Evolutionary Game-based Spectrum Sharing Scheme in Cognitive Radio Network

Authors

Huanhuan He, 1. School of Computer Science and Engineering, Northeastern University, Shenyang 110004, China;;
Xingwei Wang, 1. School of Computer Science and Engineering, Northeastern University, Shenyang 110004, China;;2. College of Software, Northeastern University, Shenyang 110004, China;;
Huang Min, 3. School of Information Science and Engineering, Northeastern University, Shenyang 110004, China;

Abstract

Abstract: In order to solve the waste of resources caused by the static spectrum allocation policy, cognitive radio technology can be used to dynamically and efficiently manage spectrum, and spectrum sharing becomes the key issue. To make secondary users to share spectrum fairly, an evolutionary game-based spectrum sharing scheme in cognitive radio network was proposed. Because cognitive radio network was dynamic and heterogeneous, the wireless channel was unreliable and affected by environment easily, the knowledge of fuzzy mathematics was introduced to characterize the parameters related to the secondary user satisfaction degree, and the Gas Brownian Motion Optimization algorithm was used to solve the problem of spectrum access of secondary users. The fairness of spectrum sharing was considered in utility function, and the dynamic equilibrium was solved according to replicator dynamic model. Simulation results show that secondary users can get high utilities under the proposed scheme.

Recommended Citation

He, Huanhuan; Wang, Xingwei; and Min, Huang (2020) "Evolutionary Game-based Spectrum Sharing Scheme in Cognitive Radio Network," Journal of System Simulation: Vol. 28: Iss. 3, Article 34.
Available at: https://dc-china-simulation.researchcommons.org/journal/vol28/iss3/34

First Page

756

Revised Date

2014-10-24

DOI Link

https://doi.org/

Last Page

763

CLC

TP393

Recommended Citation

He Huanhuan, Wang Xingwei, Huang Min. Evolutionary Game-based Spectrum Sharing Scheme in Cognitive Radio Network[J]. Journal of System Simulation, 2016, 28(3): 756-763.