GREENSKY:A fair energy-aware optimization model for UAVs in next-generation wireless networks  

作　　者：Pratik Thantharate Anurag Thantharate Atul Kulkarni 

机构地区：[1]School of Computing and Engineering,University of Missouri,Kansas City,MO,USA

出　　处：《Green Energy and Intelligent Transportation》2024年第1期16-24,共9页新能源与智能载运（英文）

摘　　要：Unmanned Aerial Vehicles(UAVs)offer a strategic solution to address the increasing demand for cellular connectivity in rural,remote,and disaster-hit regions lacking traditional infrastructure.However,UAVs’limited onboard energy storage necessitates optimized,energy-efficient communication strategies and intelligent energy expenditure to maximize productivity.This work proposes a novel joint optimization model to coordinate charging operations across multiple UAVs functioning as aerial base stations.The model optimizes charging station assignments and trajectories to maximize UAV flight time and minimize overall energy expenditure.By leveraging both static ground base stations and mobile supercharging stations for opportunistic charging while considering battery chemistry constraints,the mixed integer linear programming approach reduces energy usage by 9.1%versus conventional greedy heuristics.The key results provide insights into separating charging strategies based on UAV mobility patterns,fully utilizing all available infrastructure through balanced distribution,and strategically leveraging existing base stations before deploying dedicated charging assets.Compared to myopic localized decisions,the globally optimized solution extends battery life and enhances productivity.Overall,this work marks a significant advance in UAV energy management by consolidating multiple improvements within a unified coordination framework focused on joint charging optimization across UAV fleets.The model lays a critical foundation for energy-efficient aerial network deployments to serve the connectivity needs of the future.

关 键 词：5G new radio Unmanned aerial vehicles(UAV) UAV battery life Energy efficiency Unmanned aircraft systems(UAS)UAV scheduling Cellular networks Linear programming Joint UAV charging optimization 

分 类 号：V279[航空宇航科学与技术—飞行器设计]