Non-linear precoding outperforms linear precoding in a multi-user multi-input multi-output (MU-MIMO) system. The actual gain depends on multiple factors, including number of users, user distribution in the system, etc. Furthermore, to achieve the promised gain, non-linear precoding requires a higher implementation complexity which has prevented its adoption into the 3rd Generation Partnership Project (3GPP) standards. In many practical scenarios, the number of paired users for MU-MIMO remains low. When the number of paired scheduled users for MU-MIMO systems is low, the complexity of non-linear precoding becomes less significant. In this paper, we show that, even when, the number of paired users for MU-MIMO is not more than two, non-linear precoding can still offer a meaningful performance improvement over the linear precoding. For our study, under 3GPP new radio framework, we have evaluated and compared the performance of Tomlinson-Harashima non-linear precoding against a block diagonalized linear precoding.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Evaluation of Tomlinson-Harashima Precoding for Cellular System


    Contributors:


    Publication date :

    2024-10-07


    Size :

    13327336 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Decentralization of Tomlinson-Harashima Precoding for MU-MIMO System

    Zhu, Jun / Xu, Yin / Yi, Guanli et al. | IEEE | 2024



    Modulo loss reduction in spatial multiplexing systems with Tomlinson-Harashima precoding

    Debels, Erica / Suls, Adriaan / Moeneclaey, Marc | IEEE | 2015


    Enhanced Codebook Assisted Tomlinson-Harashima Precoding with Low Feed-Forward Overhead

    Yang, Yuming / Zheng, Kaili / Song, Yang et al. | IEEE | 2019


    An Extension of Tomlinson-Harashima Precoding for Downlink Multi-User MIMO Systems

    Hoshino, Kenji / Mikami, Manabu / Maiti, Sourabh et al. | IEEE | 2017