Multi-Waveguide Pinching Antenna Placement Optimization for Rate Maximization
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arXiv
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| Hauptverfasser: | , , , , |
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| Format: | Preprint |
| Veröffentlicht: |
2025
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| _version_ | 1866914213065129984 |
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| author | Zhang, Yue Fu, Yaru Liu, Pei Liu, Yalin Hung, Kevin |
| author_facet | Zhang, Yue Fu, Yaru Liu, Pei Liu, Yalin Hung, Kevin |
| contents | Pinching antenna systems (PASS) have emerged as a technology that enables the large-scale movement of antenna elements, offering significant potential for performance gains in next-generation wireless networks. This paper investigates the problem of maximizing the average per-user data rate by optimizing the antenna placement of a multi-waveguide PASS, subject to a stringent physical minimum spacing constraint. To address this complex challenge, which involves a coupled fractional objective and a non-convex constraint, we employ the fractional programming (FP) framework to transform the non-convex rate maximization problem into a more tractable one, and devise a projected gradient ascent (PGA)-based algorithm to iteratively solve the transformed problem. Simulation results demonstrate that our proposed scheme significantly outperforms various geometric placement baselines, achieving superior per-user data rates by actively mitigating multi-user interference. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2512_18711 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Multi-Waveguide Pinching Antenna Placement Optimization for Rate Maximization Zhang, Yue Fu, Yaru Liu, Pei Liu, Yalin Hung, Kevin Signal Processing Pinching antenna systems (PASS) have emerged as a technology that enables the large-scale movement of antenna elements, offering significant potential for performance gains in next-generation wireless networks. This paper investigates the problem of maximizing the average per-user data rate by optimizing the antenna placement of a multi-waveguide PASS, subject to a stringent physical minimum spacing constraint. To address this complex challenge, which involves a coupled fractional objective and a non-convex constraint, we employ the fractional programming (FP) framework to transform the non-convex rate maximization problem into a more tractable one, and devise a projected gradient ascent (PGA)-based algorithm to iteratively solve the transformed problem. Simulation results demonstrate that our proposed scheme significantly outperforms various geometric placement baselines, achieving superior per-user data rates by actively mitigating multi-user interference. |
| title | Multi-Waveguide Pinching Antenna Placement Optimization for Rate Maximization |
| topic | Signal Processing |
| url | https://arxiv.org/abs/2512.18711 |