Joint Trajectory and Resource Optimization for Delay Minimization of UAV-Enabled NOMA-MEC System With LWPT

作者：Xuecai Bao, Fugui Liu, Fenghui Zhang, Kun Yang · 发表于：IEEE Transactions on Network Science and Engineering · 年份：2025 · DOI：10.1109/tnse.2025.3638854 · 被引用次数：4 · 研究领域：UAV Applications and Optimization、Advanced Wireless Communication Technologies、IoT and Edge/Fog Computing

Unmanned aerial vehicles (UAVs) enhance mobile edge computing (MEC) coverage, but in remote emergency scenarios limited battery life and scarce spectrum exacerbate interference, link instability, and end-to-end delay. To address these issues, we propose a joint trajectory and delay-minimization framework that integrates laser-beamed wireless power transfer (LWPT) with UAV-enabled non-orthogonal multiple access (NOMA) MEC. First, we present a practical system architecture where a ground laser-powered beacon (PB) continuously recharges the UAV during flight, enabling persistent aerial patrols that concurrently offer wireless charging and computation services to ground users. Second, we formulate a unified mixed-integer nonconvex optimization problem that jointly optimizes the UAV trajectory, task offloading ratios, PB power distribution, and user-scheduling policy under energy-causality, NOMA interference, and flight-dynamics constraints. Third, to address the resulting non-convexity, we develop a hierarchical decomposition and alternating-optimization method: the original problem is decomposed into trajectory and resource-allocation subproblems and solved using convex approximations and efficient scheduling algorithms to obtain practical solutions. Fourth, extensive simulations demonstrate that the proposed LWPT-assisted NOMA UAV-MEC scheme substantially reduces total system delay while improving energy efficiency and throughput compared with conventional OMA-MEC baselines and...