DocumentCode
3388496
Title
Power prediction on broadband channels
Author
Sternad, Mikael ; Ekman, Torbjörn ; Ahlen, Anders
Author_Institution
Signals & Syst., Uppsala Univ., Sweden
Volume
4
fYear
2001
fDate
2001
Firstpage
2328
Abstract
The fading envelope in mobile communications causes rapid variations of the receiving conditions. Fast radio resource allocation and planning require accurate predictions of the changing received power. To form a prediction of the fading power, the individual taps of the channel are 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. The prediction performance is evaluated on measured mobile radio channels at 45 locations 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 measured channels
Keywords
autoregressive processes; bandwidth allocation; broadband networks; fading channels; mean square error methods; mobile radio; prediction theory; telecommunication network planning; time-varying channels; 30 to 110 Hz; 6.4 MHz; autoregressive processes; broadband channels; channel taps; fading envelope; linear predictors; mobile communications; mobile radio channels; normalized mean square error; performance evaluation; planning; power prediction; radio resource allocation; squared magnitude summation; subsampled ARMA processes; time-varying channels; Fading; Finite impulse response filter; Frequency; Land mobile radio; Nonlinear filters; Power control; Predictive models; Resource management; Sampling methods; Wavelength measurement;
fLanguage
English
Publisher
ieee
Conference_Titel
Vehicular Technology Conference, 2001. VTC 2001 Spring. IEEE VTS 53rd
Conference_Location
Rhodes
ISSN
1090-3038
Print_ISBN
0-7803-6728-6
Type
conf
DOI
10.1109/VETECS.2001.944016
Filename
944016
Link To Document