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.
@article{arxiv.2409.07333,
title = {Joint Energy and SINR Coverage Probability in UAV Corridor-assisted RF-powered IoT Networks},
author = {Harris K. Armeniakos and Petros S. Bithas and Konstantinos Maliatsos and Athanasios G. Kanatas},
journal= {arXiv preprint arXiv:2409.07333},
year = {2024}
}
Comments
Single Column, Submitted to IEEE for possible publication