Generalized neural network architectures based on frequency and/or time division

An apparatus, comprising:

• a memory having executable instructions;
• and
• one or more processors configured to execute the executable instructions and cause the apparatus to:
• receive at least one message indicating compressed measurement data;
• generate, via each of a plurality of neural network decoders operating on the compressed measurement data, a decompressed measurement based on a respective portion of the compressed measurement data, wherein each of the neural network decoders is based on the same neural network model, wherein the compressed measurement data is associated with measurements performed for a bandwidth, and wherein the portion of the compressed measurement data is associated with a subband of the bandwidth;
• and
• assess channel characteristics based on the decompressed measurements.

A method for wireless communication, comprising:

• generating, via each of a plurality of neural network encoders operating on measurement data, a compressed measurement based on a respective portion of the measurement data, wherein each of the neural network encoders is based on the same neural network model, wherein the measurement data is generated using measurements performed for a bandwidth, and wherein the portion of the measurement data is associated with a subband of the bandwidth;
• generating at least one message indicative of the measurement data based on the compressed measurements;
• and
• transmitting the at least one message.

A method for wireless communication, comprising:

• receiving at least one message indicating compressed measurement data;
• generating, via each of a plurality of neural network decoders operating on the compressed measurement data, a decompressed measurement based on a respective portion of the compressed measurement data, wherein each of the neural network decoders is based on the same neural network model, wherein the compressed measurement data is associated with measurements performed for a bandwidth, and wherein the portion of the compressed measurement data is associated with a subband of the bandwidth;
• and
• assessing channel characteristics based on the decompressed measurements.