Title: Optimal channel allocation in heterogeneous wireless networks based on Stackelberg game

Authors: Azar Mahmoodzadeh; Hamed Agahi

Addresses: Department of Electrical Engineering, Shiraz Branch, Islamic Azad University, Shiraz, 71987-74731, Iran ' Department of Electrical Engineering, Shiraz Branch, Islamic Azad University, Shiraz, 71987-74731, Iran

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.

Keywords: game theory; Stackelberg game; optimal channel allocation; heterogeneous wireless networks; user cooperation; leaders; followers; channel gain; transmission power; Wi-Fi access points.

DOI: 10.1504/IJMNDI.2019.107706

International Journal of Mobile Network Design and Innovation, 2019 Vol.9 No.3/4, pp.134 - 141

Received: 30 Jan 2020
Accepted: 08 Mar 2020
Published online: 09 Jun 2020 *

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