| A Novel Channel Predictor Based on Constrained Hidden Markov Model |
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| 引用本文： | HOU Xiao-lin,LI Shu-bo,YIN Chang-chuan,YUE Guang-xin School of Telecommunication Engineering,Beijing University of Posts and Telecommunications,Beijing 100876,P.R. China. A Novel Channel Predictor Based on Constrained Hidden Markov Model[J]. 中国邮电高校学报(英文版), 2004, 11(3) |
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| 作者姓名： | HOU Xiao-lin LI Shu-bo YIN Chang-chuan YUE Guang-xin School of Telecommunication Engineering Beijing University of Posts and Telecommunications Beijing 100876 P.R. China |
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| 作者单位： | HOU Xiao-lin，LI Shu-bo，YIN Chang-chuan，YUE Guang-xin School of Telecommunication Engineering，Beijing University of Posts and Telecommunications，Beijing 100876，P.R. China |
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| 基金项目： | 国家自然科学基金，国家高技术研究发展计划(863计划) |
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| 摘 要： | 1 Introduction Linkadaptationtechniqueisnowwidelyrecognizedasakeysolutiontoincreasethespectralefficiencyofwire lesssystems[1～ 3] .GPRS ,EDGE ,cdma2 0 0 0andWCDMAallincludelinkadaptationasameanstopro videhigherdatarates[4～ 5] .Torealizethepotentialoflinkadaptation ,reliablechannel predictionisneces sary[6 ] . Therearemanydifferentchannelpredictionmethodsavailablenow ,suchasLongRangePrediction(LRP) [6 ] ,predictionbasedonsubspacesignalprocess ingalgorithms[7] ,predictionbasedonFinit…
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A Novel Channel Predictor Based on Constrained Hidden Markov Model |
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| HOU Xiao-lin,LI Shu-bo,YIN Chang-chuan,YUE Guang-xin. A Novel Channel Predictor Based on Constrained Hidden Markov Model[J]. The Journal of China Universities of Posts and Telecommunications, 2004, 11(3) |
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| Authors: | HOU Xiao-lin LI Shu-bo YIN Chang-chuan YUE Guang-xin |
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| Abstract: | In order to realize the potential of link adaptation, reliable channel prediction is necessary. In this paper, we propose a novel channel predictor based on Constrained Hidden Markov Model (CHMM). By partitioning the range of the received signal envelope into several intervals, a CHMM can be constructed with the high efficiency algorithm. Then an improved prediction method is presented, which is more accurate than the simple prediction method of the largest transition probability. Finally, simulation results are given to show the effectiveness of the CHMM channel predictor. |
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| Keywords: | link adaptation channel prediction CHMM |
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