A neural CRC predictor with fixed scattering front-ends and MCS conditioning predicts post-decoding CRC pass/fail from raw 5G NR PUSCH signals, achieving 95% accuracy and 3.91% missed-detection rate on an out-of-distribution test set.
In: IEEE Transactions on Wireless Communications, vol
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Neural CRC Prediction for 5G NR URLLC
A neural CRC predictor with fixed scattering front-ends and MCS conditioning predicts post-decoding CRC pass/fail from raw 5G NR PUSCH signals, achieving 95% accuracy and 3.91% missed-detection rate on an out-of-distribution test set.