Prediction of Mobile Radio Channels
Licentiate Thesis, Signals and Systems,
Uppsala University, December 2000.
Paper copies of the thesis can be obtained from Ylva Johansson, Signals and Systems
Group, Uppsala University, Box 534, SE-75121 Uppsala, Sweden.
Prediction of the coefficients of mobile radio channel is of
interest for a range of applications such as power control, adaptive
allocation, adaptive coding and
modulation. Power control in e.g. WCDMA requires
short-term prediction over only a small fraction of
the distance between two dips in the short-term fading pattern.
Radio resource allocation and planning would require
accurate and more long-term prediction,
the longer the better.
The performance of different predictors for the mobile radio channel
are evaluated partly on simulated data, using a spherical wave
propagation model, but mainly on measured broadband channel impulse
responses from a suburban environment. The focus is mainly on adaptive
and non-adaptive linear FIR predictors but quadratic-Volterra and MARS
predictors are also studied.
The received power of a mobile radio channel is predicted as
the sum of the squared magnitudes of the predicted individual complex
taps in the channel impulse response. The linear adaptive iterated
sub-sampled FIR predictor generally produces excellent predictions of
both complex taps and total power for short ranges, that is up to 0.1
wavelengths. The performance of power predictors is
reduced markedly at ranges over half a wavelengths. The
advantage over using just the average power for prediction then
becomes small, so we can not claim that the investigated
predictors are efficient for these prediction ranges.
PhD Thesis by Torbjörn
Ekman, Oct. 2002.
paper on an improved unbiased power predictor, evaluated
on 39 measured channels.
paper on using the predictor error variance for
optimizing adaptive modulation.
VTC01s paper on
linear prediction performance on 45 measured channels.
VTC01s paper on
the analysis of the LS Estimation error on a
Rayleigh fading channel.
VTC 1999 paper
on quadratic and linear subsampled filters for prediction.
ICASSP 1999 paper
on predictability of wideband channels, as measured by
the mutual information, and on prediction using
Multiple Adaptive Regression Splines.
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