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Research on Network Resource Optimal Allocation Algorithm Based on Game Theory

Xiaojuan Yuan1,2,*

1 Harbin Institute of Technology, Harbin, 150001, China
2 Guilin Tourism University, Guilin, 541004, China

* Corresponding Author: Xiaojuan Yuan. Email: email

Intelligent Automation & Soft Computing 2021, 27(1), 249-257. https://doi.org/10.32604/iasc.2021.013637

Abstract

This paper briefly introduced the structure of heterogeneous cellular network and two algorithms which are used for optimizing the network resource allocation scheme: dynamic game algorithm based on spectrum allocation and the game allocation algorithm based on power allocation and alliance. After that, the two algorithms were simulated in MATLAB software and compared with another power iterative allocation algorithm based on non-cooperative game. The results showed that the system energy efficiency of the three algorithms decreased with the increase of the number of small base stations in the network; with the increase of the number of users in the network, the system energy efficiency of the three algorithms increased; under the same number of small base stations or users, the system energy efficiency of the allocation scheme based on the power allocation and alliance was the highest, followed by the power iterative allocation algorithm and the spectrum allocation based game algorithm; the allocation scheme based on power allocation and alliance could provide users with more satisfactory and fair services.

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Cite This Article

X. Yuan, "Research on network resource optimal allocation algorithm based on game theory," Intelligent Automation & Soft Computing, vol. 27, no.1, pp. 249–257, 2021.



cc This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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