Coding rate adaptation for hybrid ARQ systems over time varying fading channels with partially observable state

IEEE International Conference on Communications

Volumn 4, Issue , 2005, Pages 2797-2801

  Karmokar, Ashok K ^a   Bhargava, Vijay K ^a  

^a UNIVERSITY OF BRITISH COLUMBIA   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

CHANNEL CAPACITY; ERROR ANALYSIS; FADING (RADIO); HEURISTIC METHODS; PROBLEM SOLVING; TIME VARYING CONTROL SYSTEMS;

BUFFER DELAY; CODING RATE; PACKET ERRORS; WIRELESS CHANNELS;

SIGNAL ENCODING;

EID: 24144441714     PISSN: 05361486     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (14)

1. A. Chockalingam, M. Zorzi, L. B. Milstein, and P. Venkataram, "Performance of a wireless access protocol on correlated Rayleigh-fading channels with capture," IEEE Trans. Commun., vol. 46, pp. 644-655, May 1998.
2. B. Vucetic, "An adaptive coding scheme for time-varying channels," IEEE Trans. Commun., vol. 39, pp. 653-663, May 1991.
3. M. Rice, and S. B. Wicker, "Adaptive error control over slowly varying channels," IEEE Trans. Commun., vol. 42, pp. 917-925, Feb./Mar./Apr. 1994.
4. S. S. Chakraborty, M. Liinabarja, and E. Yli-Juuti, "An adaptive ARQ scheme with packet combining for time varying channels," IEEE Commun. Lett., vol. 3, pp. 52-54, Feb. 1999.
5. H. Minn, M. Zeng, and V. K. Bhargava, "On ARQ scheme with adaptive error control," IEEE Trans. Veh. Technol., vol. 50, pp. 1426-1436, Nov. 2001.
6. Sunghyun Choi, and K. G. Shin, "A class of adaptive hybrid ARQ schemes for wireless links," IEEE Trans. Veh. Technol., vol. 50, pp. 777-790, May 2001.
7. C. C. Tan, and N. C. Beaulieu, "On first-order Markov modeling for the Rayleigh fading channel," IEEE Trans. Commun., vol. 48, pp. 2032-2040, Dec. 2000.
8. Qinqing Zhang, and S. A. Kassam, "Finite-state Markov model for Rayleigh fading channels," IEEE Trans. Commun., vol. 47, pp. 1688-1692, Nov. 1999.
9. M. K. Simon, and M. -S. Alouini, Digital Communication over Fading Channels. New York: John Wiley & Sons, 2000.
10. D. P. Bertsekas, Dynamic Programming and Optimal Control, Second Edition, vol.II. Belmont, Massachusetts: Athena Scientific, 2001.
11. S. Russel, and P. Norvig, Artificial Intelligence: A Modern Approach. 2nd ed., New Jersey, NJ: Prentice Hall, 2003.
12. M. Littman, A. Cassandra, and L. Kaelbling, "Learning policies for partially observable environments: scaling up," in Proc. of the International Conference on Machine Learning, San Francisco, CA, pp. 362-370, 1995.
13. I. Nourbakhsh, R. Powers, and S. Birchfield, "DERVISH: An office-navigating robot," AI Magazine, vol. 16, no. 2, pp. 53-60, 1995.
14. R. Simmons, and S. Koenig, "Probabilistic navigation in partially observable environments," in Proc. of the International Joint Conference on Artificial Intelligence, Montreal, Canada, pp. 1080-1087,Aug. 1995.