Machine Learning for Accelerated IBFD Tuning
A network device includes a transceiver configured to concurrently transmit signals and receive signals within a single frequency band resulting in radio-frequency signal interference. The device includes an analog canceler configured to mitigate the signal interference. The device includes a neural network that receives data that describes characteristics of the signal interference and provides coefficients for the analog canceler as outputs. The neural network-generated coefficients are applied to the analog canceler which uses them to cancel the signal interference.
Researchers
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methods and apparatus for analog canceler tuning using neural networks
United States of America | Granted | 11,626,966
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