Adaptive modelling and long-range prediction of mobile fading channels

IET Communications

Volumn 4, Issue 1, 2010, Pages 39-50

  Heidari, A ^a   Khandani, A K ^a   McAvoy, D ^b  

^a UNIVERSITY OF WATERLOO   (Canada)

^b BELL CANADA   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

ACQUISITION MODES; CHANNEL FADING; COMPENSATION TECHNIQUES; FADING PROCESS; KALMAN ESTIMATOR; KEY ELEMENTS; LINEAR APPROACH; LINEAR METHODS; LINEAR PREDICTORS; MOBILE FADING CHANNELS; MULTI-STEP; NONSTATIONARY; PREDICTION TOOLS; STATE SPACE APPROACH; TIME EVOLUTIONS; TRACKING ALGORITHM;

ADAPTIVE ALGORITHMS; COMPUTATIONAL COMPLEXITY; FADING (RADIO);

FADING CHANNELS;

EID: 74349117552     PISSN: 17518628     EISSN: None     Source Type: Journal    
DOI: 10.1049/iet-com.2008.0308     Document Type: Article

References (27)

1. Heidari, A., McAvoy, D., and Khandani, A.K.: ' Adaptive long-range prediction of mobile fading ', The 23rd Biennial Symp. Communication, Kingston, Ontario, Canada, May, 2006, Queens University, p. 219-222
2. Heidari, A., McAvoy, D., and Khandani, A.K.: Filed Canadian and US Patent Application ' Adaptive channel prediction system and method ', ()
3. Oien, G.E., Holm, H., and Hole, K.J.: ' Impact of channel prediction on adaptive coded modulation performance in Rayleigh fading ', IEEE Trans. Veh. Technol., 2004, 18, p. 758-769 0018-9545
4. Duel-Hallen, A., Hu, S., and Hallen, H.: ' Long range prediction of fading signals: enabling adaptive transmission for mobile radio channels ', IEEE Signal Process. Mag., 2000, 17, p. 62-75 1053-5888
5. Heidari, A., and Khandani, A.K.: ' Improved closed-loop communication in the presence of feedback delay and error ', Conf. Information Sciences and Systems (CISS), March, 2006, p. 289-294
6. Svantesson, T., and Swindlehurst, A.L.: ' A performance bound for prediction of MIMO channels ', IEEE Signal Process. Mag., 2006, 54, p. 520-529 1053-5888
7. Adaptive modeling, prediction, and tracking of wireless fading channels ', Technical report UW-E&CE 2007-01, University of Waterloo, January, 2007
8. Chen, L., and Chen, B.: ' A robust adaptive DFE receiver for DS-CDMA systems under multipath fading channels ', IEEE Trans. Signal Process., 2001, 49, p. 1523-1532 1053-587X (Pubitemid 32615815)
9. Channel prediction for 3G communication systems ', Technical report, Bell Mobility, August, 2004, available at http://cst.uwaterloo.ca/~reza
10. Lyman, R.J.: Optimal mean-square prediction of the mobile-radio fading envelope ', IEEE Trans. Signal Process., 2003, 51, p. 819-824 1053-587X
11. Komninakis, C., Fragouli, C., Sayed, A.H., and Wesel, R.D.: ' Multi-input multi-output fading channel tracking and equalization using Kalman estimation ', IEEE Trans. Signal Process., 2002, 50, p. 1065-1076 1053-587X
12. Yan, M., and Rao, B.D.: ' Performance of an array receiver with a Kalman channel predictor for fast rayleigh flat fading environments ', IEEE J. Selected Areas Commun., 2001, 19, p. 1164-1172
13. Eyceoz, T., Duel-Hallen, A., and Hallen, H.: ' Deterministic channel modeling and long range prediction of fast fading mobile radio channels ', IEEE Commun. Lett., 1998, 29, p. 254-256 1089-7798
14. Ekman, T., Kubin, G., Sternad, M., and Ahlen, A.: ' Quadratic and linear filters for radio channel prediction ', IEEE 50th Vehicular Technology Conf. (VTC'Fall), September, 1999, p. 146-150
15. Chen, B., Tsai, C., and Hsu, C.: ' Robust adaptive MMSE/DFE multiuser detection in multipath fading channel with impulse noise ', IEEE Trans. Signal Process., 2005, 53, p. 306-317 1053-587X
16. Rappaport, T.S.: Wireless communications: principles and practice ', (Prentice-Hall, 1996)
17. Jakes, W.C., Microwave mobile communications ', (IEEE Press, New York, 1974)
18. Hwang, J.K., and Winters, J.H.: ' Sinusoidal modeling and prediction of fast fading processes ', IEEE Global Telecommunications Conf. (GLOBECOM'98), November, 1998, p. 892-897
19. Andersen, J.B., Jensen, J., Jensen, S.H., and Frederiksen, F.: ' Prediction of future fading based on past measurements ', IEEE 50th Vehicular Technology Conf. (VTC'Fall), September, 1999, p. 151-155
20. Liu, Y., and Pang, D.: ' Using the Kalman filter for long range channel prediction ', (Chalmers University of Technology, Department of Signals and Systems, Goteborg, Sweden, 2005, February), Master's thesis
21. Chen, M., Viberg, M., and Ekman, T.: ' Two new approaches to channel prediction based on sinusoidal modelling ', 13th, IEEE/SP Workshop on Statistical Signal Processing, July, 2005, p. 697-700
22. Pop, M.F., and Beauliu, C.: ' Limitations of sum-of-sinusoids fading channel simulators ', IEEE Trans. Commun., 2001, 49, p. 699-708 0090-6778
23. Papulis, A.: Probability, random variables, and stochastic processes ', (McGraw-Hill, 1984)
24. Janacek, G., and Swift, L.: ' Time series: forecasting, simulation, applications ', (Prentice-Hall, 1993)
25. Matthews, P.A., and Mohebbi, B.: ' Direction of arrival measurements at UHF ', Electron. Lett., 1989, 25, p. 1069-1070 0013-5194
26. Quinn, B.G., and Hannan, E.J.: The estimation and tracking of frequency ', (Cambridge University Press, 2001)
27. Gerlach, H., Dahlhaus, D., Pesce, M., and Xu, W.: ' Joint Kalman channel estimation and equalization for the UMTS FDD downlink ', IEEE 58th Vehicular Technology Conf. (VTC'Fall), October, 2003, p. 1263-1267