计算机应用研究2024，Vol.41Issue(11)：3433-3440,8.DOI:10.19734/j.issn.1001-3695.2024.02.0076
NOMA-MEC网络中基于优先级的多任务卸载策略
Priority-based multitasking offloading policy in NOMA-MEC network
摘要
Abstract
To solve the problems of uneven resource allocation and excessive offloading cost when performing multi-task off-loading in NOMA-MEC networks,this paper proposed a partial offloading strategy based on task priority for NOMA-assisted edge offloading networks in ultra-dense heterogeneous scenarios,taking into account the heterogeneous nature of the tasks and the dynamic time-varying nature of the network environment,with the goal of minimizing the average offloading cost.Firstly,to fully utilize the resources,it used the closed solution of the offloading ratio using a binary approach and decoupled into two subproblems:task priority partitioning and channel resource allocation problem based on server selection.Secondly,it con-structed a multidimensional task priority measurement criterion for heterogeneous task,and proposed an analytic hierarchy-sup-port vector machine(AH-SVM)task classification method based on hierarchical analysis to achieve task priority classification by assigning weight values to different task features.Finally,it proposed a NOMA channel gain deep double Q network(NCG-DDQN)algorithm for channel resource allocation and optimal offloading location to minimize the average offloading cost of users,considering the channel quality in dynamic environment.The simulation results show that the proposed algorithm per-forms better than other algorithms in terms of task classification accuracy and average offloading cost,and also verify the effec-tiveness of the proposed algorithm in terms of hit rate for offloading both high-and low-priority tasks.关键词
边缘计算/强化学习/资源分配/任务卸载/非正交多址接入/任务优先级Key words
edge computing/reinforcement learning/resource allocation/task offloading/NOMA/task priority分类
信息技术与安全科学引用本文复制引用
赵晓焱,贾立滨,张俊娜,李海文,袁培燕..NOMA-MEC网络中基于优先级的多任务卸载策略[J].计算机应用研究,2024,41(11):3433-3440,8.基金项目
国家自然科学基金资助项目(62072159,61902112) （62072159,61902112）
河南省科技攻关资助项目(222102210011,232102211061) （222102210011,232102211061）
