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认知无线电中基于SA-MIMO-OFDM的动态频谱共享方案

胡浩 周文安 宋俊德

胡浩, 周文安, 宋俊德. 认知无线电中基于SA-MIMO-OFDM的动态频谱共享方案[J]. 电子与信息学报, 2008, 30(7): 1548-1551. doi: 10.3724/SP.J.1146.2007.01074
引用本文: 胡浩, 周文安, 宋俊德. 认知无线电中基于SA-MIMO-OFDM的动态频谱共享方案[J]. 电子与信息学报, 2008, 30(7): 1548-1551. doi: 10.3724/SP.J.1146.2007.01074
Hu Hao, Zhou Wen-an, Song Jun-de . Dynamic Spectrum Sharing Scheme Based on Spectrum Adaptation and MIMO-OFDM in Cognitive Radio[J]. Journal of Electronics & Information Technology, 2008, 30(7): 1548-1551. doi: 10.3724/SP.J.1146.2007.01074
Citation: Hu Hao, Zhou Wen-an, Song Jun-de . Dynamic Spectrum Sharing Scheme Based on Spectrum Adaptation and MIMO-OFDM in Cognitive Radio[J]. Journal of Electronics & Information Technology, 2008, 30(7): 1548-1551. doi: 10.3724/SP.J.1146.2007.01074

认知无线电中基于SA-MIMO-OFDM的动态频谱共享方案

doi: 10.3724/SP.J.1146.2007.01074

Dynamic Spectrum Sharing Scheme Based on Spectrum Adaptation and MIMO-OFDM in Cognitive Radio

  • 摘要: 该文提出一种结合频谱自适应(Spectrum Adaptation,SA)与MIMO-OFDM技术的动态频谱共享方案。该方案基于功率门限模型实现非授权信号的自适应频谱成型,并给出了一种简单的动态功率分配算法以最大化比特率。仿真结果表明,该方案能够克服干扰温度模型的局部干扰问题,使用MIMO技术可进一步提高系统性能,通过动态功率分配算法可降低计算复杂性并提高频谱利用率。
  • Mitola J and Maguire G Q. Cognitive radio: making softwareradios more personal[J].IEEE Personal Communications.1999,6(4):13-18[2]Haykin S. Cognitive radio: Brain-empowered wirelesscommunications[J].IEEE Journal on Selected Area inCommunications.2005, 23(2):201-220[3]Etkin R, Parekh A, and Tse D. Spectrum sharing forunlicensed bands[J].IEEE Journal on Selected Areas inCommunications.2007, 25(3):517-528[4]FCC. Establishment of Interference Temperature Metric toQuantify and Manage Interference and to Expand AvailableUnlicensed Operation in Certain Fixed Mobile andSatelliteFrequency Bands. ET Docket 03-289, Notice ofInquiry and Proposed Rulemaking.[5]Stuber G L, Barry J R, and Mclaughlin S W, et al..Broadband MIMO-OFDM wireless communications[J].Proc.IEEE.2004, 92(2):271-294[6]Gao J and Faulkner M. On implementation of bit-loadingalgorithms for OFDM systems with multiple-inputmultiple-output. Proc of VTC-Fall, Vancouver BC, Canada,September 2002: 199-203.[7]Clancy T. Formalizing the Interference Temperature Model.Wiley Journal on Wireless Communications and MobileComputing, 2007, 7(9): 1077-1086.[8]Cioffi J M, et al.. MMSE decision-feedback equalizers andcoding part I: Equalization results[J].IEEE Trans. onCommunications.1995, 43(10):2582-2594[9]Hughes-Hartogs D. Ensemble modem structure for imperfecttransmission media. U.S. Patents, 4679227 (July 1987),4731816 (March 1988) and 4833796 (May 1989).[10]Prince K, Krongold B, and Dey S. A framework for efficientrate-power allocation for OFDM in a composite-fadingenvironment. Proc. ICC2005, Seoul, Korea, May 2005:2558-2562.
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出版历程
  • 收稿日期:  2007-06-29
  • 修回日期:  2008-01-28
  • 刊出日期:  2008-07-19

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