Iterative nonlinear detection and decoding in multi-user massive MIMO

Andrey Ivanov, Andrey Savinov, Dmitry Yarotsky

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

    13 Citations (Scopus)

    Abstract

    In this paper, we propose a new candidates list re-calculating to improve performance of iterative nonlinear detection and decoding in Multi-User (MU) Massive Multiple Input, Multiple Output (MIMO) system. The proposed nonlinear iterative detector includes a new algorithm of users (UEs) sorting before QR decomposition (QRD) and a new sorting-reduced (SR) K-best method. If MIMO detector is based on a candidates list updates, the performance can be improved by the candidates list re-calculating or using a priori information in the list generation. This is natural, because the quality of the candidates list is likely to be improved by using the decoder output as a priori information. We analyze the convergence of combining the detection algorithms with the soft low-density parity-check (LDPC) decoder. Simulation results are presented in 5G QuaDRiGa channel with QAM64 modulation in 48 × 64 MIMO system and compared with other state-of-art approaches.

    Original languageEnglish
    Title of host publication2019 15th International Wireless Communications and Mobile Computing Conference, IWCMC 2019
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Pages573-578
    Number of pages6
    ISBN (Electronic)9781538677476
    DOIs
    Publication statusPublished - Jun 2019
    Event15th IEEE International Wireless Communications and Mobile Computing Conference, IWCMC 2019 - Tangier, Morocco
    Duration: 24 Jun 201928 Jun 2019

    Publication series

    Name2019 15th International Wireless Communications and Mobile Computing Conference, IWCMC 2019

    Conference

    Conference15th IEEE International Wireless Communications and Mobile Computing Conference, IWCMC 2019
    Country/TerritoryMorocco
    CityTangier
    Period24/06/1928/06/19

    Keywords

    • Iterative Detection and Decoding
    • Massive MIMO
    • Multi-User MIMO

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