Completion Time Minimization in Wireless-Powered UAV-Assisted Data Collection System (Full Version)

TL;DR

This paper proposes an iterative optimization algorithm to minimize UAV data collection time by jointly optimizing UAV trajectory and transmission scheduling in wireless-powered UAV-assisted systems.

Contribution

It introduces a novel iterative algorithm combining binary search and successive convex optimization for joint trajectory and scheduling optimization.

Findings

Proposed algorithm outperforms benchmark methods in simulations.

Joint optimization significantly reduces total collection time.

Effective solution for complex MINLP problem in UAV data collection.

Abstract

In unmanned aerial vehicle (UAV)-assisted data collection system, UAVs can be deployed to charge ground terminals (GTs) via wireless power transfer (WPT) and collect data from them via wireless information transmission (WIT). In this paper, we aim to minimize the time required by a UAV via jointly optimizing the trajectory of the UAV and the transmission scheduling for all the GTs. This problem is formulated as a mixed integer nonlinear programming (MINLP) which are difficult to address in general. To this end, we develop an iterative algorithm based on binary search and successive convex optimization (SCO) to solve it. The simulation shows that our proposed solution outperforms the benchmark algorithms.