AI model with error-detection code for fault correction in 5G/6G
OwnerDavid E. Newman, R. Kemp Massengillinventors
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OwnerDavid E. Newman, R. Kemp Massengillinventors
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Message faulting is a critical unsolved problem for 5G and 6G. Disclosed herein is a method for combining an AI-based analysis of the waveform data of each message element, plus the constraint of an associated error-detection code (such as a CRC or parity construct of the correct message) to localize and, in many cases, correct a limited number of faults per message, without a retransmission. For example, the waveform data may include a deviation of the amplitude or phase of a particular message element, relative to an average of the amplitudes or phases of the other message elements that have the same demodulation value. The outliers are thereby exposed as the most likely faulted message elements. In addition, using the error-detection code, the AI model can determine the most likely corrected message, thereby avoiding retransmission delays and power usage and other costs.
A method for a wireless receiver to demodulate a message, the method comprising:
Non-transitory computer-readable media in a wireless receiver, the non-transitory computer-readable media containing instructions that, when executed by a computing environment, cause a method to be performed, the method comprising:
A method for a wireless receiver to correct a corrupted message comprising an error-detection code, the method comprising:
Dependencies are inferred from the claim text.