Power Prediction on Broadband Channels

Mikael Sternad, Torbjörn Ekman and Anders Ahlén

IEEE Vehicular Technology Conference - VTC'01-Spring , Rhodes, Greece,
May 6-9 2001, pp. 2328-2332.   © 2001 IEEE

Abstract:

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 channels.

Related publications:

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.
Licenciate Thesis by Torbjörn Ekman.
Licenciate Thesis by Nilo C. Ericsson on predictive scheduling.

Source:

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