Apparatus and method for controlling non-linear effect of power amplifier

A method for controlling a non-linear effect of a power amplifier, the method comprising:

• acquiring, by an apparatus, an input data of the power amplifier (PA) of the apparatus and an output data of the power amplifier;
• determining, by the apparatus, an inverse function using a neural network, wherein the inverse function maps normalized output data of the PA to the input data of the PA, wherein the neural network comprises at least one sub-network for each of at least one memory tap from a plurality of memory taps in the neural network;
• modifying, by the apparatus, the input data based on the determined inverse function by dynamically changing a usage of the at least one memory tap from the plurality of memory taps;
• and
• compensating, by the apparatus, the non-linear effect in the output data of the power amplifier.

An apparatus configured to control a non-linear effect of a power amplifier, the apparatus comprising:

• a neural network (NN)-based Digital Pre-distorter (DPD), wherein the NN-based DPD comprises at least one sub-network from a plurality of sub-networks;
• and
• a trained NN-based DPD disposed before the power amplifier and configured to control the non-linear effect of output data of the power amplifier,
• wherein the power amplifier is configured to transmit a linearly amplified signal comprising the non-linear effect of the output data of the power amplifier, and
• wherein the NN-based DPD is configured to:
• monitor at least one of an error vector magnitude (EVM) parameter associated with the linearly amplified signal and an adjacent channel leakage ratio (ACLR) parameter associated with the linearly amplified signal,
• determine whether at least one of the EVM parameter and the ACLR parameter satisfies a specified threshold, and
• when at least one of the EVM parameter and the ACLR parameter does not satisfy the specified threshold, retrain the trained NN-based DPD.

An apparatus configured to control a non-linear effect of a power amplifier, the apparatus comprising:

• a neural network (NN)-based Digital Pre-distorter (DPD), wherein the NN-based DPD comprises at least one sub-network from a plurality of sub-networks, wherein the NN-based DPD is configured to:
• acquire an input data of the power amplifier (PA) of the apparatus and an output data of the power amplifier;
• determine an inverse function, wherein the inverse function is configured to map normalized output data of the PA to the input data of the PA wherein the NN-based DPD comprises at least one sub-network for each of at least one memory tap from a plurality of memory taps in the neural network;
• modifying the input data based on the determined inverse function by dynamically changing a usage of the at least one memory tap from the plurality of memory taps;
• and
• compensating for the non-linear effect in the output data of the power amplifier.