18837025. POWER FEATURE AIDED MACHINE LEARNING TO REDUCE NON-LINEAR DISTORTION (Telefonaktiebolaget LM Ericsson (publ))
POWER FEATURE AIDED MACHINE LEARNING TO REDUCE NON-LINEAR DISTORTION
Organization Name
Telefonaktiebolaget LM Ericsson (publ)
Inventor(s)
Sener Dikmese of Sundbyberg SE
Marcus Eriksson of Järfälla SE
Mats Gan Klingberg of Enebyberg SE
POWER FEATURE AIDED MACHINE LEARNING TO REDUCE NON-LINEAR DISTORTION
This abstract first appeared for US patent application 18837025 titled 'POWER FEATURE AIDED MACHINE LEARNING TO REDUCE NON-LINEAR DISTORTION
Original Abstract Submitted
A computer-implemented method performed by a device configured with a power feature aided machine learning, ML, model is provided that models a behavior of a DPD to reduce non-linear distortion of an output signal of a non-linear device. The method includes extracting a plurality of power features from an input signal destined to be input to the DPD. The method further includes labelling the extracted plurality of power features to obtain at least one labelled average power level; inputting the at least one labelled average power level to the input of the ML model to obtain an output signal from the ML model having characteristics to reduce the non-linear distortion of the output signal of the non-linear device; and providing the output signal from the ML model as an input to the non-linear device.