High Performance Interference Suppression in Multi-User Massive MIMO Detector

Andrey Ivanov, Alexander Osinsky, Dmitriy Lakontsev, Dmitry Yarotskiy

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    3 Citations (Scopus)


    In this paper, we propose a new nonlinear detector with improved interference suppression in Multi-User Multiple Input, Multiple Output (MU-MIMO) system. The proposed detector is a combination of the following parts: QR decomposition (QRD), low complexity users sorting before QRD, sorting-reduced (SR) K-best method and minimum mean square error (MMSE) preprocessing. Our method outperforms a linear interference rejection combining (IRC, i.e. MMSE naturally) method significantly in both strong interference and additive white noise scenarios with both ideal and real channel estimations. This result has wide application importance for scenarios with strong interference, i.e. when co-located users utilize the internet in stadium, highway, shopping center, etc. Simulation results are presented for the non-line of sight 3D-UMa model of 5G QuaDRiGa 2.0 channel for 16 highly correlated single-antenna users with QAM16 modulation in 64 antennas of Massive MIMO system. The performance was compared with MMSE and other detection approaches.

    Original languageEnglish
    Title of host publication2020 IEEE 91st Vehicular Technology Conference, VTC Spring 2020 - Proceedings
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    ISBN (Electronic)9781728152073
    Publication statusPublished - May 2020
    Event91st IEEE Vehicular Technology Conference, VTC Spring 2020 - Antwerp, Belgium
    Duration: 25 May 202028 May 2020

    Publication series

    NameIEEE Vehicular Technology Conference
    ISSN (Print)1550-2252


    Conference91st IEEE Vehicular Technology Conference, VTC Spring 2020


    • Interference Cancellation
    • Massive MIMO
    • MIMO Detection
    • Multi-User MIMO


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