Processing of communications signals using machine learning
AssigneeVirginia Tech Intellectual Properties, Inc.
InventorsTimothy James O'Shea, Thomas Charles Clancy, III
Life of this patent
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AssigneeVirginia Tech Intellectual Properties, Inc.
InventorsTimothy James O'Shea, Thomas Charles Clancy, III
Estimating the term…
One or more processors control processing of radio frequency (RF) signals using a machine-learning network. The one or more processors receive as input, to a radio communications apparatus, a first representation of an RF signal, which is processed using one or more radio stages, providing a second representation of the RF signal. Observations about, and metrics of, the second representation of the RF signal are obtained. Past observations and metrics are accessed from storage. Using the observations, metrics and past observations and metrics, parameters of a machine-learning network, which implements policies to process RF signals, are adjusted by controlling the radio stages. In response to the adjustments, actions performed by one or more controllers of the radio stages are updated. A representation of a subsequent input RF signal is processed using the radio stages that are controlled based on actions including the updated one or more actions.
A method performed by one or more processors to control processing of radio frequency (RF) signals using a machine-learning network, the method comprising:
One or more non-transitory machine-readable media storing instructions that, when executed by one or more processors, are configured to cause the one or more processors to perform operations to control processing of radio frequency (RF) signals using a machine-learning network, the operations comprising:
A communications system comprising:
Dependencies are inferred from the claim text.