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受限回程链路下无人机辅助MEC的空地能耗折中

李安 窦邵婷

华中科技大学学报(自然科学版)2024,Vol.52Issue(3):142-148,7.
华中科技大学学报(自然科学版)2024,Vol.52Issue(3):142-148,7.DOI:10.13245/j.hust.240073

受限回程链路下无人机辅助MEC的空地能耗折中

Air-ground energy tradeoff for UAV-assisted mobile edge computing under constraint backhaul

李安 1窦邵婷1

作者信息

  • 1. 南昌大学信息工程学院,江西 南昌 330031
  • 折叠

摘要

Abstract

Aiming at the contradiction between UAV energy consumption and ground user energy consumption in UAV assisted mobile edge computing(MEC)network,the air ground energy consumption tradeoff problem of UAV assisted MEC network under restricted backhaul link was studied.At the same time,considering that the energy consumption of UAV is usually several orders of magnitude different from that of ground user,an amplification factor was introduced to take account of ground user energy consumption.Our objective is to minimize the weighted total energy consumption by joint optimization of the task bit division,GU transmission power,GU offloading time,and UAV trajectory,and the trade-off between air and ground energy consumption can be represented.To solve the formulated highly non-convex problem,a two-stage alternating iterative optimization algorithm based on block coordinate descent algorithm and successive convex approximation technique was used to obtain a suboptimal solution.Simulation results show that the proposed scheme characterize the trade-off between aerial energy consumption and that of ground users under the premise of ensuring fairness,and outperforms other benchmark schemes in terms of reducing the total energy consumption.

关键词

无人机辅助的移动边缘计算/受限回程链路/空地能耗折中/计算资源分配/轨迹优化

Key words

UAV-assisted mobile edge computing/constraint backhaul/air-ground energy trade-off/computing resource allocation/trajectory optimization

分类

信息技术与安全科学

引用本文复制引用

李安,窦邵婷..受限回程链路下无人机辅助MEC的空地能耗折中[J].华中科技大学学报(自然科学版),2024,52(3):142-148,7.

基金项目

江西省03专项及5G资助项目(20204ABC03A05,20204ABC03A37) (20204ABC03A05,20204ABC03A37)

江西省研究生创新专项资金资助项目(YC2020-S105). (YC2020-S105)

华中科技大学学报(自然科学版)

OA北大核心CSTPCD

1671-4512

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