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认知无线电中感知信道的优化选择方法 被引量：1

Optimal Selection of Sensing Channel in Cognitive Radio Network
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摘要 在认知无线电中,频谱感知是实现频谱动态接入的重要前提和核心环节,文中在多用户多信道环境下基于能量检测提出了一种感知信道优化选择的方法。该方法从最大化一个次用户感知一个主用户信道能获得的归一化吞吐量出发,在目标检测概率限制下,提出了基于改进的匈牙利算法进行感知信道选择的最优方法。仿真结果表明,与感知信道随机选择方法相比较,文中提出的方法可以大大提高整个次用户网络的归一化吞吐量。 Spectrum sensing has been identified as a key requirement for dynamic spectrum allocation in cognitive radio network （CRN）. Based on energy detection, this paper proposed an optimization method for channel selection in multi-user and multi-channel scenario. This method maximizes the normalized throughput that can be obtained by a CR user sensing a primary user＇ s channel. The improved Hungarian algorithm is adopted to select the optimal channel for CR users. Simulation results show that the proposed optimization method can improve the overall normalized throughput comparing with the random channel selection method.
作者 叶军 朱琦
机构地区 南京邮电大学江苏省无线通信重点实验室 南京邮电大学宽带无线通信与传感网技术教育部重点实验室
出处 《南京邮电大学学报（自然科学版）》 北大核心 2012年第3期24-29,共6页 Journal of Nanjing University of Posts and Telecommunications：Natural Science Edition
基金 国家重点基础研究发展计划(973计划)(2007CB310607) 国家自然科学基金(61171094) 国家科技重大专项(2011ZX03001-006-022 011ZX03005-004-03)资助项目
关键词 频谱感知 信道选择 最优化 归一化吞吐量 改进的匈牙利算法 spectrum sensing channel selection optimization normalized throughput improved Hungarian algorithm
分类号 TN929.5 [电子电信—通信与信息系统]
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参考文献13

  • 1Federal Communications Commission. Spectrum policy task force re- port[ C] //FCC. 2002:2 - 155.
  • 2AKYILDIZ I F, LEE W Y,VURAN M C, et al. Next generation dy- namic spectrum access cognitive radio wireless networks:A survey [ J ]. Elsevier Computer Networks,2006,50:2127 - 2159.
  • 3GHASEMI A, SOUSA E S. Optimization of Spectrum Sensing for Opportunistic Spectrum Access in Cognitive Radio Networks [ C ]// Consumer Communications and Networking Conference. 2007 : 1022 - 1026.
  • 4CABRIC D, MISHRA S M, BRODERSEN R W. Implementation is- sues in spectrum sensing for cognitive radios [ C ]//IEEE Asilomar Conference on Signals, Systems and Computers. Pacific Grove, CA, USA ,2004:772 - 776.
  • 5TANG H. Some physical layer issues of wide-band cognitive radio systems[ C]///IEEE International Symposium on New Frontier in Dynamic Spectrum Access Networks. 2005:151 - 159.
  • 6WANG Peng, XIAO Limin, ZHOU Shidong, et al. Optimization of Detection Time for Channel Efficiency in Cognitive Radio Systems [ C]//Wireless Communications and Networking Conference. 2007: 111 -115.
  • 7LIANG Yingchang, ZENG Yonghong, PEH E, et al. Sensing-through- put Tradeoff for Cognitive Radio Networks [ J ]. IEEE Transactions on Wireless Communications,2008,7 (4) : 1326 - 1337.
  • 8KIM H, SHIN K G. Efficient Discovery of Spectrum Opportunities with MAC-Layer Sensing in Cognitive Radio Networks [ J ]. IEEE Transactions on Mobile Computing,2008,7 (5) :533 - 545.
  • 9LUO L, ROY S. Analysis of search schemes in cognitive radio [ C ] // IEEE Workshop on Networking Technologies for Software Defined Radio Networks. 2007 : 17 - 24.
  • 10ZHOU Xiangwei, LI Ye, KWON Y H, et al. Detection Timing and Channel Selection for Periodic Spectrum Sensing in Cognitive Ra- dio[ C ]//IEEE Global Telecommunications Conference. 2008 : 1 -5.

二级参考文献30

  • 1HAYKIN S. Cognitive Radio: Brain-Empowered Wireless Communications [ J]. IEEE JSAC, 2005, 23 (2) : 201-220.
  • 2CABRIC D, MISHRA S M, WILLKOMM D, et al. A Cognitive Radio Approach for Usage of Virtual Unlicensed Spectrum[C]//14th IST Mobile and Wireless Communications Summit. Dresden, Germany: [ s. n. ], 2005: 156-272.
  • 3SHANKAR S. Spectrum Agile Radios: Utilization and Sensing Architecture [ C] //IEEE DySPAN, Baltimore. Maryland, USA: IEEE, 2005: 160-169.
  • 4TANDRA R. Fundamental Limits on Detection in Low Snr [ D]. Berkeley: University of California, 2005.
  • 5WEISS T A, JONDRAL F K. Spectrum Pooling: An Innovative Strategy for the Enhancement of Spectrum Efficiency [ J]. Communications Magazine, 2004, 42 (3) : 8-14.
  • 6LU Lin-jun , SOO-YOUNG CHANG. Technology Proposal Clarifications for IEEE 802.22 WRAN Systems [ EB/OL]. (2006-3-30). http: //wwww. ieee802, org/22/Meeting_ documents/2006 May/22 - 0643049430-0000_Huawei_Proposal- Complement_to_22-06-0030-04-0000.
  • 7CABRIC D, MISHRA S M, BRODERSEN R W. Implementation Issues in Spectrum Sensing for Cognitive Radios [ C] //38th Asilomar Conference on Signals, Systems and Computers Asilomar. California, USA: [ s. n. ] , 2004: 772-776.
  • 8TANG H. Some Physical Layer Issues of Wide-Band Cognitive Radio System [ C ] //IEEE DySPAN Baltimore. Maryland, USA: [s. n.], 2005: 151-159.
  • 9CABRIC D, BRODERSEN R W. Physical Layer Design Issues Unique to Cognitive Radio Systems [ C ] //IEEE Personal Indoor and Mobile Radio Communications (PIMRC). Berlin, Germany: [ s. n. ] , 2005 : 759-763.
  • 10CABRIC D, TKACHENKO A, BRODERSEN R W. Spectrum Sensing Measurements of Pilot, Energy, and Collaborative Detection [ C] //IEEE Military Communications Conference. Washington, DC, USA: [ s. n. ], 2006 : 1-7

共引文献11

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引证文献1

二级引证文献5

南京邮电大学学报（自然科学版）
2012年 第3期

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