Technology of Network & Communication
|
1521-1526

Computation offloading and allocation strategy for cell-free massive MIMO-enabled mobile edge computing systems

Li Shiwei
Tan Fangqing
Guangxi Key Laboratory of Wireless Wideband Communication and Signal Processing, Guilin University of Electronic Technology, Guilin Guangxi 541004, China

Abstract

Emerging network architectures and technical service requirements for B5G and 6G will enable MEC with CFmMIMO, helping to handle compute-intensive and latency-sensitive tasks in distributed IoT. For CF-mMIMO-assisted MEC systems, this paper aimed to minimize the delay in completing computational tasks of different task types under energy constraint. In order to solve the above goals, this paper designed a task offloading strategy based on UEs, multiple APs and CPU(central processing unit) for cloud-edge-end collaboration. Specifically, according to the different data types of each UE and AP service, this paper firstly used the convex optimization and graph matching methods to alternately iterate to optimize the offload association and task ratio. Then, under the limitation of the backhaul link, this paper used an improved binary whale optimization algorithm to further offload the tasks of unallocated terminals and associated access points to the cloud with efficient processing. Compared with other meta-heuristics such as ant colony optimization algorithm and hybrid gray wolf optimization algorithm, the proposed algorithm has better performance on discrete offload optimization problems, which can provide a good offload optimization strategy for distributed systems and greatly reduce the average delay of the whole network.

Foundation Support

国家自然科学基金资助项目(62261013)
广西无线宽带通信与信号处理重点实验室2022年主任基金资助项目(GXKL06220104)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2023.09.0417
Publish at: Application Research of Computers Printed Article, Vol. 41, 2024 No. 5
Section: Technology of Network & Communication
Pages: 1521-1526
Serial Number: 1001-3695(2024)05-034-1521-06

Publish History

[2023-11-29] Accepted Paper
[2024-05-05] Printed Article

Cite This Article

李世维, 谭方青. 去蜂窝大规模MIMO辅助的移动边缘计算系统计算任务卸载与分配策略 [J]. 计算机应用研究, 2024, 41 (5): 1521-1526. (Li Shiwei, Tan Fangqing. Computation offloading and allocation strategy for cell-free massive MIMO-enabled mobile edge computing systems [J]. Application Research of Computers, 2024, 41 (5): 1521-1526. )

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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