M. Farooq, V. Kumar, M. Juntti and L. -N. Tran, "On the Achievable Rate of IRS-Assisted Multigroup Multicast Systems," GLOBECOM 2022 - 2022 IEEE Global Communications Conference, Rio de Janeiro, Brazil, 2022, pp. 5844-5849, doi: 10.1109/GLOBECOM48099.2022.10001087
On the achievable rate of IRS-assisted multigroup multicast systems
|Author:||Farooq, Muhammad1; Kumar, Vaibhav1; Juntti, Markku2;|
1School of Electrical and Electronic Engineering, University College Dublin, Belfield, Dublin 4, Ireland
2Centre for Wireless Communications, University of Oulu, P.O. Box 4500, FI-90014, Finland
|Online Access:||PDF Full Text (PDF, 0.6 MB)|
|Persistent link:|| http://urn.fi/urn:nbn:fi-fe2023020926594
|Publish Date:|| 2023-02-09
Intelligent reflecting surfaces (IRSs) have shown huge advantages in many potential use cases and thus have been considered a promising candidate for next-generation wireless systems. In this paper, we consider an IRS-assisted multigroup multicast (IRS-MGMC) system in a multiple-input single-output (MISO) scenario, for which the related existing literature is rather limited. In particular, we aim to jointly design the transmit beamformers and IRS phase shifts to maximize the sum rate of the system under consideration. In order to obtain a numerically efficient solution to the formulated non-convex optimization problem, we propose an alternating projected gradient (APG) method where each iteration admits a closed-form and is shown to be superior to a known solution that is derived from the majorization-minimization (MM) method in terms of both achievable sum rate and required complexity, i.e., run time. In particular, we show that the complexity of the proposed APG method grows linearly with the number of IRS tiles, while that of the known solution in comparison grows with the third power of the number of IRS tiles. The numerical results reported in this paper extend our understanding on the achievable rates of large-scale IRS-assisted multigroup multicast systems.
|Pages:||5844 - 5849|
GLOBECOM 2022 - 2022 IEEE Global Communications Conference
IEEE Global Communications Conference
|Type of Publication:||
A4 Article in conference proceedings
|Field of Science:||
213 Electronic, automation and communications engineering, electronics
This publication has emanated from research conducted with the financial support of Science Foundation Ireland (SFI) and is co-funded under the European Regional Development Fund under Grant Number 17/CDA/47.
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