Low-Complexity Algorithm for Outage Optimal Resource Allocation in Energy Harvesting-Based UAV Identification Networks

TL;DR

This paper proposes a low-complexity, fast-converging algorithm for optimal resource allocation in energy harvesting UAV identification networks, improving outage performance in high-mobility scenarios.

Contribution

It introduces a novel algorithm for joint time and bandwidth allocation that outperforms traditional methods in UAV energy harvesting networks.

Findings

The algorithm achieves near-optimal outage performance.

It converges faster than conventional bisection algorithms.

The method is effective in high-mobility UAV environments.

Abstract

We study an unmanned aerial vehicle (UAV) identification network equipped with an energy harvesting (EH) technique. In the network, the UAVs harvest energy through radio frequency (RF) signals transmitted from ground control stations (GCSs) and then transmit their identification information to the ground receiver station (GRS). Specifically, we first derive a closed-form expression of the outage probability to evaluate the network performance. Then we obtain the closed-form expression of the optimal time allocation when the bandwidth is equally allocated to the UAVs. We also propose a fast-converging algorithm for time and the bandwidth allocation, which is necessary for the UAV environment with high mobility, to optimize the outage performance of EH-based UAV identification network. Simulation results show that the proposed algorithm outperforms the conventional bisection algorithm and achieves near-optimal performance.