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| Hauptverfasser: | , , , , , |
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| Format: | Preprint |
| Veröffentlicht: |
2024
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| Schlagworte: | |
| Online-Zugang: | https://arxiv.org/abs/2409.04228 |
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| _version_ | 1866909307476377600 |
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| author | Hoang, Manh Kha Le, Tuan Anh Thuc, Kieu-Xuan Van Luyen, Tong Yang, Xin-She Ng, Derrick Wing Kwan |
| author_facet | Hoang, Manh Kha Le, Tuan Anh Thuc, Kieu-Xuan Van Luyen, Tong Yang, Xin-She Ng, Derrick Wing Kwan |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2409_04228 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Firefly Algorithm for Movable Antenna Arrays Hoang, Manh Kha Le, Tuan Anh Thuc, Kieu-Xuan Van Luyen, Tong Yang, Xin-She Ng, Derrick Wing Kwan Information Theory Signal Processing 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. |
| title | Firefly Algorithm for Movable Antenna Arrays |
| topic | Information Theory Signal Processing |
| url | https://arxiv.org/abs/2409.04228 |