Work

Joint Energy and SINR Coverage Probability in UAV Corridor-Assisted RF-Powered IoT Networks

Year: 2024

Type: article

Abstract: 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.

Source: IEEE Communications Letters

DOI: 10.1109/lcomm.2024.3476936

Authors: Harris K. Armeniakos, Petros S. Bithas, Konstantinos Maliatsos, Athanasios G. Kanatas

Institutions: University of Piraeus, National and Kapodistrian University of Athens, University of the Aegean

Language: English

Topic: UAV Applications and Optimization

Subfield: Aerospace Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: green

Funders: University of Piraeus Research Centre, HORIZON EUROPE Framework Programme