Power Prediction on Broadband Channels
IEEE Vehicular Technology
Conference - VTC'01-Spring
, Rhodes, Greece,
May 6-9 2001, pp. 2328-2332.
© 2001 IEEE
The fading envelope in mobile communications causes the receiving
conditions to vary rapidly. Fast radio resource allocation and planning,
to increase the performance of the system, require accurate
predictions of the changing received power.
To form a prediction of the fading power, the individual taps of the channel
are here predicted and their squared magnitude are summed. The dynamics
of the taps can be modeled as subsampled autoregressive
or ARMA-processes, leading to the different linear predictors
studied in this paper.
The prediction performance is evaluated on 45 measured mobile radio
channels, in urban and suburban environments,
with a bandwidth of 6.4 MHz and Doppler frequencies in the
range 30-110 Hz. With the proposed predictors the
normalized mean square error for the power prediction is below
one percent for prediction ranges up to 2.5 ms, for a majority of the
PhD Thesis by Torbjörn
Ekman, Oct. 2002.
VTC02 paper on
improved bias-free power prediction (June 2002).
RVK02 paper on
using the prediction error variance to optimize adaptive modulation.
VTC'99-Fall paper on
modeling time-variations, and comparing linerar FIR and
quadratic Volterra prediction algorithms.
VTC'01-Spring paper on
the analysis of the LS Estimation error on a Rayleigh fading channel.
by Torbjörn Ekman.
Licenciate Thesis by Nilo C. Ericsson
on predictive scheduling.
Postscript, 315K ;