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Long-range prediction of fading signals

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3 Author(s)
Duel-Hallen, A. ; Dept. of Electr. & Comput. Eng., North Carolina State Univ., Raleigh, NC, USA ; Shengquan Hu ; Hallen, H.

It was previously proposed to adapt several transmission methods, including modulation, power control, channel coding, and antenna diversity to rapidly time variant fading channel conditions. Prediction of the channel coefficients several tens-to-hundreds of symbols ahead is essential to realize these methods in practice. We describe a novel adaptive long-range fading channel prediction algorithm (LRP) and its utilization with adaptive transmission methods. The LRP is validated for standard stationary fading models and tested with measured data and with data produced by our novel realistic physical channel model. Both numerical and simulation results show that long-range prediction makes adaptive transmission techniques feasible for mobile radio channels

Published in:

Signal Processing Magazine, IEEE  (Volume:17 ,  Issue: 3 )