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Technology of Network & Communication
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App. Res. of Comp. Printed Article
Vol. 38, 2021 No. 5
1498-1502

Multi-user cellular network power allocation based on deep double Q network

Wang Weia
Yin Shuangshuangb
a. Foundation Dept. , b. School of Electronic & Information Engineering, Liaoning Technical University, Huludao Liaoning 125105, China
DOI: 10.19734/j.issn.1001-3695.2020.07.0184

Abstract

In view of the weak generalization ability and low efficiency of the existing cellular network power allocation algorithm, this paper proposed the power allocation algorithm based on the deep double Q network. It adopted the dual neural network structure to solve the problem of dimensional disasters and value function overestimation that were easy to occur in the reinforcement learning process. It designed the state information and inputted it to the neural network, outputted the action behavior of the agent, and designed the reward function to feed back to the neural network to make the agent can effectively learn independently and obtain the optimal power allocation strategy through multiple iterations. The simulation results show that the average speed that the proposed model can obtain is 1.89, and the average running time is 0.001 3 s. The highest average speed can be reached under different user densities and cell numbers, which verifies the effectiveness of the algorithm. The problem of network resource allocation provides new ideas.

Foundation Support

国家自然科学基金青年基金资助项目(61701211,61806186)
福建省智能物流产业技术研究院建设项目(2018H2001)
机器人与系统国家重点实验室(HIT)项目(SKLRS-2019-KF-15)
辽宁省教育厅科学技术研究项目(LJCL008)
泉州市科技计资助划项目(2019C112,2019C011R,2019STS08)
新兴产业集成化检验检测服务平台研发与应用项目(2018YFB1403303)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2020.07.0184
Publish at: Application Research of Computers Printed Article, Vol. 38, 2021 No. 5
Section: Technology of Network & Communication
Pages: 1498-1502
Serial Number: 1001-3695(2021)05-040-1498-05

Publish History

[2021-05-05] Printed Article

Cite This Article

王伟, 殷爽爽. 基于深度双Q网络的多用户蜂窝网络功率分配算法研究 [J]. 计算机应用研究, 2021, 38 (5): 1498-1502. (Wang Wei, Yin Shuangshuang. Multi-user cellular network power allocation based on deep double Q network [J]. Application Research of Computers, 2021, 38 (5): 1498-1502. )

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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