Reduced-complexity digital predistortion for massive MIMO

Mahmoud Abdelaziz, Lauri Anttila, Mikko Valkama

    Tutkimustuotos: KonferenssiartikkeliScientificvertaisarvioitu

    13 Sitaatiot (Scopus)
    25 Lataukset (Pure)

    Abstrakti

    A novel reduced-complexity digital predistortion (DPD) solution is presented in this paper. The proposed DPD can suppress the unwanted distortions due to power amplifier (PA) nonlinearity and I/Q modulator impairments in direct conversion transmitters using reduced-bandwidth filtered basis functions. Moreover, the DPD parameter estimation is based on very simple decorrelation based closed-loop processing and reduced-bandwidth observation, thus further reducing the overall complexity. The proposed DPD can be used in large array or massive MIMO systems with large number of radio transceivers and PAs, where reducing the complexity of the DPD processing is very critical.

    AlkuperäiskieliEnglanti
    Otsikko2017 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2017 - Proceedings
    KustantajaIEEE
    Sivut6478-6482
    Sivumäärä5
    ISBN (elektroninen)9781509041176
    DOI - pysyväislinkit
    TilaJulkaistu - 16 kesäk. 2017
    OKM-julkaisutyyppiA4 Artikkeli konferenssijulkaisussa
    TapahtumaIEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING -
    Kesto: 1 tammik. 19001 tammik. 2000

    Julkaisusarja

    Nimi
    ISSN (elektroninen)2379-190X

    Conference

    ConferenceIEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING
    Ajanjakso1/01/001/01/00

    Julkaisufoorumi-taso

    • Jufo-taso 1

    !!ASJC Scopus subject areas

    • Software
    • Signal Processing
    • Electrical and Electronic Engineering

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