现代电子技术2016，Vol.39Issue(11)：24-29,6.DOI:10.16652/j.issn.1004-373x.2016.11.007
双向拍卖结合贝叶斯模型的认知无线电网络频谱共享方案
Cognitive radio network spectrum sharing scheme for double auction combining Bayesian model
摘要
Abstract
Since the spectrum resource in radio networks is limited and its utilization is low,a spectrum sharing algorithm for double auction combining Bayesian inference model is proposed. Firstly,the primary users and the secondary users adaptive⁃ly select their auction prices to share the spectrum bands. And then,based on feedback learning process,the players capture their adjustable price strategies. Finally,the auction process is repeated until the consensus is reached. The algorithm adopts Bayesian inference technique,which can adaptively response to the constantly changing system environment and players′ quanti⁃ty. It has better scalability. The simulation results show that the proposed algorithm is superior to several other advanced spec⁃trum sharing algorithms in the aspects of PU benefit,trade success rate,spectrum efficiency and network throughput.关键词
贝叶斯模型/分布式方式/双向拍卖/认知无线电网络/频谱共享Key words
Bayesian model/distributed mode/double auction/cognitive radio network/spectrum sharing分类
信息技术与安全科学引用本文复制引用
戴冬,王果,王磊..双向拍卖结合贝叶斯模型的认知无线电网络频谱共享方案[J].现代电子技术,2016,39(11):24-29,6.基金项目
国家自然科学基金重大项目（91218301）；河南省高等学校重点科研项目 （）
