Soft Robotics-Inspired Flexible Antenna Arrays
Fuente:
arXiv
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| Autori principali: | , , , |
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| Natura: | Preprint |
| Pubblicazione: |
2025
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| _version_ | 1866909773546389504 |
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| author | Faddoul, Elio Nicolaides, Andreas Ntougias, Konstantinos Krikidis, Ioannis |
| author_facet | Faddoul, Elio Nicolaides, Andreas Ntougias, Konstantinos Krikidis, Ioannis |
| contents | In this work, a novel soft continuum robot-inspired antenna array is proposed, featuring tentacle-like structures with multiple antenna elements. The proposed array achieves reconfigurability through continuous deformation of its geometry, in contrast to reconfigurable antennas which incur a per-element control. More specifically, the deformation is modeled by amplitude and spatial frequency parameters. We consider a multi-user multiple-input single-output downlink system, whereby the optimal deformation parameters are found to maximize the sum rate in the network. A successive convex approximation method is adopted to solve the problem. Numerical results show that the proposed deformable array significantly outperforms fixed geometry and per-element reconfigurable arrays in sum rate, demonstrating the benefits of structure-level flexibility for next-generation antenna arrays. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2507_06589 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Soft Robotics-Inspired Flexible Antenna Arrays Faddoul, Elio Nicolaides, Andreas Ntougias, Konstantinos Krikidis, Ioannis Information Theory Signal Processing In this work, a novel soft continuum robot-inspired antenna array is proposed, featuring tentacle-like structures with multiple antenna elements. The proposed array achieves reconfigurability through continuous deformation of its geometry, in contrast to reconfigurable antennas which incur a per-element control. More specifically, the deformation is modeled by amplitude and spatial frequency parameters. We consider a multi-user multiple-input single-output downlink system, whereby the optimal deformation parameters are found to maximize the sum rate in the network. A successive convex approximation method is adopted to solve the problem. Numerical results show that the proposed deformable array significantly outperforms fixed geometry and per-element reconfigurable arrays in sum rate, demonstrating the benefits of structure-level flexibility for next-generation antenna arrays. |
| title | Soft Robotics-Inspired Flexible Antenna Arrays |
| topic | Information Theory Signal Processing |
| url | https://arxiv.org/abs/2507.06589 |