A novel channel predictor based on constrained hidden Markov model

Author

Hou, Xiaolin ; Li, Shubo ; Yin, Changchuan ; Yue, Guangxin

Author_Institution

Sch. of Telecommun. Eng., Beijing Univ. of Posts & Telecommun., China

Volume

1

fYear

2004

fDate

31 May-2 June 2004

Firstpage

197

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

channel estimation; hidden Markov models; prediction theory; probability; radio links; telecommunication channels; telecommunication network reliability; channel predictor; constrained hidden Markov model; transition probability; Decoding; Fading; Ground penetrating radar; Hidden Markov models; Multiaccess communication; Partitioning algorithms; Prediction methods; Predictive models; Reliability engineering; Signal processing algorithms;

fLanguage

English

Publisher

ieee

Conference_Titel

Emerging Technologies: Frontiers of Mobile and Wireless Communication, 2004. Proceedings of the IEEE 6th Circuits and Systems Symposium on

Print_ISBN

0-7803-7938-1

Type

conf

DOI

10.1109/CASSET.2004.1322953

Filename

1322953