2024 06 v.29 1-10
基于反向散射无人机辅助MEC网络能耗最小化方案
基金项目(Foundation):
国家自然科学基金项目(61901366);
陕西省自然科学基础研究计划项目(2020JQ-851);
陕西省普通高校青年杰出人才支持计划项目
邮箱(Email):
DOI:
10.13682/j.issn.2095-6533.2024.06.001
中文作者单位:
西安邮电大学通信与信息工程学院;陕西省信息通信网络及安全重点实验室;爱生无人机试验测试靖边有限公司;
摘要(Abstract):
针对移动边缘计算(Mobile Edge Computing, MEC)网络中由于用户设备电池容量和任务处理能力有限导致的服务性能受限的问题，提出一种基于反向散射(Backscatter Communication, BackCom)无人机(Unmanned Aerial Vehicle, UAV)辅助MEC网络能耗最小化方案。该方案采用BackCom和主动传输混合卸载技术，建立一个包括计算资源调度和UAV轨迹的非凸优化问题，结合块坐标下降法和连续凸近似算法获取原问题的最优解。仿真结果表明，所提方案在最大限度降低能耗的同时，有效地降低了数据处理延迟，且在不同参数下均有效。
关键词(KeyWords):
移动边缘计算;无人机;反向散射通信;主动传输;块坐标下降法;连续凸近似算法
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[3] 唐冬，黄栩蔚，罗至威.无线供能智能反射面辅助移动边缘计算系统设计与优化[J].通信学报，2023,44(9):79-92.TANG D,HUANG X W,LUO Z W,et al.Design and optimization for wireless-powered IRS-aided mobile edge computing system[J].Journal on Communications,2023,44(9):79-92.(in Chinese)
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[5] TRAN D H,CHATZINOTAS S,OTTERSTEN B.Throughput maximization for backscatter and cache-assisted wireless powered UAV technology[J].IEEE Transactions on Vehicular Technology,2022,71(5):5187-5202.
[6] DU J H,WU H M,XU M X,et al.Computation energy efficiency maximization for NOMA-based and wireless-powered mobile edge computing with backscatter communication[J].IEEE Transactions on Mobile Computing,2024,23:1-16.
[7] SHI L,YE Y,ZHENG G,et al.Computational EE fairness in backscatter-assisted wireless powered MEC networks[J].IEEE Wireless Communications Letters,2021,10(5):1088-1092.
[8] HE Y J,WU X Y,HE Z,et al.Energy efficiency maximization of backscatter-assisted wireless-powered MEC with user cooperation[J].IEEE Transactions on Mobile Computing,2024,23:1-10.
[9] VAN H D,LI Y,MASARACCHIA A,et al.Optimal resource allocation for 6G UAV-enabled mobile edge computing with mission-critical applications[C]//2023 IEEE International Conference on Metaverse Computing,Networking and Applications (MetaCom).Kyoto:IEEE,2023:720-723.
[10] KUANG Z F,PAN Y H,YANG F,et al.Joint task offloading scheduling and resource allocation in air-ground cooperation UAV-enabled mobile edge computing[J].IEEE Transactions on Vehicular Technology,2024,73:1-13.
[11] ZHENG S,ZHONG X,HUANG B,et al.Research on intelligent mobile edge computing and task unloading method of UAV[C]//2023 IEEE 6th Information Technology,Networking,Electronic and Automation Control Conference (ITNEC).Chongqing:IEEE,2023:28-31.
[12] YANG Z,PAN C,WANG K,et al.Energy efficient resource allocation in UAV-enabled mobile edge computing networks[J].IEEE Transactions on Wireless Communications,2019,18(9):4576-4589.
[13] LI R,HAO W,WANG F,et al.Min-max latency optimization for intelligent reflecting surface-assisted mobile edge computing[C]//2022 IEEE 22nd International Conference on Communication Technology (ICCT).Nanjing:IEEE,2022:662-666.
[14] XU D,SUN Y,NG D.Multiuser MISO UAV communications in uncertain environments with no-fly zones:Robust trajectory and resource allocation design[J].IEEE Transactions on Communications,2020,68(5):3153-3172.
[15] ZENG Y,ZHANG R.Energy-efficient UAV communication with trajectory optimization[J].IEEE Transactions on Wireless Communications,2017,16(6):3747-3760.
[16] ALZENAD M,EI-KEYI A,LAGUN F,et al.3-D place-ment of an unmanned aerial vehicle base station (UAV-BS) for energy-efficient maximal coverage[J].IEEE Wireless Communications Letters,2017,6(4):434-437.
[17] LI D,LIANG Y C.Price-based bandwidth allocation for backscatter communication with bandwidth constraints[J].IEEE Transactions on Wireless Communications,2019,18(11):5170-5180.
[18] KANG X,LIANG Y C,YANG J.Riding on the primary:A new spectrum sharing paradigm for wireless-powered IoT devices[J].IEEE Transactions on Wireless Communications,2018,17(9):6335-6347.
[19] LU X,JIANG H,NIYATO D,et al.Wireless powered device-to-device communications with ambient backscattering:Performance modeling and analysis[J].IEEE Transactions on Wireless Communications,2018,17(3):1528-1544.
[20] ZHANG W W,WEN Y G,GUAN K,et al.Energy-optimal mobile cloud computing under stochastic wirelesschannel[J].IEEE Transactions on Wireless Communications,2013,12(9):4589-4581.
[21] YANG G,DAI R ,LIANG Y C.Energy-efficient UAV backscatter communication with joint trajectory design and resource optimization[J].IEEE Transactions on Wireless Communications,2021,20(2):926-941.
基本信息:
DOI：10.13682/j.issn.2095-6533.2024.06.001
中图分类号:V279;TN929.5
引用信息:
[1]刘伯阳,党儒鸽,王丽平等.基于反向散射无人机辅助MEC网络能耗最小化方案[J].西安邮电大学学报,2024,29(06):1-10.DOI:10.13682/j.issn.2095-6533.2024.06.001.
基金信息:
国家自然科学基金项目(61901366); 陕西省自然科学基础研究计划项目(2020JQ-851); 陕西省普通高校青年杰出人才支持计划项目