Extracting the Most Weighted Throughput in UAV Empowered Wireless Systems With Nonlinear Energy Harvester

TL;DR

This paper proposes an algorithm to maximize weighted throughput in UAV-powered wireless systems by integrating radio energy harvesting and advanced coding techniques, verified through numerical simulations.

Contribution

It introduces a novel algorithm combining dirty paper coding and channel duality to optimize throughput in UAV energy-harvesting wireless networks.

Findings

The proposed algorithm effectively maximizes weighted throughput.

Numerical results confirm the algorithm's efficiency.

Energy harvesting extends UAV base station lifetime.

Abstract

With the maturity of unmanned aerial vehicle (UAV) technology, this work investigates the integration of UAV into wireless communication systems. Since the UAV is powered by a capacity-limited battery, this work proposes to use the radio energy harvesting technology at the UAV in order to extend the lifetime of UAV empowered base station. To extract the most weighted throughput of UAV empowered wireless systems, the dirty paper coding scheme and information-theoretic uplink-downlink channel duality are exploited to propose an extracting the most weighted throughput algorithm. Numerical results are used to verify the proposed algorithm.