This paper investigates an movable antenna (MA)-enabled multi-group multicast communication system, where a base station (BS) equipped with multiple transmit MAs serves multiple groups of single-MA users. The goal is to maximize the minimum weighted SINR among all users by jointly optimizing the positions of transmit and receive MAs, as well as the transmit beamforming.
The authors first consider the simplified single-group scenario and propose an efficient algorithm based on alternating optimization (AO) and successive convex approximation (SCA) techniques. Specifically, when optimizing transmit or receive MA positions, they construct a concave lower bound for the signal-to-noise ratio (SNR) of each user by applying only the second-order Taylor expansion, which is more effective than existing works utilizing two-step approximations.
The proposed design is then extended to the general multi-group scenario by introducing slack variables. Simulation results demonstrate that the proposed algorithm significantly outperforms benchmark schemes in terms of achievable max-min SNR/SINR. Additionally, the proposed algorithm can notably reduce the required amount of transmit power or antennas for achieving a target level of max-min SNR/SINR performance compared to benchmark schemes.
Furthermore, the authors find that under the assumption that the transmit region and each receive region have identical sizes, employing only receive MAs results in higher max-min SNR/SINR than employing only transmit MAs when the number of transmit MAs is less than or equal to the number of users, and this remains true even when the number of transmit MAs slightly exceeds the number of users.
To Another Language
from source content
arxiv.org
Key Insights Distilled From
by Ying Gao,Qin... at arxiv.org 04-19-2024
https://arxiv.org/pdf/2404.11881.pdfDeeper Inquiries