Joint Energy and SINR Coverage Probability in UAV Corridor-assisted RF-powered IoT Networks

Autor:	Armeniakos, Harris K., Bithas, Petros S., Maliatsos, Konstantinos, Kanatas, Athanasios G.
Rok vydání:	2024
Předmět:	Computer Science - Information Theory Electrical Engineering and Systems Science - Signal Processing
Druh dokumentu:	Working Paper
Popis:	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. Comment: Single Column, Submitted to IEEE for possible publication
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2409.07333 Zobrazit plný text záznamu View this record from Arxiv