To achieve high spectral efficiency, a modern cellular network such as LTE or 5G New Radio (NR) aims to operate with full frequency reuse. This deployment will significantly increase the level of Co-Channel Interference (CCI) for cell-edge User Equipments (UEs), and the CCI has become a major throughput-limiting factor. Thus, the suppression of CCI in the 5G network is the most important feature to increase downlink throughput. In order to mitigate CCI, Interference Whitening (IW) is an effective low-complexity linear method to suppress colored interference in a MIMO-OFDM system. However, conventional IW can degrade the performance when the noise-dominant environment due to limited samples, e.g., DMRS (De-Modulation Reference Signal). To address that, we propose a Reinforcement Learning based Interference Whitening (RL-IW) that adaptively controls the IW mode by learning algorithm. The experimental results show that RL-IW has performance gain in terms of both BLER (Block Error Rate) and downlink throughput than conventional IW.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    The Reinforcement Learning based Interference Whitening Scheme for 5G


    Beteiligte:
    Park, Kwonyeol (Autor:in) / Kim, Hyungjong (Autor:in) / Kwon, Daecheol (Autor:in) / Kim, Haejoon (Autor:in) / Kang, Hwanmin (Autor:in) / Shin, Min-Ho (Autor:in) / Kim, Jonghan (Autor:in) / Hur, Woonhaing (Autor:in)


    Erscheinungsdatum :

    01.04.2021


    Format / Umfang :

    2559513 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Machine Learning based Interference Whitening in 5G NR MIMO Receiver

    Chaudhari, Shailesh / Kwon, HyukJoon | IEEE | 2022


    Interference Whitening per sub-band in WLANs

    Sayed, Mostafa / Duan, Ruchen / Ahn, Minki et al. | IEEE | 2020


    Impulse interference mitigation method based on joint compressed sensing and whitening of interference

    Liu, Haitao / Zhang, Zhimei / Cheng, Wei et al. | British Library Online Contents | 2015


    Reinforcement Learning Based Interference Coordination for Port Communications

    Li, Siyao / Liu, Chuhuan / Chen, Yifan et al. | IEEE | 2024


    Airborne adaptive MTI scheme with preventing the whitening of the target

    Huang Yong / Peng Yingning / Wang Xiqin | IEEE | 1999