Title :
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
fDate :
31 May-2 June 2004
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;
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
DOI :
10.1109/CASSET.2004.1322953
