This letter addresses a multivariate optimization problem for linear movable antenna arrays (MAAs). Particularly, the position and beamforming vectors of the under-investigated MAA are optimized simultaneously to maximize the minimum beamforming gain across several intended directions, while ensuring interference levels at various unintended directions remain below specified thresholds. To this end, a swarm-intelligence-based firefly algorithm (FA) is introduced to acquire an effective solution to the optimization problem. Simulation results reveal the superior performance of the proposed FA approach compared to the state-of-the-art approach employing alternating optimization and successive convex approximation. This is attributed to the FA's effectiveness in handling non-convex multivariate and multimodal optimization problems without resorting approximations.
@article{arxiv.2409.04228,
title = {Firefly Algorithm for Movable Antenna Arrays},
author = {Manh Kha Hoang and Tuan Anh Le and Kieu-Xuan Thuc and Tong Van Luyen and Xin-She Yang and Derrick Wing Kwan Ng},
journal= {arXiv preprint arXiv:2409.04228},
year = {2024}
}