Data-Parallel Implementation of Reconfigurable Digital Predistortion on a Mobile GPU

Amanullah Ghazi, Jani Boutellier, Lauri Anttila, Markku Juntti, Mikko Valkama

    Tutkimustuotos: KonferenssiartikkeliScientificvertaisarvioitu

    2 Sitaatiot (Scopus)

    Abstrakti

    3GPP LTE-A offers new technologies such as non-contiguous carrier allocation for improving radio spectrum utilization. However, implementation of these technologies is challenging because of intermodulation distortion caused by non- linearity of components. Digital Predistortion (DPD) offers a way for compensating for these nonlinearities by modifying the digital baseband signal. As most consumer-oriented mobile devices are equipped with powerful Graphics Processing Units (GPUs), it has become possible to implement DPD functionality to such devices with no additional hardware cost. In this paper, we propose data- parallel, reconfigurable predistortion and measure its performance on mobile GPUs: Qualcomm Adreno 330 and ARM Mali T628.
    AlkuperäiskieliEnglanti
    Otsikko2015 49th Asilomar Conference on Signals, Systems and Computers
    KustantajaIEEE
    Sivumäärä6
    ISBN (elektroninen)978-1-4673-8576-3
    DOI - pysyväislinkit
    TilaJulkaistu - helmik. 2016
    OKM-julkaisutyyppiA4 Artikkeli konferenssijulkaisussa
    TapahtumaASILOMAR CONFERENCE ON SIGNALS, SYSTEMS AND COMPUTERS -
    Kesto: 1 tammik. 1900 → …

    Conference

    ConferenceASILOMAR CONFERENCE ON SIGNALS, SYSTEMS AND COMPUTERS
    Ajanjakso1/01/00 → …

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