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.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

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


    Contributors:
    Sun, Zhuangzhuang (author) / Xiao, Yue (author) / Lin, Dengsheng (author) / Xu, Xinwei (author)


    Publication date :

    2022-06-01


    Size :

    328165 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Polar Coding and Sparse Spreading for Massive Unsourced Random Access

    Zheng, Mengfan / Wu, Yongpeng / Zhang, Wenjun | IEEE | 2020


    Federated Learning with Unsourced Random Access

    Tian, Yuqing / Che, Jingze / Zhang, Zhaoyang et al. | IEEE | 2023


    A Polar Code Based Unsourced Random Access for the Gaussian MAC

    Marshakov, Evgeny / Balitskiy, Gleb / Andreev, Kirill et al. | IEEE | 2019


    A Slotted Polar Random Spreading Scheme for Massive MIMO Unsourced Random Access

    Liang, Zijie / Su, Yiwei / Song, Huiying et al. | IEEE | 2023


    Implementation of Polarization Matching Technique for Polarization Division Multiple Access

    Lee, Sangheon / Jo, Hanshin / Mun, Cheol et al. | IEEE | 2017