期刊文献+

基于竞价模型的频谱分配算法 被引量:1

Spectrum allocation algorithm based on bidding model
在线阅读 下载PDF
导出
摘要 为解决认知无线网络中授权用户和认知用户的频谱共享问题,通过研究认知用户对主用户的影响和认知用户的竞价行为,引入干扰价格以及切换代价,设计认知用户的效用函数,建立相应的频谱竞价拍卖模型,通过纳什均衡理论分析该模型的稳定性,提出一种基于竞价模型的动态频谱分配算法。理论分析和仿真验证了该算法保证了认知用户的业务带宽需求,不连续的频谱得到了有效使用,提高了频谱的使用效率。 To deal with the present situation of the dynamic spectrum allocation,a dynamic spectrum allocation algorithm based on bidding model was proposed.Aiming at researching the bidding behavior of cognitive users and how cognitive users influence the primary use by introducing interference price and switching cost and designing utility function of cognitive users.According to auction theory,corresponding spectrum auction model was established and the stability of the model was analyzed through Nash equilibrium.Theoretical analysis and simulation results verify that the algorithm guarantees the bandwidth of cognitive users' business requirements,and discontinuous spectrums are effectively used,the use efficiency of spectrum was improved.
出处 《计算机工程与设计》 北大核心 2015年第11期2906-2909,2930,共5页 Computer Engineering and Design
基金 国家自然科学基金项目(61163055) 江西省研究生创新专项基金项目(YC2014-X004)
关键词 竞价模型 频谱分配 效用函数 切换代价 干扰代价 bidding model spectrum allocation utility function switching cost interference cost
作者简介 刘觉夫(1963-),男,湖南平江人,硕士,教授,研究方向为认知无线网络、信息安全; 杨将(1990-),男,湖南岳阳人,硕研究方向为认知无线网络、软件开发; 朱丙虎(1988-),男,山东菏泽人,硕士研究生,研究方向为认知无线网络; 胡静女,陕西咸阳人,硕士研究生,研究方向为认知无线网络、软件开发。E-mail:yangj0917@163.com.
  • 相关文献

参考文献2

二级参考文献23

  • 1HAYKIN S. Cognitive radio:brain-empowered wireless communications[J]. IEEE Journal on Selected Areas in Communications, 2005, 23(2):201-220.
  • 2NEEL J, REED J H, GILLS R P. The role of game theory in the analysis of software radio networks[A]. SDR Forum Technical Conference[C]. November, 2002.
  • 3ETKIN R, PAREKH A. Spectrum sharing for unlicensed bands[J]. IEEE. Journal on Selected Areas In Communications, 2007,25(3): 517-528.
  • 4SUN J, MODIANO E, ZHENG L. Wireless channel allocation using an auction algorithm[J].IEEE Journal on Selected Areas in Communications, 2006, 24(5): 1085-1096.
  • 5DRAMITINOS M, STAMOULIS G, COURCOUBETIS C. Auction-based resource reservation in 2.5/3G networks[J]. Mobile Networks and Applications, December 2004, 9(6): 557-566.
  • 6HUANG J, HAN Z, CHIANG M, et al. Auction-based resource allocation for cooperative communications[J]. IEEE Journal on Selected Areas in Communications, September 2008, 26(7): 1226-1247.
  • 7NIYATO D, HOSSAIN E. Optimal price competition for spectrum sharing in cognitive radio: a dynamic game-theoretic approach[A]. IEEE GLOBECOM'04[C]. 2007.4625-4629.
  • 8NIYATO D, HOSSAIN E. Competitive pricing for spectrum sharing in cognitive radio networks: dynamic game, inefficiency of Nash equilibrium, and collision[J]. IEEE Journal on Selected Areas in Communications, Jan.2008, 26(1):192-202.
  • 9WANG X B, LI Z, XU P C, et al. Spectrum sharing in cognitive radio networks-an auction based approach[J]. IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics, 2010, 40(3): 587-596.
  • 10FUDENBERG D, TIROLE J. Game Theory[M]. The MIT Press, 1991.

共引文献17

同被引文献6

引证文献1

二级引证文献4

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部