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App. Res. of Comp. Accepted Paper
Vol. 41, 2024 No. 11

Priority-based multitasking offloading policy in noma-mec network

Zhao Xiaoyan1,2
Jia Libin1
Zhang Junna1,2
Li Haiwen3
Yuan Peiyan1
1. College of Computer & Information Engineering, Henan Normal University, Xinxiang Henan 453007, China
2. Engineering Lab of IntelligenceBusiness&Internet of Things, Xinxiang Henan 453007, China
3. Army Engineering University Information Engineering University, Nanjing 210007, China
DOI: 10.19734/j.issn.1001-3695.2024.02.0076

Abstract

To solve the problems of uneven resource allocation and excessive offloading cost when performing multi-task offloading 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 constructed a multidimensional task priority measurement criterion for heterogeneous task, and proposed an Analytic Hierarchy-Support 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 performs better than other algorithms in terms of task classification accuracy and average offloading cost, and also verifies the effectiveness of the proposed algorithm in terms of hit rate during the offloading of high- and low-priority tasks.

Foundation Support

国家自然科学基金资助项目(62072159,61902112)
河南省科技攻关项目(222102210011,232102211061)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2024.02.0076
Publish at: Application Research of Computers Accepted Paper, Vol. 41, 2024 No. 11

Publish History

[2024-05-22] Accepted Paper

Cite This Article

赵晓焱, 贾立滨, 张俊娜, 等. 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). (2024-09-11). https://doi.org/10.19734/j.issn.1001-3695.2024.02.0076. (Zhao Xiaoyan, Jia Libin, Zhang Junna, et al. Priority-based multitasking offloading policy in noma-mec network [J]. Application Research of Computers, 2024, 41 (11). (2024-09-11). https://doi.org/10.19734/j.issn.1001-3695.2024.02.0076. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.

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