Wang, K;
Qi, N;
Guan, X;
Shi, Q;
Xiao, M;
Jin, S;
Wong, KK;
(2023)
Transmit/Passive Beamforming Design for Multi-IRS Assisted Cell-Free MIMO Networks.
IEEE Systems Journal
pp. 1-10.
10.1109/JSYST.2023.3307556.
(In press).
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Abstract
For beyond fifth-generation and sixth-generation communication, intelligent reflecting surface (IRS)/reconfigurable intelligent surface, and cell-free networks have been proposed as revolutionary technologies, which could significantly improve the connection quality and coverage to meet future communication demands for extremely massive connectivity and high reliability. In this article, a transmit/passive beamforming strategy for multi-IRS assisted cell-free multi-input–multi-output network is proposed to maximize the weighted sum-rate (WSR). Specifically, for passive beamforming of IRS, an elementwise block coordinate descent framework is applied to efficiently solve the unit-modulus constraints and reduce computation complexity greatly. Note that, every variable in our proposed algorithm can be updated with closed-form solutions and our algorithm can be applied with distributed implementation. Both analytical and simulation results demonstrate that, while guaranteeing superiority in WSR performance and information interaction cost, the proposed scheme outperforms the benchmark algorithms with closed-form solutions significantly in terms of complexity cost.
| Type: | Article |
|---|---|
| Title: | Transmit/Passive Beamforming Design for Multi-IRS Assisted Cell-Free MIMO Networks |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1109/JSYST.2023.3307556 |
| Publisher version: | https://doi.org/10.1109/JSYST.2023.3307556 |
| 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: | Beamforming, cell-free network, elementwise block coordinate descent (BCD), intelligent reflecting surface (IRS)/reconfigurable intelligent surface (RIS), weighted sum-rate (WSR) maximization |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science 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/10180847 |
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