Real-time Optimal Resource Allocation for Embedded UAV Communication Systems

TL;DR

This paper presents a real-time resource allocation algorithm for UAV-assisted D2D communication systems that optimizes energy efficiency by jointly managing energy harvesting and power control, suitable for embedded UAV applications.

Contribution

It introduces a novel real-time algorithm for joint energy harvesting and power control in UAV-based D2D systems, enabling fast and efficient energy management.

Findings

Algorithm runs in milliseconds, enabling real-time application.

Significant improvement in energy efficiency demonstrated.

Effective management of UAV energy consumption in D2D systems.

Abstract

We consider device-to-device (D2D) wireless information and power transfer systems using an unmanned aerial vehicle (UAV) as a relay-assisted node. As the energy capacity and flight time of UAVs is limited, a significant issue in deploying UAV is to manage energy consumption in real-time application, which is proportional to the UAV transmit power. To tackle this important issue, we develop a real-time resource allocation algorithm for maximizing the energy efficiency by jointly optimizing the energy-harvesting time and power control for the considered (D2D) communication embedded with UAV. We demonstrate the effectiveness of the proposed algorithms as running time for solving them can be conducted in milliseconds.