Systems and methods for controlling communications based on machine learned information

A communication device, comprising:

• a processor;
• and
• a non-transitory computer-readable storage medium comprising programming instructions that are configured to cause the processor to implement a method for performing communication operations, wherein the programming instructions comprise instructions to:
• receive a signal;
• effectively store training data for one or more machine learning algorithms, using compressive sensing techniques;
• perform one or more machine learning algorithms using at least one feature of the signal as an input to generate a plurality of scores, each said score representing a likelihood that the signal was modulated using a given modulation type of a plurality of different modulation types;
• assign a modulation class to the signal based on the plurality of scores;
• determine whether a given wireless channel is available based at least on the modulation class assigned to the signal;
• and
• selectively use the given wireless channel for communicating signals based on results of said determining.