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| Main Authors: | , , |
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| Format: | Preprint |
| Published: |
2025
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2508.01771 |
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| _version_ | 1866918299202224128 |
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| author | Abuzgaia, Nagla Salem, Abdelhamid Elbarsha, Ahmed |
| author_facet | Abuzgaia, Nagla Salem, Abdelhamid Elbarsha, Ahmed |
| contents | This letter presents an innovative scheme to enhance the communication rate and energy efficiency (EE) of Unmanned Aerial Vehicle (UAV) in wireless powered communication networks (WPCNs) by deploying the emerging fluid antenna system (FAS) technology onto the UAV. Our proposed approach leverages the dynamic port switching capability of FAS, enabling the UAV to adaptively select the optimal antenna location that maximizes channel gain for both downlink wireless power transfer (WPT) and uplink wireless data transfer (WDT). We derive both exact analytical expression of the ergodic spectral rate, and asymptotic expression at high signal to noise ratio (SNR) regime under Nakagami-m correlated fading channels. The Mont-Carlo simulation results confirms the accuracy of the analytical expressions and demonstrate the substantial increase in energy efficiency of UAV with FAS compared to fixed antenna systems. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2508_01771 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | FAS Enabled UAV for Energy-Efficient WPCNs Abuzgaia, Nagla Salem, Abdelhamid Elbarsha, Ahmed Signal Processing This letter presents an innovative scheme to enhance the communication rate and energy efficiency (EE) of Unmanned Aerial Vehicle (UAV) in wireless powered communication networks (WPCNs) by deploying the emerging fluid antenna system (FAS) technology onto the UAV. Our proposed approach leverages the dynamic port switching capability of FAS, enabling the UAV to adaptively select the optimal antenna location that maximizes channel gain for both downlink wireless power transfer (WPT) and uplink wireless data transfer (WDT). We derive both exact analytical expression of the ergodic spectral rate, and asymptotic expression at high signal to noise ratio (SNR) regime under Nakagami-m correlated fading channels. The Mont-Carlo simulation results confirms the accuracy of the analytical expressions and demonstrate the substantial increase in energy efficiency of UAV with FAS compared to fixed antenna systems. |
| title | FAS Enabled UAV for Energy-Efficient WPCNs |
| topic | Signal Processing |
| url | https://arxiv.org/abs/2508.01771 |