Technology of Network & Communication
|
544-548,560

Energy efficiency optimization scheme of IRS-MEC system based on hybrid NOMA

Zhao Yu
Tang Dong
Zhou Fasheng
Zhao Sai
Huang Gaofei
School of Electronics & Communication Engineering, Guangzhou University, Guangzhou 510006, China

Abstract

In MEC combining IRS and resource allocation strategies to improve system energy efficiency is a current hot topic of research at home and abroad. This paper aimed to maximize energy efficiency in IRS-assisted MEC system through joint optimization of the computing frequency at users, transmit power and time, and the IRS discrete phase-shift based on the transmission mode of hybrid non-orthogonal multiple access. Since the optimization process involved non-convex fractional programming problems that are difficult to solve, this paper proposed a Dinkelbach-SCA algorithm with two iterative-steps. Firstly, this paper converted the initial problem into a tractable form via Dinkelbach's method, optimization of IRS discrete phase shift by separating variables. Then, by introducing auxiliary variables, and leveraging successive convex approximation, the paper decoupled the relationship between transmit power and time while converted the non-convex problem to a convex one. Hence, the paper could obtain optimal solution. The simulation results show that the energy efficiency of the proposed system scheme is better than other comparison ones, and the energy efficiency of the system increases with the decrease of the minimum computational data amount of user 2.

Foundation Support

国家自然科学基金资助项目(61902084,61872098)
国家重点研发计划资助项目(2021YFB2012403)
广东省自然科学基金资助项目(2021A1515011812)
广州市重点创新创业平台项目(2020PT104)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2022.06.0312
Publish at: Application Research of Computers Printed Article, Vol. 40, 2023 No. 2
Section: Technology of Network & Communication
Pages: 544-548,560
Serial Number: 1001-3695(2023)02-038-0544-05

Publish History

[2022-09-21] Accepted Paper
[2023-02-05] Printed Article

Cite This Article

赵宇, 唐冬, 周发升, 等. 一种基于混合NOMA的IRS-MEC系统能量效率优化方案 [J]. 计算机应用研究, 2023, 40 (2): 544-548,560. (Zhao Yu, Tang Dong, Zhou Fasheng, et al. Energy efficiency optimization scheme of IRS-MEC system based on hybrid NOMA [J]. Application Research of Computers, 2023, 40 (2): 544-548,560. )

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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