Artificial intelligent enhanced data sampling

A communication device comprising:

• a processing circuitry;
• a memory;
• and
• a communications circuitry coupled to the processing circuitry and the memory, the communications circuitry configured to:
• obtain first fine-grain samples of an operational characteristic of a data communication device, wherein the first fine-grain samples are produced by sampling the operational characteristic of the data communication device at a fine-grain sample rate over a first sampling interval;
• train a machine learning algorithm using the first fine-grain samples, the fine-grain sample rate, and a coarse-grain sample rate that is less than the fine-grain sample rate;
• obtain coarse-grain samples of the operational characteristic of the data communication device, wherein the coarse-grain samples are produced by sampling the operational characteristic of the data communication device at the coarse-grain sample rate over a second sampling interval;
• and
• use the machine learning algorithm to process the coarse-grain samples to produce accuracy-enhanced samples of the operational characteristic of the data communication device.

A computer program product comprising computer-executable instructions that are stored on a non-transitory computer storage medium and that, when executed by one or more processors, cause a communication device to:

• obtain first fine-grain samples of an operational characteristic of a data communication device, wherein the first fine-grain samples are produced by sampling the operational characteristic of the data communication device at a fine-grain sample rate over a first sampling interval;
• train a machine learning algorithm using the first fine-grain samples, the fine-grain sample rate, and a coarse-grain sample rate that is less than the fine-grain sample rate;
• obtain coarse-grain samples of the operational characteristic of the data communication device, wherein the coarse-grain samples are produced by sampling the operational characteristic of the data communication device at the coarse-grain sample rate over a second sampling interval;
• and
• use the machine learning algorithm to process the coarse-grain samples to produce accuracy-enhanced samples of the operational characteristic of the data communication device.