Lossy Cooperative UAV Relaying Networks: Outage Probability Analysis and Location Optimization
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arXiv
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| Autori principali: | , , , , , |
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| Natura: | Preprint |
| Pubblicazione: |
2024
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| Soggetti: | |
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| _version_ | 1866913528923815936 |
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| author | Lian, Ya Lin, Wensheng Li, Lixin Yang, Fucheng Han, Zhu Matsumoto, Tad |
| author_facet | Lian, Ya Lin, Wensheng Li, Lixin Yang, Fucheng Han, Zhu Matsumoto, Tad |
| contents | In this paper, performance of a lossy cooperative unmanned aerial vehicle (UAV) relay communication system is analyzed. In this system, the UAV relay adopts lossy forward (LF) strategy and the receiver has certain distortion requirements for the received information. For the system described above, we first derive the achievable rate distortion region of the system. Then, on the basis of the region analysis, the system outage probability when the channel suffers Nakagami-$m$ fading is analyzed. Finally, we design an optimal relay position identification algorithm based on the Soft Actor-Critic (SAC) algorithm, which determines the optimal UAV position to minimize the outage probability. The simulation results show that the proposed algorithm can optimize the UAV position and reduce the system outage probability effectively. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2410_02120 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Lossy Cooperative UAV Relaying Networks: Outage Probability Analysis and Location Optimization Lian, Ya Lin, Wensheng Li, Lixin Yang, Fucheng Han, Zhu Matsumoto, Tad Networking and Internet Architecture Machine Learning Systems and Control In this paper, performance of a lossy cooperative unmanned aerial vehicle (UAV) relay communication system is analyzed. In this system, the UAV relay adopts lossy forward (LF) strategy and the receiver has certain distortion requirements for the received information. For the system described above, we first derive the achievable rate distortion region of the system. Then, on the basis of the region analysis, the system outage probability when the channel suffers Nakagami-$m$ fading is analyzed. Finally, we design an optimal relay position identification algorithm based on the Soft Actor-Critic (SAC) algorithm, which determines the optimal UAV position to minimize the outage probability. The simulation results show that the proposed algorithm can optimize the UAV position and reduce the system outage probability effectively. |
| title | Lossy Cooperative UAV Relaying Networks: Outage Probability Analysis and Location Optimization |
| topic | Networking and Internet Architecture Machine Learning Systems and Control |
| url | https://arxiv.org/abs/2410.02120 |