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Joint Transmit Diversity and Active/Passive Precoding Design for IRS-Aided Multiuser Communication

Zheng, Beixiong; Ma, Tiantian; Tang, Jie; You, Changsheng; Lin, Shaoe; Wong, Kai-Kit; (2024) Joint Transmit Diversity and Active/Passive Precoding Design for IRS-Aided Multiuser Communication. In: ICC 2024 - IEEE International Conference on Communications. (pp. pp. 3719-3724). IEEE: Denver, CO, USA. Green open access

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Abstract

In this paper, we investigate a novel intelligent reflecting surface (IRS)-aided multiuser communication system, where a multi-antenna base station (BS) integrated with an IRS simultaneously serves multiple low-mobility and high-mobility users via transmit diversity and active/passive precoding, respectively. Specifically, we exploit IRS's common phase shift to help achieve transmit diversity for high-mobility users without any channel state information (CSI), while incorporating the active/passive precoding design into the IRS-integrated BS to serve low-mobility users with known CSI. Then, we formulate and solve a new problem to minimize the total transmit power at the BS by jointly optimizing the reflect precoding at the IRS and the transmit precoding at the BS to cope with interference among different users. Simulation results validate the performance superiority of our proposed IRS-aided multiuser communication.

Type: Proceedings paper
Title: Joint Transmit Diversity and Active/Passive Precoding Design for IRS-Aided Multiuser Communication
Event: ICC 2024 - IEEE International Conference on Communications
Dates: 9 Jun 2024 - 13 Jun 2024
ISBN-13: 978-1-7281-9054-9
Open access status: An open access version is available from UCL Discovery
DOI: 10.1109/ICC51166.2024.10622714
Publisher version: http://dx.doi.org/10.1109/icc51166.2024.10622714
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: Base stations; Communication systems; Precoding; Simulation; Interference; Performance gain; Optimization
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Electronic and Electrical Eng
URI: https://discovery.ucl.ac.uk/id/eprint/10196822
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