Firefly Algorithm for Movable Antenna Arrays

Mạnh Kha Hoàng

doi:10.1109/lwc.2024.3456899

Firefly Algorithm for Movable Antenna Arrays

2024-01-01

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Dr Xin-She Yang (Xin‐She Yang)

D

Derrick Wing Kwan Ng

DOI：10.1109/lwc.2024.3456899

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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.

Firefly Algorithm for Movable Antenna Arrays

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