计算机工程与应用2017，Vol.53Issue(3)：144-148,220,6.DOI:10.3778/j.issn.1002-8331.1607-0004
认知无线电网络中基于公平性的功率控制方案
Fair power control based on game theory in cognitive radio networks
摘要
Abstract
For the far-near fairness issue existing in the non-cooperative power control game algorithm, an efficient and unbiased power control algorithm via pricing is given in the uplink of a cognitive radio network where secondary users share the bandwidth with primary users. In this game model, the pricing punishment parameter setting depends on the quality of received signal to guarantee the quality of service requirement of the secondary users. The improved utility function balances the fairness and system throughput of secondary users. The existence of Nash equilibrium point for the proposed game is proven by supermodular game theory and then the iterative process for Nash equilibrium point of the transmit power is given finally. Simulation results show that the proposed game not only enhances the system throughput, reduces transmit power of secondary users, and improves the global utility, but also takes the throughput fairness for far-near secondary users into account.关键词
认知无线电网络/博弈论/功率控制/纳什均衡/公平性Key words
cognitive radio networks/game theory/power control/Nash equilibrium/fairness分类
信息技术与安全科学引用本文复制引用
王莉莉,陈国彬,张广泉..认知无线电网络中基于公平性的功率控制方案[J].计算机工程与应用,2017,53(3):144-148,220,6.基金项目
重庆市教委科学技术研究项目(No.KJ133103) （No.KJ133103）
江苏省自然科学基金(No.BK2011152) （No.BK2011152）
中国科学院计算机科学国家重点实验室开放课题(No.CSYSKF0908). （No.CSYSKF0908）
