Technology of Network & Communication
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App. Res. of Comp. Printed Article
Vol. 40, 2023 No. 3
880-884,889

D2D resource allocation strategy based on clustering and Stackelberg game

Liu Huihenga,b
Xiao Yaoa,c
Cheng Xiaohonga,d
Zhang Juna,b
a. School of Physics & Electronic Engineering, b. Hubei Provincial Engineering Research Center of Emergency Communication Technology & System, c. School of Mechanical Engineering, d. Hubei Key Laboratory of Low Dimensional Optoelectronic Materials & Devices, Hubei University of Arts & Science, Xiangyang Hubei 441053, China
DOI: 10.19734/j.issn.1001-3695.2022.06.0385

Abstract

At present, there are some problems in dense vehicle communication scenarios, such as low utilization of communication resources and poor communication quality of D2D users(DUE). To solve the problems of DUE power allocation and channel matching, this research proposed a D2D resource allocation strategy based on clustering and Stackelberg game. Firstly, based on the principle of least interference between DUE in each channel, this model clustered all DUE; then, for the cellular user(CUE) and the cluster of DUE, it constructed a one-to-many Stackelberg master-slave game model. It optimized the transmission power of each DUE by iterative update of link interference parameters and intra-cluster interference parameters. Finally, it realized the optimal channel matching between clusters of DUE and CUE by the Hungarian algorithm and obtained the maximum total capacity of DUE. The simulation results show that, compared with several power allocation algorithms based on price iteration, equal power allocation and energy-efficient interference constraints, the proposed algorithm can effectively improve the total capacity of DUE.

Publish Information

DOI: 10.19734/j.issn.1001-3695.2022.06.0385
Publish at: Application Research of Computers Printed Article, Vol. 40, 2023 No. 3
Section: Technology of Network & Communication
Pages: 880-884,889
Serial Number: 1001-3695(2023)03-039-0880-05

Publish History

[2022-10-20] Accepted Paper
[2023-03-05] Printed Article

Cite This Article

刘会衡, 肖瑶, 程晓红, 等. 基于分簇和Stackelberg博弈的D2D资源分配策略 [J]. 计算机应用研究, 2023, 40 (3): 880-884,889. (Liu Huiheng, Xiao Yao, Cheng Xiaohong, et al. D2D resource allocation strategy based on clustering and Stackelberg game [J]. Application Research of Computers, 2023, 40 (3): 880-884,889. )

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  • Application Research of Computers Monthly Journal
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    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.

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