AI Model with Error-Detection Code for Fault Correction in 5G/6G

    公开(公告)号:US20240063942A1

    公开(公告)日:2024-02-22

    申请号:US18502054

    申请日:2023-11-05

    CPC classification number: H04L1/0046 H04L1/0061 H04L1/0064

    Abstract: 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.

    Error correction in 5G and 6G using AI-based analog-digital correlations

    公开(公告)号:US11799585B2

    公开(公告)日:2023-10-24

    申请号:US18318017

    申请日:2023-05-16

    CPC classification number: H04L1/0046 H04L1/0061 H04L1/0064

    Abstract: Artificial Intelligence (AI) is well-suited to mitigate message faults by combining analog and digital information in 5G and 6G communications. The analog information includes everything measureable about the waveform signal as-received, and the digital information includes the error-detection code accompanying the message. For example, the AI model can localize the most likely faulted message elements according to amplitude fluctuations or phase deviations or other signaling irregularity, and can then use the error-detection code to calculate the corrected values of the faulted message elements. The AI model can also check the error-detection code itself for faults and consistency, as well as a demodulation reference that was used to demodulate the message, thereby avoiding a defective mitigation if either of those is faulted. The AI model can provide output including the most likely corrected version of the message, as well as a comparison with other possible versions, if any.

    PACKET ENCODING BASED ON RAPTOR CODES TO ENABLE ADAPTIVE PHYSICAL LAYER ERROR RATE DETERMINATION OR SELECTION

    公开(公告)号:US20230198668A1

    公开(公告)日:2023-06-22

    申请号:US17996072

    申请日:2020-04-24

    CPC classification number: H04L1/0064 H04L1/0046 H04L1/0041

    Abstract: In one aspect of the disclosure, a method of wireless communication performed by a receiving device includes receiving, from a transmitting device, a plurality of encoded packets each including at least one respective physical (PHY) layer symbol. The method includes decoding the plurality of encoded packets based on a raptor code to generate received data. The method also includes determining a signal-to-interference-plus-noise ratio (SINR) associated with receiving the plurality of encoded packets, receiving an indication from the transmitting device, or determining a channel quality indicator (CQI) or a modulation and coding scheme (MCS) associated with receiving the plurality of encoded packets. The method further includes adaptively determining a PHY packet error rate associated with the plurality of encoded packets based on the SINR, the indication, the CQI, or the MCS. Other aspects and features are also claimed and described.

    METHOD FOR CONFIGURING CIRCULAR BUFFER INCLUDING OUTER CODE PARITY AND APPARATUS THEREFOR

    公开(公告)号:US20180269899A1

    公开(公告)日:2018-09-20

    申请号:US15458712

    申请日:2017-03-14

    Abstract: A method and corresponding user equipment (UE) for configuring a circular buffer in a wireless communication system. The method includes: generating a code block including a payload, a first outer code parity, and a second outer code parity from an input signal based on an outer code in a higher layer; generating a codeword from the code block based on an inner code in a physical layer; and configuring a circular buffer including the codeword and one or more second outer code parities. The first outer code parity is generated based on a first portion of the payload, the one or more second outer code parities, to which an encoding is not applied in the physical layer, are generated based on a second portion of the payload, at least a part of the second portion is different from the first portion, the codeword includes the payload, the first outer code parity, and an inner code parity generated from at least part of the code block based on the inner code, and a number of the one or more second outer code parities in the circular buffer is determined according to a maximum size of the codeword or an amount of resources for transmission.

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