Title: A new spectrum allocation algorithm based on game theory in cognitive radio networks

Authors: Qing He; Li Zhu; Huaqing Mao

Addresses: College of Big Data and Information Engineering, Guizhou University, Guizhou, Guiyang, 550025, China ' Oujiang College, Wenzhou University, Wenzhou 35000, China ' Oujiang College, Wenzhou University, Wenzhou 35000, China

Abstract: Cognitive radio network (CRN) is considered to be a novel network to improve the efficiency of utilising the precious natural resource: the radio electromagnetic spectrum. In this paper, we consider static game model of spectrum sharing between multiple primary users and secondary users. The spectrum dynamic pricing function of primary users and the quadratic cost function of primary users are given. The utility function is presented by pricing and cost function of primary users. Through the simulation of the static game of the primary users, the Nash equilibrium point of the price game has been found, and verified the maximum utility of the primary users at the Nash equilibrium point.

Keywords: spectrum allocation; game theory; CRN; cognitive radio networks; utility function; Nash equilibrium; dynamic pricing function; quadratic cost function.

DOI: 10.1504/IJSNET.2016.078180

International Journal of Sensor Networks, 2016 Vol.21 No.2, pp.82 - 88

Received: 17 Dec 2015
Accepted: 19 Jan 2016

Published online: 05 Aug 2016 *

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