Finite-State Markov Channel—A Useful Model for Radio Communication Channels

IEEE Transactions on Vehicular Technology

Volumn 44, Issue 1, 1995, Pages 163-171

  Wang, Hong Shen ^a   Moayeri, Nader ^b  

^a CHINESE UNIVERSITY OF HONG KONG   (Hong Kong)

^b HEWLETT PACKARD LABORATORIES   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SIMULATION; FADING (RADIO); FINITE AUTOMATA; MARKOV PROCESSES; MATHEMATICAL MODELS; MATRIX ALGEBRA; PROBABILITY; RADIO COMMUNICATION; SIGNAL TO NOISE RATIO; STATISTICAL METHODS; VECTORS;

BINARY SYMMETRIC CHANNEL; CROSSOVER PROBABILITIES; FINITE STATE MARKOV CHANNEL; GILBERT ELLIOTT CHANNELS; MARKOV TRANSITION PROBABILITIES; SECOND ORDER STATISTICS; STATE EQUILIBRIUM EQUATIONS;

COMMUNICATION CHANNELS (INFORMATION THEORY);

EID: 0029246979     PISSN: 00189545     EISSN: 19399359     Source Type: Journal    
DOI: 10.1109/25.350282     Document Type: Article

References (21)

1. E. N. Gilbert, “Capacity of a burst-noise channel,” Bell Sysl. Tech. J., vol. 39, pp. 1253–1265, Sept. 1960.
2. E. O. Elliott, “Estimates of error rates for codes on burst-noise channels,” Bell Syst. Tech. J., vol. 42, pp. 1977–1997, Sept. 1963.
3. M. Mushkin and I. Bar-David, “Capacity and coding for the Gilbert–Elliott channels,” IEEE Trans. Info. Theory, vol. 35, pp. 1277–1290, Nov. 1989.
4. F. Swarts and H. C. Ferreira, “Markov characterization of channels with soft decision outputs.” IEEE Trans. Commun., vol. 41, pp. 678–682, May 1993.
5. H. S. Wang and N. Moayeri, “Modeling, capacity, and joint source/channel coding for Rayleigh fading channels,” in Proc. 43rd IEEE Vehicular Technol. Conf., May 1993.
6. R. J. McEliece and W. E. Stark, “Channels with block interference,” IEEE Trans. Info. Theory, vol. IT-30, pp. 44–53, Jan. 1984.
7. N. Farvardin and V. Vaishampayan, “Optimal quantizer design for noisy channels: an approach to combined source-channel coding,” IEEE Trans. Info. Theory, vol. IT-33, pp. 827–838, Nov. 1987.
8. A. J. Kurtenbach and P. A. Wintz, “Quantizing for noisy channels,” IEEE Trans. Commun. Tech., vol. COM-17, pp. 291–302, Apr. 1969.
9. S. P. Lloyd, “Least squares quantization in PCM,” IEEE Trans. Info. Theory, vol. IT-28, pp. 129–136, Mar. 1982.
10. J. Max, “Quantization for minimum distortion,” IEEE Trans. Info. Theory, vol. IT-6, pp. 7–12, Mar. 1960.
11. J. Lukaszewicz and H. Steinhaus, “On measuring by comparison,” Zastos Mat., vol. 2, pp. 225–231, 1955.
12. H. S. Wang and N. Moayeri, “Variable rate transmission over a meteor burst channel,” in Proc. 25th Ann. Conf. Info. Sci. Syst., 1991.
13. B. D. Fritchman, “A binary channel characterization using partitioned Markov chains,” IEEE Trans. Info. Theory, vol. IT-13, Apr. 1967.
14. E. Lutz, D. Cygan, M. Dippold, F. Dolainsky, and W. Papke, “The land mobile satellite communication channel—Recording, statistics, and channel model,” IEEE Trans. Veh. Technol., vol. 40, May 1991.
15. W. C. Y. Lee, Mobile Communications Engineering. New York: McGraw-Hill, 1982.
16. J. G. Proakis, Digital Communications, 2nd ed. New York: McGraw-Hill, 1989.
17. W. C. Jakes, Microwave Mobile Communications. New York: Wiley, 1974.
18. M. Yokoyama, “BPSK systems with sounder to combat Rayleigh fading in mobile radio communication,” IEEE Trans. Veh. Technol., vol. VT-34, Feb. 1985.
19. F. Davarian, “Comments on BPSK systems with sounder to combat Rayleigh fading in mobile radio communication” IEEE Trans. Veh. Technol., vol. VT-34, Nov. 1985.
20. A. Bateman, “A general analysis of bit error probability for reference-based BPSK mobile data transmission,” IEEE Trans. Commun., vol. 37, pp. 398–402, Apr. 1989.
21. D. Subaslinghe-Dias and K. Feher, “Miller coded pilot aided modulation schemes for digital mobile radio,” in Proc. 40th IEEE Vehicular Technol. Conf., May 1990, pp. 465–470.