北京邮电大学学报

  • EI核心期刊

北京邮电大学学报 ›› 2024, Vol. 47 ›› Issue (1): 25-30.

• 无线通信技术 • 上一篇    下一篇

移动边缘计算使能的星地网络D2D辅助任务卸载

佟明磊1,2,李松3,王晓湘1,2   

  1. 1. 北京邮电大学 信息与通信工程学院 2. 北京邮电大学 泛网无线通信教育部重点实验室 3. 中国矿业大学
  • 收稿日期:2022-12-09 修回日期:2023-01-29 出版日期:2024-02-26 发布日期:2024-02-26
  • 通讯作者: 王晓湘 E-mail:cpwang@bupt.edu.cn

D2D-Assisted Task Offloading in Mobile Edge Computing-Enabled Satellite-Terrestrial Networks

TONG Minglei1,2, LI Song3, WANG Xiaoxiang1,2   

  • Received:2022-12-09 Revised:2023-01-29 Online:2024-02-26 Published:2024-02-26

摘要: 针对地面设备计算资源未得到有效利用的问题,研究了移动边缘计算使能的星地网络中设备到设备( D2D)辅助任务卸载。建模了最大化所有用户设备、服务设备和低轨道地球卫星的效用的问题,并将其分解为任务卸载比例优化子问题和任务卸载决策子问题。通过理论推导分别得到了 D2D 卸载和移动边缘计算卸载的最优任务卸载比例的解析解,并设计了一种基于匹配博弈的任务卸载决策算法,提出了一种任务卸载比例和任务卸载决策联合优化方案。仿真结果证明,与参考方案相比,所提方案具有更好的性能。

关键词: 移动边缘计算, 星地网络, 设备到设备, 任务卸载

Abstract: To solve the problem that the computing resources of ground equipment are not utilized effectively, the device-to-device ( D2D ) assisted task offloading in mobile edge computing-enabled satellite-terrestrial networks is studied. The utility maximization problem for all user equipment, service equipment, and the low earth orbit satellite is modeled and decomposed into two sub-problems, which are task offloading ratio optimization sub-problem and task offloading decision sub-problem. The analytical solution of the optimal task offloading ratio of D2D offloading problem and mobile edge computing offloading problem is obtained by the theoretical derivation, respectively. Besides, a matching game-based task offloading decision algorithm is designed and a joint optimization scheme of task offloading ratio and task offloading decision is proposed. The simulation results demonstrate that the proposed scheme has better performance than the reference schemes.

Key words: mobile edge computing, satellite-terrestrial networks, device-to-device, task offloading

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