Joint Energy and SINR Coverage Probability in UAV Corridor-assisted RF-powered IoT Networks
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| Main Authors: | , , , |
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| Format: | Preprint |
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2024
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| _version_ | 1866913499122237440 |
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| author | Armeniakos, Harris K. Bithas, Petros S. Maliatsos, Konstantinos Kanatas, Athanasios G. |
| author_facet | Armeniakos, Harris K. Bithas, Petros S. Maliatsos, Konstantinos Kanatas, Athanasios G. |
| contents | This letter studies the joint energy and signal-to-interference-plus-noise (SINR)-based coverage probability in Unmanned Aerial Vehicle (UAV)-assisted radio frequency (RF)-powered Internet of Things (IoT) networks. The UAVs are spatially distributed in an aerial corridor that is modeled as a one-dimensional (1D) binomial point process (BPP). By accurately capturing the line-of-sight (LoS) probability of a UAV through large-scale fading: i) an exact form expression for the energy coverage probability is derived, and ii) a tight approximation for the overall coverage performance is obtained. Among several key findings, numerical results reveal the optimal number of deployed UAV-BSs that maximizes the joint coverage probability, as well as the optimal length of the UAV corridors when designing such UAV-assisted IoT networks. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2409_07333 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Joint Energy and SINR Coverage Probability in UAV Corridor-assisted RF-powered IoT Networks Armeniakos, Harris K. Bithas, Petros S. Maliatsos, Konstantinos Kanatas, Athanasios G. Information Theory Signal Processing This letter studies the joint energy and signal-to-interference-plus-noise (SINR)-based coverage probability in Unmanned Aerial Vehicle (UAV)-assisted radio frequency (RF)-powered Internet of Things (IoT) networks. The UAVs are spatially distributed in an aerial corridor that is modeled as a one-dimensional (1D) binomial point process (BPP). By accurately capturing the line-of-sight (LoS) probability of a UAV through large-scale fading: i) an exact form expression for the energy coverage probability is derived, and ii) a tight approximation for the overall coverage performance is obtained. Among several key findings, numerical results reveal the optimal number of deployed UAV-BSs that maximizes the joint coverage probability, as well as the optimal length of the UAV corridors when designing such UAV-assisted IoT networks. |
| title | Joint Energy and SINR Coverage Probability in UAV Corridor-assisted RF-powered IoT Networks |
| topic | Information Theory Signal Processing |
| url | https://arxiv.org/abs/2409.07333 |