	US 12,219,597 B2
	Systems and methods for controlling communications based on machine learned information
Mark D. Rahmes, Melbourne, FL (US); Thomas J. Billhartz, Melbourne, FL (US); David B. Chester, Palm Bay, FL (US); Chad Chung Lau, Melbourne, FL (US); and Vladislav M. Fomitchev, Naples, FL (US)
Assigned to Eagle Technology, LLC, Melbourne, FL (US)
Filed by Eagle Technology, LLC, Melbourne, FL (US)
Filed on Sep. 7, 2023, as Appl. No. 18/462,760.
Application 18/462,760 is a continuation of application No. 17/200,257, filed on Mar. 12, 2021, granted, now 11,792,839.
Prior Publication US 2023/0422292 A1, Dec. 28, 2023
This patent is subject to a terminal disclaimer.
Int. Cl. H04W 72/563 (2023.01); G06N 5/04 (2023.01); G06N 20/00 (2019.01)

CPC H04W 72/563 (2023.01) [G06N 5/042 (2013.01); G06N 20/00 (2019.01)]

15 Claims

1. A method for operating a communication device, comprising:

receiving a signal at the communication device;

performing, by the communication device, 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;

assigning a modulation class to the signal based on the plurality of scores;

determining whether a given wireless channel is available based at least on the modulation class assigned to the signal; and

selectively using the given wireless channel for communicating signals based on results of said determining;

wherein each of the plurality of scores comprises a goodness-of-fit-predicted score or a likelihood score.