北京邮电大学学报

  • EI核心期刊

北京邮电大学学报 ›› 2022, Vol. 45 ›› Issue (2): 91-97.doi: 10.13190/j.jbupt.2021-204

• 论文 • 上一篇    下一篇

异构网络中任务卸载与资源分配联合优化算法

张雨晴1, 李云1, 黄鸿锐1, 庄宏成2   

  1. 1. 重庆邮电大学 通信与信息工程学院, 重庆 400065;
    2. 华为科技有限公司, 深圳 518000
  • 收稿日期:2021-09-27 发布日期:2021-12-16
  • 通讯作者: 李云(1974—),男,教授,博士生导师,邮箱:liyun@cqupt.edu.cn。 E-mail:liyun@cqupt.edu.cn
  • 作者简介:张雨晴(1998—),女,硕士生。
  • 基金资助:
    国家自然科学基金项目(62071077);重庆邮电大学博士研究生高端人才培养项目(BYJS201806)

Joint Optimization Algorithm for Task Offloading and Resource Allocation in Heterogeneous Networks

ZHANG Yuqing1, LI Yun1, HUANG Hongrui1, ZHUANG Hongcheng2   

  1. 1. School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, China;
    2. Huawei Technologies Company Limited, Shenzhen 518000, China
  • Received:2021-09-27 Published:2021-12-16

摘要: 在有限的网络边缘资源约束下,考虑到业务的多样性和网络接入的异构性对任务卸载和计算资源分配的影响,在本地和服务器共同处理任务的背景下,提出了一种异构网络场景下结合李雅普诺夫优化理论和搜索树算法对任务卸载和计算资源分配的联合优化方法,分析了卸载收益与延迟之间的折中关系,优化了任务卸载与计算资源分配。同时,为了对搜索树进行快速分支定界,设计了一种卸载优先级准则。最后,通过仿真实验验证了所提算法的有效性和合理性。

关键词: 异构网络, 移动边缘计算, 任务卸载, 资源分配

Abstract: Under the constraint of limited network edge resources, considering the impact of service diversity and network access heterogeneity on task offloading and computational resource allocation, a joint optimization algorithm for task offloading and computing power resources allocation under heterogeneous network is proposed to jointly handle local and server tasks. The proposed algorithm makes a trade-off between system revenue and task offloading delay by invoking Lyapunov theory and search tree algorithm. Furthermore, to quickly branch and bound the search tree, the offloading priority criterion is designed. Finally, the simulation results verify the effectiveness and rationality of the proposed algorithm.

Key words: heterogeneous network, mobile edge computing, task offloading, resources allocation

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