Modeling and cancellation of self-interference in full-duplex radio transceivers: Volterra series-based approach

Dani Korpi, Matias Turunen, Lauri Anttila, Mikko Valkama

    Tutkimustuotos: KonferenssiartikkeliScientificvertaisarvioitu

    9 Sitaatiot (Scopus)
    25 Lataukset (Pure)

    Abstrakti

    This paper presents a novel digital self-interference canceller for inband full-duplex radio transceivers. The proposed digital canceller utilizes a Volterra series with sparse memory to model the residual SI signal, and it can thereby accurately reconstruct the self-interference even under a heavily nonlinear transmitter power amplifier. To the best of our knowledge, this is the first time such a sparse-memory Volterra series has been used to model the self-interference within an inband full-duplex device. The performance of the Volterra-based canceller is evaluated with real-life measurements that incorporate also an active analog canceller. The results show that the novel digital canceller suppresses the SI by 34 dB in the digital domain, outperforming the state- of-the-art memory polynomial-based solution by a margin of 5 dB. The total amount of cancellation is nearly 110 dB with a transmit power of +30 dBm, even though a shared transmit/receive antenna is used. To the best of our knowledge, this is the highest reported cancellation performance for a shared-antenna full-duplex device with such a high transmit power level.

    AlkuperäiskieliEnglanti
    Otsikko2018 IEEE International Conference on Communications Workshops
    KustantajaIEEE
    Sivut1-6
    Sivumäärä6
    ISBN (elektroninen)9781538643280
    DOI - pysyväislinkit
    TilaJulkaistu - 3 heinäk. 2018
    OKM-julkaisutyyppiA4 Artikkeli konferenssijulkaisussa
    TapahtumaIEEE International Conference on Communications Workshops -
    Kesto: 1 tammik. 1900 → …

    Conference

    ConferenceIEEE International Conference on Communications Workshops
    Ajanjakso1/01/00 → …

    Julkaisufoorumi-taso

    • Jufo-taso 1

    !!ASJC Scopus subject areas

    • Computer Networks and Communications
    • Computer Science Applications
    • Hardware and Architecture

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