DocumentCode
1631661
Title
New Channel Model for Wireless Communications: Finite-State Phase-Type Semi-Markov Channel Model
Author
Wang, Jinting ; Cai, Jun ; Alfa, Attahiru S.
Author_Institution
Dept. of Electr. & Comput. Eng., Univ. of Manitoba, Winnipeg, MB
fYear
2008
Firstpage
4461
Lastpage
4465
Abstract
In this paper, a finite-state phase-type semi-Markov channel (FSPHMC) model is proposed for wireless channels with correlated fading. By introducing a phase type distributed sojourn time between channel state transitions, the proposed model generalizes the traditional Finite-State Markov Channel (FSMC) model where the sojourn time in each channel state is assumed to satisfy geometric distribution. Thanks to the flexibility of the phase type distribution, the resultant FSPHMC model is applicable to much wider range of practical fading channels. For facilitating the implementation of FSPHMC model in practical scenarios, a special case, FSPHMC model with negative binomial sojourn time (FSPHMC-NB), is also presented under constraint computational complexity. Compared with the traditional FSMC model, the FSPHMC-NB demonstrates considerable improvement in that it matches the true state duration distribution without a significant increase in complexity. Simulation results are given to validate the flexibility and versatility of the proposed FSPHMC model.
Keywords
Markov processes; correlation methods; fading channels; radiocommunication; channel state transition; correlated fading wireless channel; finite-state phase-type semi Markov channel model; negative binomial sojourn time; phase type distributed sojourn time; wireless communication; Communications Society; Computational complexity; Computational modeling; Fading; Information theory; Markov processes; Mathematical model; Signal to noise ratio; Solid modeling; Wireless communication;
fLanguage
English
Publisher
ieee
Conference_Titel
Communications, 2008. ICC '08. IEEE International Conference on
Conference_Location
Beijing
Print_ISBN
978-1-4244-2075-9
Electronic_ISBN
978-1-4244-2075-9
Type
conf
DOI
10.1109/ICC.2008.837
Filename
4533873
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