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Digital Predistortion for 5G Small Cell: GPU Implementation and RF Measurements

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Digital Predistortion for 5G Small Cell : GPU Implementation and RF Measurements. / Pascual Campo, Pablo; Lampu, Vesa; Meirhaeghe, Alexandre; Boutellier, Jani; Anttila, Lauri; Valkama, Mikko.

julkaisussa: Journal of Signal Processing Systems, 2019.

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Pascual Campo, Pablo ; Lampu, Vesa ; Meirhaeghe, Alexandre ; Boutellier, Jani ; Anttila, Lauri ; Valkama, Mikko. / Digital Predistortion for 5G Small Cell : GPU Implementation and RF Measurements. Julkaisussa: Journal of Signal Processing Systems. 2019.

Bibtex - Lataa

@article{12d166ee94444106b762ba1b185068ef,
title = "Digital Predistortion for 5G Small Cell: GPU Implementation and RF Measurements",
abstract = "In this paper, we present a high data rate implementation of a digital predistortion (DPD) algorithm on a modern mobile multicore CPU containing an on-chip GPU. The proposed implementation is capable of running in real-time, thanks to the execution of the predistortion stage inside the GPU, and the execution of the learning stage on a separate CPU core. This configuration, combined with the low complexity DPD design, allows for more than 400 Msamples/s sample rates. This is sufficient for satisfying 5G new radio (NR) base station radio transmission specifications in the sub-6 GHz bands, where signal bandwidths up to 100 MHz are specified. The linearization performance is validated with RF measurements on two base station power amplifiers at 3.7 GHz, showing that the 5G NR downlink emission requirements are satisfied.",
keywords = "5G, Digital predistortion (DPD), GPU, High data rate, Real-time",
author = "{Pascual Campo}, Pablo and Vesa Lampu and Alexandre Meirhaeghe and Jani Boutellier and Lauri Anttila and Mikko Valkama",
note = "INT=comp,{"}Meirhaeghe, Alexandre{"}",
year = "2019",
doi = "10.1007/s11265-019-01502-4",
language = "English",
journal = "Journal of Signal Processing Systems",
issn = "1939-8018",
publisher = "Springer Verlag",

}

RIS (suitable for import to EndNote) - Lataa

TY - JOUR

T1 - Digital Predistortion for 5G Small Cell

T2 - GPU Implementation and RF Measurements

AU - Pascual Campo, Pablo

AU - Lampu, Vesa

AU - Meirhaeghe, Alexandre

AU - Boutellier, Jani

AU - Anttila, Lauri

AU - Valkama, Mikko

N1 - INT=comp,"Meirhaeghe, Alexandre"

PY - 2019

Y1 - 2019

N2 - In this paper, we present a high data rate implementation of a digital predistortion (DPD) algorithm on a modern mobile multicore CPU containing an on-chip GPU. The proposed implementation is capable of running in real-time, thanks to the execution of the predistortion stage inside the GPU, and the execution of the learning stage on a separate CPU core. This configuration, combined with the low complexity DPD design, allows for more than 400 Msamples/s sample rates. This is sufficient for satisfying 5G new radio (NR) base station radio transmission specifications in the sub-6 GHz bands, where signal bandwidths up to 100 MHz are specified. The linearization performance is validated with RF measurements on two base station power amplifiers at 3.7 GHz, showing that the 5G NR downlink emission requirements are satisfied.

AB - In this paper, we present a high data rate implementation of a digital predistortion (DPD) algorithm on a modern mobile multicore CPU containing an on-chip GPU. The proposed implementation is capable of running in real-time, thanks to the execution of the predistortion stage inside the GPU, and the execution of the learning stage on a separate CPU core. This configuration, combined with the low complexity DPD design, allows for more than 400 Msamples/s sample rates. This is sufficient for satisfying 5G new radio (NR) base station radio transmission specifications in the sub-6 GHz bands, where signal bandwidths up to 100 MHz are specified. The linearization performance is validated with RF measurements on two base station power amplifiers at 3.7 GHz, showing that the 5G NR downlink emission requirements are satisfied.

KW - 5G

KW - Digital predistortion (DPD)

KW - GPU

KW - High data rate

KW - Real-time

U2 - 10.1007/s11265-019-01502-4

DO - 10.1007/s11265-019-01502-4

M3 - Article

JO - Journal of Signal Processing Systems

JF - Journal of Signal Processing Systems

SN - 1939-8018

ER -