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A Novel Channel Predictor Based on Constrained Hidden Markov Model
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  P.R. China
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
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)
摘    要:1 Introduction Linkadaptationtechniqueisnowwidelyrecognizedasakeysolutiontoincreasethespectralefficiencyofwire lesssystems1~ 3] .GPRS ,EDGE ,cdma2 0 0 0andWCDMAallincludelinkadaptationasameanstopro videhigherdatarates4~ 5] .Torealizethepotentialoflinkadaptation ,reliablechannel predictionisneces sary6 ] . Therearemanydifferentchannelpredictionmethodsavailablenow ,suchasLongRangePrediction(LRP) 6 ] ,predictionbasedonsubspacesignalprocess ingalgorithms7] ,predictionbasedonFinit…


A Novel Channel Predictor Based on Constrained Hidden Markov Model
HOU Xiao-lin,LI Shu-bo,YIN Chang-chuan,YUE Guang-xin School of Telecommunication Engineering,Beijing University of Posts and Telecommunications,Beijing ,P.R. China.A Novel Channel Predictor Based on Constrained Hidden Markov Model[J].The Journal of China Universities of Posts and Telecommunications,2004,11(3).
Authors:HOU Xiao-lin  LI Shu-bo  YIN Chang-chuan  YUE Guang-xin
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.
Keywords:link adaptation  channel prediction  CHMM
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