Performance Evaluation of Unsourced Multiple Access with Polarization-Adjusted Convolutional Coding

The concept of unsourced multiple access (UMAC) has been developed toward the massive access scenario in future wireless communications. Recently, a basic framework of UMAC has been proposed where every message is encoded by polar codes. In this contribution, we extend the utilization of polarization-adjusted convolutional (PAC) codes into the aforementioned framework, in order to reap its advantage in excellent error performance in the context of short block length. The performance comparisons of the above mentioned schemes demonstrate that the new structure of UMAC with PAC codes is capable of exhibiting improved error performance with reducing complexity when compared to that with polar codes.