Robust Resource Allocation for Over-the-Air Computation Networks with Fluid Antenna Array
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arXiv
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| Format: | Preprint |
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2025
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| author | Pakravan, Saeid Ahmadzadeh, Mohsen Zeng, Ming Hodtani, Ghosheh Abed Chouinard, Jean-Yves Rusch, Leslie A |
| author_facet | Pakravan, Saeid Ahmadzadeh, Mohsen Zeng, Ming Hodtani, Ghosheh Abed Chouinard, Jean-Yves Rusch, Leslie A |
| contents | Fluid antenna (FA) array is envisioned as a promising technology for next-generation communication systems, owing to its ability to dynamically control the antenna locations. In this paper, we apply FA array to boost the performance of over-the-air computation networks. Given that channel uncertainty will impact negatively not only the beamforming design but also the antenna location optimization, robust resource allocation is performed to minimize the mean squared error of transmitted messages. Block coordinate descent is adopted to decompose the formulated non-convex problem into three subproblems, which are iteratively solved until convergence. Numerical results show the benefits of FA array and the necessity of robust resource allocation under channel uncertainty. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2504_16221 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Robust Resource Allocation for Over-the-Air Computation Networks with Fluid Antenna Array Pakravan, Saeid Ahmadzadeh, Mohsen Zeng, Ming Hodtani, Ghosheh Abed Chouinard, Jean-Yves Rusch, Leslie A Signal Processing Fluid antenna (FA) array is envisioned as a promising technology for next-generation communication systems, owing to its ability to dynamically control the antenna locations. In this paper, we apply FA array to boost the performance of over-the-air computation networks. Given that channel uncertainty will impact negatively not only the beamforming design but also the antenna location optimization, robust resource allocation is performed to minimize the mean squared error of transmitted messages. Block coordinate descent is adopted to decompose the formulated non-convex problem into three subproblems, which are iteratively solved until convergence. Numerical results show the benefits of FA array and the necessity of robust resource allocation under channel uncertainty. |
| title | Robust Resource Allocation for Over-the-Air Computation Networks with Fluid Antenna Array |
| topic | Signal Processing |
| url | https://arxiv.org/abs/2504.16221 |