Optimal channel allocation in heterogeneous wireless networks based on Stackelberg game

Q4 Business, Management and Accounting

International Journal of Mobile Network Design and Innovation Pub Date : 2019-01-01 DOI:10.1504/ijmndi.2019.10029890

A. Mahmoodzadeh, H. Agahi

引用次数: 0

Abstract

Optimal channel allocation in heterogeneous wireless networks enhances the coverage of mobile networks without need to provide new hardware equipment. In this paper a method based on the user cooperation by means of the game theory for optimal channel allocation in heterogeneous wireless networks, is presented. In the proposed approach, using the Stackelberg game, operators play the role of leaders while users are considered as followers. Then, the cooperation of the users for receiving different services according to their need in unlicensed spectrum is investigated. Improvement of some performance measures such as increase in channel gain and transmission power and decrease in interference to Wi-Fi users shows that this approach can enhance the efficiency of both operators and users with respect to the number of users and Wi-Fi access points. Comparing with other cooperation methods, the effectiveness of the proposed method in the efficiency of operators and users is demonstrated.

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基于Stackelberg博弈的异构无线网络信道优化分配

异构无线网络中的信道优化分配可以在不增加新的硬件设备的情况下提高移动网络的覆盖范围。本文利用博弈论的方法，提出了一种基于用户协作的异构无线网络信道优化分配方法。在提出的方法中，使用Stackelberg游戏，运营商扮演领导者的角色，而用户被视为追随者。然后，研究了在非授权频谱中，用户根据需要接收不同业务时的合作问题。一些性能指标的改善，如信道增益和发射功率的增加以及对Wi-Fi用户干扰的减少，表明该方法可以提高运营商和用户在用户数量和Wi-Fi接入点方面的效率。通过与其他协作方法的比较，验证了该方法在提高操作者和用户效率方面的有效性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

International Journal of Mobile Network Design and Innovation Business, Management and Accounting-Management Information Systems

CiteScore

0.30

自引率

0.00%

发文量

期刊介绍： The IJMNDI addresses the state-of-the-art in computerisation for the deployment and operation of current and future wireless networks. Following the trend in many other engineering disciplines, intelligent and automatic computer software has become the critical factor for obtaining high performance network solutions that meet the objectives of both the network subscriber and operator. Characteristically, high performance and innovative techniques are required to address computationally intensive radio engineering planning problems while providing optimised solutions and knowledge which will enhance the deployment and operation of expensive wireless resources.