Zhang, S;
Yang, Z;
Chen, M;
Liu, D;
Wong, KK;
Poor, HV;
(2022)
Performance Optimization for Intelligent Reflecting Surface Assisted Multicast MIMO Networks.
In:
2022 IEEE Global Communications Conference, GLOBECOM 2022 - Proceedings.
(pp. pp. 5838-5843).
IEEE: Rio de Janeiro, Brazil.
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Abstract
In this paper, the problem of maximizing the sum rate of all users in an intelligent reflecting surface (IRS)-assisted millimeter wave multicast multiple-input multiple-output communication system is studied. In the considered model, one IRS is deployed to assist the communication from a multi-antenna base station (BS) to the multi-antenna users that are clustered into several groups. Our goal is to maximize the sum rate of all users by jointly optimizing the transmit beamforming matrices of the BS, the receive beamforming matrices of the users, and the phase shifts of the IRS. To solve this non-convex problem, we first use a block diagonalization method to represent the beamforming matrices of the BS and the users by the phase shifts of the IRS. Then, substituting the expressions of the beamforming matrices of the BS and the users, the original sum-rate maximization problem can be transformed into a problem that only needs to optimize the phase shifts of the IRS. To solve the transformed problem, a manifold method is used. Simulation results show that the proposed scheme can achieve up to 13.3 % gain in terms of the sum rate of all users compared to the algorithm that optimizes the hybrid beamforming matrices of the BS and the users using our proposed scheme and randomly determines the phase shifts of the IRS.
| Type: | Proceedings paper |
|---|---|
| Title: | Performance Optimization for Intelligent Reflecting Surface Assisted Multicast MIMO Networks |
| Event: | GLOBECOM 2022 - 2022 IEEE Global Communications Conference |
| Dates: | 4 Dec 2022 - 8 Dec 2022 |
| ISBN-13: | 9781665435406 |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1109/GLOBECOM48099.2022.10000992 |
| Publisher version: | https://doi.org/10.1109/GLOBECOM48099.2022.1000099... |
| 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: | Manifolds, Multicast algorithms, Array signal processing, Surface waves, Simulation, Performance gain, Matrices |
| 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/10164842 |
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