期刊文献+

认知无线网络多用户协同频谱感知协作机制研究 被引量:3

ON COLLABORATION MECHANISM OF MULTIUSER COOPERATIVE SPECTRUM SENSING IN COGNITIVE RADIO NETWORK
下载PDF
导出
摘要 认知无线电技术被公认是下一代无线网络的核心架构之一,频谱感知是认知无线电实现的核心手段。通过分析现有的协同频谱感知模型,证明了在多用户进行协同频谱感知的情况下,所有用户进行协同频谱感知所得到总体信道利用率是最高的;进而设计策略促使所有的非授权用户积极进行协同频谱感知,并对所设计的策略进行仿真验证。仿真结果表明,所设计的策略可以有效地促进非授权用户进行协同频谱感知,从而提高频谱资源的整体利用率。 Cognitive radio technology is generally recognised as one of the core architectures of the next generation wireless networks,and the spectrum sensing is the key means of cognitive radio implementation.By analysing existing cooperative spectrum sensing model,we prove that in condition of implementing cooperative spectrum sensing by multiple users,the overall channel utilisation achieves highest rate while all users are taking part in the cooperative spectrum sensing.And then we design the strategy to promote all unauthorised users to actively pursue the cooperative spectrum sensing,and the designed strategy has be verified through the simulation as well.Simulation results show that our strategy can effectively advance the implementation of cooperative spectrum sensing by unauthorised users and thereby increases the overall utilisation of spectrum resources.
出处 《计算机应用与软件》 CSCD 北大核心 2012年第6期1-4,56,共5页 Computer Applications and Software
基金 国家自然科学基金项目(61171034) 浙江省杰出青年基金项目(R1110443)
关键词 认知无线电 博弈论 频谱感知 信道利用率 协同策略 Cognitive radio Game theory Spectrum sensing Channel utilisation Cooperative strategy
  • 相关文献

参考文献8

  • 1Force S P T. Spectrum policy task force report[ R]. Federal Communi- cations Commission ET Docket 02, 2002,135.
  • 2Mitola J. Cognitive radio: An integrated agent architecture for software defined radio [ D ]. Doctor of Technology, Royal Inst. Technol. ( KTH), Stockholm, Sweden, 2000:271 -350.
  • 3Ghasemi A, Sousa E S. Spectrum sensing in cognitive radio networks : requirements, challenges and design trade-offs [ J ]. Communications Magazine, IEEE, 2008,46(4) :32-39.
  • 4杨磊,殷福亮,陈喆.认知无线电动态频谱分配新算法[J].信号处理,2010,26(8):1211-1216. 被引量:3
  • 5Wang B,Liu R,Clancy T C. Evolutionary cooperative spectrum sensing game: how to collaborate [ J ]. IEEE Transactions on, Communications, 2010,58(3 ) :890 -900.
  • 6Liang Y C. Sensing-throughput tradeoff for cognitive radio networks [ J]. Wireless Communications IEEE on Transactions, 2008,7 ( 4 ) : 1326 - 1337.
  • 7Mishra S M, Sahai A, Brodersen R W. Cooperative sensing among cog- nitive radios [ C ]//Communications IEEE International Conference on. Dec 2006, Istanbul.
  • 8吴雨欣.选举民主中多数裁定原则的合理性与有限性[J].理论学刊,2010(11):89-92. 被引量:1

二级参考文献21

  • 1李维英,陈东,邢成文,王宁.认知无线电系统中OFDM多用户资源分配算法[J].西安电子科技大学学报,2007,34(3):368-372. 被引量:15
  • 2Haykin S. Cognitive radio: brain-empowered wireless communications[ J]. IEEE Journal on Selected Areas in Communications, 2005, 23 (2) : 201-220.
  • 3Ji Z, Liu K. J. R. Dynamic spectrum sharing: a game theoretical overview [ J ]. IEEE Communications Magazine, 2007, 45(5) : 88-94.
  • 4Tian F, Yang Z. A new algorithm for weighted proportional fairness based spectrum allocation of cognitive radios [ C ]. Eighth ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/ Distributed Computing, Tsingtao, China, 2007: 531-536.
  • 5Kivanc D, Li G, Liu H. Computationally efficient bandwidth allocation and power control for OFDMA [ J ]. IEEE Transactions on Wireless Communications, 2003, 2 (6) : 1150-1158.
  • 6Hughes-Hartogs D. Ensemble modem structure for imperfect transmission media [P]. U.S. Patent No. 4,679,227, July 1987.
  • 7Kivanc D, Liu H. Subcarrier allocation and power control for OFDMA [ C ]. Proceedings of the Thirty-Fourth Asilomar Conference on Signals, Systems and Computers, Piscatatway, USA, 2000: 147-151.
  • 8Schrijver A. Theory of linear integer programming [ M ]. New York: John Wiley and Sons, 1986. 229-236.
  • 9Chow P. S, Cioffi J. M, Bingham J. A. C. A practical discrete muhitone transceiver loading algorithm for data transmission over spectrally shaped channels [ J ]. IEEE Transactions on Communications, 1995, 43 (234) : 773-775.
  • 10Krongold B. S, Ramchandran K. Computationally efficient optimal power allocation algorithms for muhicarrier communication systems [ J]. IEEE Transactions on Communications, 2000, 48(1): 23-27.

共引文献2

同被引文献10

引证文献3

二级引证文献3

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