Joint Energy and SINR Coverage Probability in UAV Corridor-assisted RF-powered IoT Networks
<|reference_start|>Joint Energy and SINR Coverage Probability in UAV Corridor-assisted RF-powered IoT Networks: 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.<|reference_end|>
@article{armeniakos2024joint,
    title={Joint Energy and SINR Coverage Probability in UAV Corridor-assisted
  RF-powered IoT Networks},
    author={Harris K. Armeniakos, Petros S. Bithas, Konstantinos Maliatsos and
  Athanasios G. Kanatas},
    journal={arXiv preprint arXiv:2409.07333},
    year={2024},
    archivePrefix={arXiv},
    eprint={2409.07333},
    primaryClass={cs.IT eess.SP math.IT}
}