物联网学报2025，Vol.9Issue(3)：73-82,10.DOI:10.11959/j.issn.2096-3750.2025.00394
RIS辅助下支持无线供能的无人机边缘计算网络的能效优化机制
RIS assisted energy efficiency optimization mechanism in UAV edge computing system supporting wireless energy supply
摘要
Abstract
During the process of offloading tasks from devices to the UAVs,tall buildings can cause issues such as signal attenuation,multipath propagation,and signal blockage,thereby impacting the task offloading rate of devices.To address this challenge,the RIS was introduced to improve channel quality and enhance task offloading rates.It is worth noting that RIS operates without its own energy source and user energy resources are limited.To overcome this energy constraint,UAV employing RF signal-based energy transmission beams to recharge both devices and RIS was proposed.Secondly,an energy-efficient optimization strategy for RIS-enhanced wireless powered MEC network was proposed by jointly optimiz-ing downlink and uplink phase beamforming,UAV trajectories,and task offloading rates.Building upon this foundation,a block coordinate descent(BCD)algorithm that combines semi-definite relaxation(SDR)and successive convex approxi-mation(SCA)techniques was introduced.The extensive simulation results validate the effectiveness of the proposed opti-mization strategy in achieving a great balance between energy supply and task offloading energy consumption while meeting the task offloading requirements of ground terminals,thus enhancing the overall energy efficiency of the network.关键词
移动边缘运算/无人机通信/智能反射面/能量收集Key words
MEC/UAV communication/RIS/energy harvesting分类
信息技术与安全科学引用本文复制引用
余雪勇,宋家宁,朱洪波,张露丹,王大刚..RIS辅助下支持无线供能的无人机边缘计算网络的能效优化机制[J].物联网学报,2025,9(3):73-82,10.基金项目
国家自然科学基金资助项目(No.92067201) （No.92067201）
江苏省重点研发计划项目(No.BE2020084-4)The National Natural Science Foundation of China(No.92067201),The Jiangsu Provincial Key Research and Development Program(No.BE2020084-4) （No.BE2020084-4）
