Robust Resource Allocation for Pinching-Antenna Systems under Imperfect CSI
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| Main Authors: | , , , , , |
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| Format: | Preprint |
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2025
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| _version_ | 1866909692410724352 |
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| author | Zeng, Ming Wang, Xianbin Liu, Yuanwei Ding, Zhiguo Karagiannidis, George K. Poor, H. Vincent |
| author_facet | Zeng, Ming Wang, Xianbin Liu, Yuanwei Ding, Zhiguo Karagiannidis, George K. Poor, H. Vincent |
| contents | Pinching-antenna technology has lately showcased its promising capability for reconfiguring wireless propagation environments, especially in high-frequency communication systems like millimeter-wave and terahertz bands. By dynamically placing the antenna over a dielectric waveguide, line-of-sight (LoS) connections can be made to significantly improve system performance. Although recent research have illustrated the advantages of pinching-antenna-assisted designs, they mainly presuppose complete knowledge of user locations -- an impractical assumption in real-world systems. To address this issue, the robust resource allocation in a multi-user pinching antenna downlink system with uncertain user positions is investigated, aiming to minimize total transmit power while satisfying individual outage probability constraints. First, we address the single-user case, deriving the optimal pinching antenna position and obtaining the corresponding power allocation using a bisection method combined with geometric analysis. We then extend this solution to the multi-user case. In this case, we optimize the pinching antenna position using a particle swarm optimization (PSO) algorithm to handle the resulting non-convex and non-differentiable optimization problem. Simulation results demonstrate that the proposed scheme outperforms conventional fixed-antenna systems and validate the effectiveness of the PSO-based antenna placement strategy under location uncertainty. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2507_12582 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Robust Resource Allocation for Pinching-Antenna Systems under Imperfect CSI Zeng, Ming Wang, Xianbin Liu, Yuanwei Ding, Zhiguo Karagiannidis, George K. Poor, H. Vincent Information Theory Signal Processing Pinching-antenna technology has lately showcased its promising capability for reconfiguring wireless propagation environments, especially in high-frequency communication systems like millimeter-wave and terahertz bands. By dynamically placing the antenna over a dielectric waveguide, line-of-sight (LoS) connections can be made to significantly improve system performance. Although recent research have illustrated the advantages of pinching-antenna-assisted designs, they mainly presuppose complete knowledge of user locations -- an impractical assumption in real-world systems. To address this issue, the robust resource allocation in a multi-user pinching antenna downlink system with uncertain user positions is investigated, aiming to minimize total transmit power while satisfying individual outage probability constraints. First, we address the single-user case, deriving the optimal pinching antenna position and obtaining the corresponding power allocation using a bisection method combined with geometric analysis. We then extend this solution to the multi-user case. In this case, we optimize the pinching antenna position using a particle swarm optimization (PSO) algorithm to handle the resulting non-convex and non-differentiable optimization problem. Simulation results demonstrate that the proposed scheme outperforms conventional fixed-antenna systems and validate the effectiveness of the PSO-based antenna placement strategy under location uncertainty. |
| title | Robust Resource Allocation for Pinching-Antenna Systems under Imperfect CSI |
| topic | Information Theory Signal Processing |
| url | https://arxiv.org/abs/2507.12582 |