Systems and methods for supporting near-real time propagation prediction and frequency management
AssigneeHarris Global Communications, Inc.
InventorsWilliam N. Furman, Richard J. Buckley
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Abstract
Systems and methods for operating a system. The methods may comprise: using a machine learning model to identify which frequency of a plurality of possible frequencies that can be used by a communication device for wireless communications is an inferred best frequency based on weather report information and/or predicted weather information; performing operations to select a best frequency from the plurality of possible frequencies using the inferred best frequency and a frequency value selected by a link establishment process of the communication device; and causing the communication device to communicate signals with the best frequency which was selected.
Claims20
A method for operating a system, comprising:
- using, by a processor, a machine learning model to identify which frequency of a plurality of possible frequencies that can be used by a communication device for wireless communications is an inferred best frequency based on at least on one of weather report information and predicted weather information;
- performing, by the processor, operations to select a best frequency from the plurality of possible frequencies using the inferred best frequency and a frequency value selected by a link establishment process of the communication device;
- and
- causing, by the processor, the communication device to communicate signals with the best frequency which was selected.
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 controlling operations of the communication device, wherein the programming instructions comprise instructions to:
- obtain an inferred best frequency generated by a machine learning model based on at least on one of weather report information and predicted weather information;
- select a best frequency from a plurality of frequencies using the inferred best frequency and a frequency value selected by a link establishment process of the communication device;
- and
- tune the communication device to the best frequency.
A non-transitory computer-readable medium having instructions stored thereon that, when executed by at least one computing device, cause the at least one computing device to perform operations comprising:
- use a machine learning model to identify which frequency of a plurality of possible frequencies that can be used by a communication device for wireless communications is an inferred best frequency based on at least on one of weather report information and predicted weather information;
- perform operations to select a best frequency from the plurality of possible frequencies using the inferred best frequency and a frequency value selected by a link establishment process of the communication device;
- and
- cause a communication device to be tuned to the best frequency.
Dependencies are inferred from the claim text.