A Monte-Carlo Based Construction of Polarization-Adjusted Convolutional (PAC) Codes

06/15/2021
by   Mohsen Moradi, et al.
0

This paper proposes a rate-profile construction method for polarization-adjusted convolutional (PAC) codes of any code length and rate, which is capable of maintaining trade-off between the error-correction performance and decoding complexity of PAC code. The proposed method can improve the error-correction performance of PAC codes while guaranteeing a low mean sequential decoding complexity for signal-to-noise ratio (SNR) values beyond a target SNR value.

READ FULL TEXT

Please sign up or login with your details

Forgot password? Click here to reset