  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.
