Unbiased Power Prediction of Rayleigh Fading Channels

Torbjörn Ekman, Mikael Sternad and Anders Ahlén

IEEE Vehicular Technology Conference VTC2002-Fall Vancouver, Canada, Sept. 2002, pp- 280-284.   © 2002 IEEE

Outline:

The Wireless IP project within the PCC program studies problems that are crucial in the evolution of UMTS towards high data rates, as well as in future 4G technologies aimed at rapidly mobile terminals. The goal is to attain higher througputs for packet data in particular in downlinks, without bandwidth expansion and while providing acceptable quality of service for various classes of traffic.

Abstract:

Prediction of the rapidly fading envelope of a mobile radio channel enables a number of capacity improving techniques like fast resource allocation or fast adaptive modulation. Some power prediction algorithms are based on linear prediction of the taps of the complex impulse response and then forming the power prediction as the sum of the absolute square of the prediction of the taps in the impulse response. This will render a biased power predictor, that generally underestimates the power.

We propose a bias compensated power predictor and derive the optimal pre-diction coefficients for the Rayleigh fading channel. The importance of efficient noise reduction of channel samples that are used as inputs to the predictor is also emphasized. A performance evaluation of the prediction algorithm is carried out on measured broadband mobile radio channels.

Related publications:

PhD Thesis by Torbjörn Ekman, Oct. 2002.
VTC'01-Spring paper on our previous predictor, which is here improved.
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.
System Proposal (RVK02) in which this type of power prediction is important.

Source:

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