Source Polarization-Adjusted Convolutional Codes

Tyler Kann, Shrinivas Kudekar,Matthieu Bloch

ISIT(2023)

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摘要
Motivated by applications to low-latency secret key generation in physical-layer security, we study Polarization-Adjusted Convolutional (PAC) codes for source coding with side information. Source PAC codes operate in a dual manner to channel PAC codes by introducing a rate-one convolutional code after the polarization transform. The decoding of source PAC codes requires a careful scheduling of the successive cancellation decoder and a careful optimization of the rate profiling. Our empirical results demonstrate the improved performance of source PAC codes over regular polar codes using Successive Cancellation List (SCL) decoding. We illustrate the performance in terms for key generation rate in a secret-key generation setup over an Additive White Gaussian Noise (AWGN) channel, suggesting that PAC codes could improve the performance of physical-layer security schemes at short blocklength.
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关键词
additive white Gaussian noise channel,key generation rate,low-latency secret key generation,physical-layer security schemes,rate profiling,rate-one convolutional code,regular polar codes,short blocklength,source coding,source PAC codes,source polarization-adjusted convolutional codes,successive cancellation list decoding
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