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Volume 30 Issue 7
Jan.  2011
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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

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

doi: 10.3724/SP.J.1146.2007.01074
  • Received Date: 2007-06-29
  • Rev Recd Date: 2008-01-28
  • Publish Date: 2008-07-19
  • In this paper, a novel dynamic spectrum sharing scheme combining Spectrum Adaptation (SA) and MIMO-OFDM is proposed. In the scheme, an improved model due to signal power thresholds is adopted to accomplish spectrum adaptation for unlicensed users. In order to achieve the rate maximization, a dynamic power allocation algorithm is also presented. Simulation results indicate that the propositional scheme solves the partial interference problem of Interference Temperature Model (ITM) and the system performance is further improved via using MIMO technique. The proposed algorithm reduces the computational complexity and improves the spectrum efficiency.
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  • 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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