期刊文献+

一种基于逢低买入的频谱分配机制

Spectrum allocation mechanism based on group buying
下载PDF
导出
摘要 针对认知无线电系统中主次用户频谱共享问题,提出了一种基于逢低买入的频谱分配机制。本机制在传统的拍卖中引入了次用户的合作关系,建立了相应的基于逢低买入的合作竞拍分配模型。该机制合理地处理了主用户和次用户及次用户和次用户之间的利益关系;利用蜂群算法实现频谱最优价格的快速求解。仿真结果表明,该机制能够在提高主用户频谱收益的同时使次用户能够以较低价格获得频谱的接入,从而提高系统的频谱使用效率以及次用户接入频谱的公平性,具有良好的应用前景。 Abstract: This paper proposed a novel cognitive radio spectrum sharing scheme, which based on the tradition auction model and group buying auction. Collusion competition model was developed and realized by introducing collusion relationship to competition of secondary users and adopting the group buying auction theory. The mechanism dealt with the relationship be- tween the primary user and the secondary users or the secondary users themselves in cognitive radio networks. It achieved the fast solution of spectrum' s optimal price by artificial bee colony optimization algorithm. Simulation results show that the mech- anism is able to improve the spectrum auction revenue of primary user while the secondary users can get the opportunities to ac- cess the idle spectrum. As a result, the mechanism enhances the efficiency of spectrum utilization in system as well as the fair- ness of secondary users access the spectrum, and it has a favorable application prospect.
出处 《计算机应用研究》 CSCD 北大核心 2014年第2期492-495,共4页 Application Research of Computers
基金 国家自然科学基金资助项目(61102062 61271260) 国家教育部科学技术研究重点资助项目(212145) 重庆市科委自然科学基金资助项目(cstc2011jjA1192) 重庆市教委科学技术研究资助项目(KJ110503)
关键词 认知无线电 频谱分配 拍卖 合作 逢低买入 cognitive radio spectrum allocation auction collusion group buying
  • 相关文献

参考文献5

二级参考文献56

  • 1刘玉涛 谭学治 孙永亮.基于认知用户最小需求的频谱分配算法[J].哈尔滨工业大学学报,2008,40:32-37. 被引量:4
  • 2MITOLA J, MAGUIRE G. Cognitive radio: making software radios more personal[ J ]. IEEE Personal Communications, 1999,6 (4) : 13-18. 被引量:1
  • 3AKYILDIZ I F, LEE W Y, VURAN M C, et al. Next generation/dynamic spectrum access/cognitive radio wireless networks: a survey [ J ]. Computer Networks,2006,50 (13) :2127- 2159. 被引量:1
  • 4NIYATO D, HOSSAIN E. Hierarchical spectrum sharing in cognitive radio : a microeconomic approach[ C]//Proc of Wireless Communications and Networking Conference. Hong Kong: IEEE Press, 2007 :3825-3829. 被引量:1
  • 5HAYKIN S. Cognitive radio: brain-empowered wireless communications[ J]. IEEE d Select Areas Communications,2005,23(2) : 201 - 220. 被引量:1
  • 6FUDENBURG D,TIROLE J. Game theory [ M ]. Cambridge, MA : MIT Press, 1991. 被引量:1
  • 7NIYATO D, HOSSAIN E. Competitive pricing for spectrum sharing in cognitive radio networks : dynamic game, inefficiency of Nash equilibrium, and collusion[ J]. IEEE J Select Areas Commun,2008,26 ( 1 ) : 192-202. 被引量:1
  • 8NIYATO D, HOSSAIN E. Competitive spectrum sharing in cognitive radio networks:a dynamic game approach [ J ]. IEEE Trans on Wireless Communications,2008,7(7) :2651-2660. 被引量:1
  • 9McEACHERN W A. Microeconomics: a contemporary introduction [ M ]. Cincinnati, OH: South-Western College Publishing,2005. 被引量:1
  • 10GOLDSMITH A J, CHUA S G. Variable rate variable power MQAM for fading channels [ J ]. IEEE Trails on Communications, 1997,45 (10) :1218-1230. 被引量:1

共引文献19

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