Specifically, the short-timescale power allocation is designed with the outdated precoder and fixed PBF. A new particle swarm optimization (PSO)-based long-timescale PBF optimization is proposed, where mini-batch channel samples are utilized to update the fitness function. Finally, simulation results demonstrate the effectiveness of the proposed method.

Key words: intelligent reflecting surface (IRS), twin-timescale beamforming, outdated channel state information (CSI)

. [J]. Journal of Systems Engineering and Electronics, 2024, 35(6): 1380-1387.

Yashuai CAO, Tiejun LYU, Wei NI. Twin-timescale design for IRS-assisted MIMO system with outdated CSI[J]. Journal of Systems Engineering and Electronics, 2024, 35(6): 1380-1387.

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参考文献 17

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Twin-timescale design for IRS-assisted MIMO system with outdated CSI

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