Technical Report for A Service-Fair UAV-NOMA System for Large-scale IoT scenarios

TL;DR

This paper proposes a UAV-NOMA system for large-scale IoT scenarios, using graph theory and algorithms to ensure fair communication among sensor nodes in 5G networks.

Contribution

It introduces a novel user scheduling strategy combining graph theory and the smallest enclosing algorithm for fair sensor node communication.

Findings

Improved fairness in sensor node communication

Effective user scheduling strategy for UAV-NOMA systems

Enhanced performance in large-scale IoT deployments

Abstract

Integrating unmanned aerial vehicles (UAVs) and non-orthogonal multiple access (NOMA) technology can perform better in $5$G communication systems. To guarantee the fairness of communication services for the sensor nodes deployed in large-scale scenarios, we adopt the graph theory and the smallest enclosing algorithm to design a user scheduling strategy to select the communication sensor nodes before communication processes.