Title
A new spectrum allocation algorithm based on game theory in cognitive radio networks
Abstract
AbstractCognitive 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.
Year
DOI
Venue
2016
10.1504/IJSNET.2016.078180
Periodicals
Keywords
Field
DocType
spectrum allocation algorithm, game theory, CRN, cognitive radio network, utility function, Nash equilibrium
Electromagnetic spectrum,Mathematical optimization,Minimax,Computer science,Price of stability,Dynamic pricing,Computer network,Game theory,Frequency allocation,Nash equilibrium,Cognitive radio
Journal
Volume
Issue
ISSN
21
2
1748-1279
Citations 
PageRank 
References 
1
0.35
11
Authors
3
Name
Order
Citations
PageRank
Qing He110.35
Li Zhu210.35
Huaqing Mao330.74