Artificial intelligence based channel inpainting for wireless communication systems

A first electronic device comprising:

• memory;
• and
• a processor operably coupled to the memory, the processor configured to:
• transmit configuration information for sounding reference signals (SRSs) to second electronic devices, the configuration information including non-uniform sampling patterns for the SRSs;
• receive non-uniformly sampled SRSs over respective channels from the second electronic devices based on the configuration information;
• preprocess the non-uniformly sampled SRSs to extract channel state information of the channels;
• and
• reconstruct, using an artificial intelligence (AI) model trained to perform channel inpainting, a full band SRS for each of the channels based on the channel state information.

A non-transitory computer readable medium embodying a computer program, the computer program comprising program code that, when executed by a processor of a first electronic device, causes the first electronic device to:

• transmit configuration information for sounding reference signals (SRSs) to second electronic devices, the configuration information including non-uniform sampling patterns for the SRSs;
• receive non-uniformly sampled SRSs over respective channels from the second electronic devices based on the configuration information;
• preprocess the non-uniformly sampled SRSs to extract channel state information of the channels;
• and
• reconstruct, using an artificial intelligence (AI) model trained to perform channel inpainting, a full band SRS for each of the channels based on the channel state information.