Mitigation of phase noise in massive MIMO systems: A rate-splitting approach

Anastasios Papazafeiropoulos, Bruno Clerckx, Tharmalingam Ratnarajah

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    10 Citations (Scopus)

    Abstract

    This work encompasses Rate-Splitting (RS), providing significant benefits in multi-user settings in the context of huge degrees of freedom promised by massive Multiple-Input Multiple-Output (MIMO). However, the requirement of massive MIMO for cost-efficient implementation makes them more prone to hardware imperfections such as phase noise (PN). As a result, we focus on a realistic broadcast channel with a large number of antennas and hampered by the unavoidable PN. Moreover, we employ the RS transmission strategy, and we show its robustness against PN, since the sum-rate does not saturate at high signal-to-noise ratio (SNR). Although, the analytical results are obtained by means of the deterministic equivalent analysis, they coincide with simulation results even for finite system dimensions.

    Original languageEnglish
    Title of host publication2017 IEEE International Conference on Communications, ICC 2017
    EditorsMerouane Debbah, David Gesbert, Abdelhamid Mellouk
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    ISBN (Electronic)9781467389990
    DOIs
    Publication statusPublished - 2017 Jul 28
    Event2017 IEEE International Conference on Communications, ICC 2017 - Paris, France
    Duration: 2017 May 212017 May 25

    Publication series

    NameIEEE International Conference on Communications
    ISSN (Print)1550-3607

    Other

    Other2017 IEEE International Conference on Communications, ICC 2017
    Country/TerritoryFrance
    CityParis
    Period17/5/2117/5/25

    Bibliographical note

    Publisher Copyright:
    © 2017 IEEE.

    Keywords

    • Rate-splitting
    • deterministic equivalent analysis
    • massive MIMO
    • phase noise
    • regularized zero-forcing precoding

    ASJC Scopus subject areas

    • Computer Networks and Communications
    • Electrical and Electronic Engineering

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