Machine learning based channel precoder selection for downlink

A network entity, comprising:

• one or more memories storing processor-executable code;
• and
• one or more processors coupled with the one or more memories and individually or collectively operable to execute the code to cause the network entity to:
• receive a capability message indicating one or more neural network characteristics supported by a user equipment (UE);
• transmit, based at least in part on receiving the capability message, a neural network characteristic message indicating one or more neural network coefficients of a neural network model corresponding to precoder calculation based on channel estimation;
• precode downlink signaling according to a narrowband precoder, wherein a precoding status corresponding to one or more demodulation reference signals is different than the narrowband precoder;
• and
• transmit the downlink signaling and the one or more demodulation reference signals.

A method for wireless communications at a user equipment (UE), comprising:

• transmitting a capability message indicating one or more neural network characteristics supported by the UE;
• receiving, based at least in part on transmitting the capability message, a neural network characteristic message indicating one or more neural network coefficients of a neural network model corresponding to precoder calculation based on channel estimation;
• receiving downlink signaling and one or more demodulation reference signals, wherein a narrowband precoder corresponding to the downlink signaling is different than a precoding status corresponding to the one or more demodulation reference signals;
• and
• decoding the downlink signaling according to an output from the neural network model indicating the narrowband precoder of the downlink signaling, wherein the output from the neural network model is based at least in part on the one or more neural network coefficients and an input to the neural network model comprising one or more channel estimation values.

A method for wireless communications at a network entity, comprising:

• receiving a capability message indicating one or more neural network characteristics supported by a user equipment (UE);
• transmitting, based at least in part on receiving the capability message, a neural network characteristic message indicating one or more neural network coefficients of a neural network model corresponding to precoder calculation based on channel estimation;
• precoding downlink signaling according to a narrowband precoder, wherein a precoding status corresponding to one or more demodulation reference signals is different than the narrowband precoder;
• and
• transmitting the downlink signaling and the one or more demodulation reference signals.