Browse > Article

Performance Analysis of Wireless Communication System with FSMC Model in Nakagami-m Fading Channel  

조용범 (한국항공대학교 대학원 정보통신공학과)
노재성 (서일대학 정보통)
조성준 (한국항공대학교 전자ㆍ정보통신ㆍ컴퓨터공학부)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.8, no.5, 2004 , pp. 1010-1019 More about this Journal
Abstract
In this paper, we represent Nakagami-m fading channel as finite-State Markov Channel (FSMC) and analyze the performance of wireless communication system with varying the fading channel condition. In FSMC model, the received signal's SNR is divided into finite intervals and these intervals are formed into Markov chain states. Each state is modeled by a BSC and the transition probability is dependent upon the physical characterization of the channel. The steady state probability and average symbol error rate of each state and transition probability are derived by numerical analysis and FSMC model is formed with these values. We found that various fading channels can be represented with FSMC by changing state transition index. In fast fading environment in which state transition index is large, the channel can be viewed as i.i.d. channel and on the contrary, in slow fading channel where state transition index is small, the channel can be represented by simple FSMC model in which transitions occur between just adjacent states. And we applied the proposed FSMC model to analyze the coding gain of random error correcting code on various fading channels via computer simulation.
Keywords
Markov; FSMC; Nakagami;
Citations & Related Records
연도 인용수 순위
  • Reference
1 H. Bai and M. Atiquzzaman, 'Error modeling schemes for fading channels in wireless communications: A survey,' IEEE Commun. surveys & tutorials, vol. 5, no.2, fourth quarter, 2003
2 M. Zorzi, R. R. Rao, and L. B. Milstein, 'On the accuracy of first-order Markov model for data transmission on fading channels,' in Proc. IEEE ICUPC'95, pp.211-215, November 1995
3 N. B. Mehta and A. Goldsmith, 'Performance analysis of link adaptation in wireless data networks,' in Proc. of GLOBECOM 2000, vol. 3, pp.1422-1426, November 2000
4 H. S. Wang and N. Moayeri, 'Finite-state Markov channel - A useful model for radio communication channels,' IEEE Trans. on Veh. Tech., vol. 44, pp.163-171, February 1995   DOI   ScienceOn
5 F. Babich, O. E. Kelly, and G. Lombardi, 'Generalized Markov Modeling for Flat Fading,' IEEE Trans. on Commun., vol.48, pp. 547-551, April 2000   DOI   ScienceOn
6 A. Rameshm, A. Chockalingam and L. B. Milstein, 'A first-order Markov model for correlated Nakagami-m fading channels,' in Proc. of ICC 2002, vol. 5, pp.3413-3417, May 2002
7 C. H. Snow, 'A software-based fading channel simulator,' B.E.Sc. thesis, Dniv. of Western Ontario, London, Canada, 2003
8 F. Babich and G. Lombardi, 'On verifying first-order Markovian model for the multi-threshold success/failure process for Rayleigh Channel,' in Proc. of PIMRC'97, pp.12-16, September 1997
9 J. Arauz, P. Krishnamurthy, 'A study of different partitioning schemes in first order Markovian models for Rayleigh fading channels,' in Proc. of WPMC 2002, vol. 1, pp.277-281, October 2002
10 M. Nakagami, 'The m-distribution-A general formula of intensity distribution of rapid wave propagation,' in Statistical Methods in Radio Wave Propagation, ed. W. G. Hoffman, pp. 3-36, Pergamon Press, Oxford, England, 1960
11 G. Sharma, A. Dholakia, and A. Hassan, 'Simulation of error trapping decoders on a fading channel,' in Proc. of VTC'96, pp.1361-1365, May 1996.