Mobile GPU Accelerated Digital Predistortion on a Software-defined Mobile Transmitter

Kaipeng Li; Amanullah Ghazi; Jani Boutellier; Mahmoud Abdelaziz; Lauri Anttila; Markku Juntti; Mikko Valkama; Joseph R. Cavallaro

doi:10.1109/GlobalSIP.2015.7418298

Mobile GPU Accelerated Digital Predistortion on a Software-defined Mobile Transmitter

Kaipeng Li, Amanullah Ghazi, Jani Boutellier, Mahmoud Abdelaziz, Lauri Anttila, Markku Juntti, Mikko Valkama, Joseph R. Cavallaro

Tutkimustuotos: Konferenssiartikkeli › Scientific › vertaisarvioitu

5 Sitaatiot (Scopus)

Abstrakti

We present the design exploration and the performance evaluation of a mobile transmitter digital predistortion (DPD) module on a mobile GPU. Digital predistortion is a widely used technique for suppressing the spurious spectrum emission caused by the imperfection of power amplifier and radio frequency (RF) circuits in a real wireless transmitter. Considering the parallel architecture, numerous computing cores and programmability of GPU, in this work, a DPD design based on augmented parallel Hammerstein structure is implemented on a mobile GPU integrated in an Nvidia Jetson TK1 mobile development board, targeting at a mobile transmitter. The algorithm level and data level parallelism are carefully explored for efficient mapping of the DPD algorithm and full utilization of the mobile GPU resources. We analyze the throughput and timing performance of our implementation and verify the functionality of DPD experimentally on a novel software-defined mobile terminal. The results show that our proposed mobile GPU driven digital predistortion design not only achieves real-time high performance, but also offers programmability and reconfigurability for design upgrading and extension.

Alkuperäiskieli	Englanti
Otsikko	IEEE Global Conference on Signal and Information Processing (IEEE GlobalSIP 2015)
Kustantaja	IEEE
Sivut	756-760
ISBN (elektroninen)	978-1-4799-7590-7
ISBN (painettu)	9781479975914
DOI - pysyväislinkit	https://doi.org/10.1109/GlobalSIP.2015.7418298
Tila	Julkaistu - 2015
OKM-julkaisutyyppi	A4 Artikkeli konferenssijulkaisussa
Tapahtuma	IEEE GLOBAL CONFERENCE ON SIGNAL AND INFORMATION PROCESSING - Kesto: 1 tammik. 1900 → …

Conference

Conference	IEEE GLOBAL CONFERENCE ON SIGNAL AND INFORMATION PROCESSING
Ajanjakso	1/01/00 → …

Julkaisufoorumi-taso

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10.1109/GlobalSIP.2015.7418298

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@inproceedings{148238b71f774045887fd6be810271b1,

title = "Mobile GPU Accelerated Digital Predistortion on a Software-defined Mobile Transmitter",

abstract = "We present the design exploration and the performance evaluation of a mobile transmitter digital predistortion (DPD) module on a mobile GPU. Digital predistortion is a widely used technique for suppressing the spurious spectrum emission caused by the imperfection of power amplifier and radio frequency (RF) circuits in a real wireless transmitter. Considering the parallel architecture, numerous computing cores and programmability of GPU, in this work, a DPD design based on augmented parallel Hammerstein structure is implemented on a mobile GPU integrated in an Nvidia Jetson TK1 mobile development board, targeting at a mobile transmitter. The algorithm level and data level parallelism are carefully explored for efficient mapping of the DPD algorithm and full utilization of the mobile GPU resources. We analyze the throughput and timing performance of our implementation and verify the functionality of DPD experimentally on a novel software-defined mobile terminal. The results show that our proposed mobile GPU driven digital predistortion design not only achieves real-time high performance, but also offers programmability and reconfigurability for design upgrading and extension.",

author = "Kaipeng Li and Amanullah Ghazi and Jani Boutellier and Mahmoud Abdelaziz and Lauri Anttila and Markku Juntti and Mikko Valkama and Cavallaro, {Joseph R.}",

year = "2015",

doi = "10.1109/GlobalSIP.2015.7418298",

language = "English",

isbn = "9781479975914",

pages = "756--760",

booktitle = "IEEE Global Conference on Signal and Information Processing (IEEE GlobalSIP 2015)",

publisher = "IEEE",

note = "IEEE Global Conference on Signal and Information Processing ; Conference date: 01-01-1900",

}

Li, K, Ghazi, A, Boutellier, J, Abdelaziz, M, Anttila, L, Juntti, M, Valkama, M & Cavallaro, JR 2015, Mobile GPU Accelerated Digital Predistortion on a Software-defined Mobile Transmitter. julkaisussa IEEE Global Conference on Signal and Information Processing (IEEE GlobalSIP 2015) . IEEE, Sivut 756-760, IEEE GLOBAL CONFERENCE ON SIGNAL AND INFORMATION PROCESSING, 1/01/00. https://doi.org/10.1109/GlobalSIP.2015.7418298

TY - GEN

T1 - Mobile GPU Accelerated Digital Predistortion on a Software-defined Mobile Transmitter

AU - Li, Kaipeng

AU - Ghazi, Amanullah

AU - Boutellier, Jani

AU - Abdelaziz, Mahmoud

AU - Anttila, Lauri

AU - Juntti, Markku

AU - Valkama, Mikko

AU - Cavallaro, Joseph R.

PY - 2015

Y1 - 2015

N2 - We present the design exploration and the performance evaluation of a mobile transmitter digital predistortion (DPD) module on a mobile GPU. Digital predistortion is a widely used technique for suppressing the spurious spectrum emission caused by the imperfection of power amplifier and radio frequency (RF) circuits in a real wireless transmitter. Considering the parallel architecture, numerous computing cores and programmability of GPU, in this work, a DPD design based on augmented parallel Hammerstein structure is implemented on a mobile GPU integrated in an Nvidia Jetson TK1 mobile development board, targeting at a mobile transmitter. The algorithm level and data level parallelism are carefully explored for efficient mapping of the DPD algorithm and full utilization of the mobile GPU resources. We analyze the throughput and timing performance of our implementation and verify the functionality of DPD experimentally on a novel software-defined mobile terminal. The results show that our proposed mobile GPU driven digital predistortion design not only achieves real-time high performance, but also offers programmability and reconfigurability for design upgrading and extension.

AB - We present the design exploration and the performance evaluation of a mobile transmitter digital predistortion (DPD) module on a mobile GPU. Digital predistortion is a widely used technique for suppressing the spurious spectrum emission caused by the imperfection of power amplifier and radio frequency (RF) circuits in a real wireless transmitter. Considering the parallel architecture, numerous computing cores and programmability of GPU, in this work, a DPD design based on augmented parallel Hammerstein structure is implemented on a mobile GPU integrated in an Nvidia Jetson TK1 mobile development board, targeting at a mobile transmitter. The algorithm level and data level parallelism are carefully explored for efficient mapping of the DPD algorithm and full utilization of the mobile GPU resources. We analyze the throughput and timing performance of our implementation and verify the functionality of DPD experimentally on a novel software-defined mobile terminal. The results show that our proposed mobile GPU driven digital predistortion design not only achieves real-time high performance, but also offers programmability and reconfigurability for design upgrading and extension.

U2 - 10.1109/GlobalSIP.2015.7418298

DO - 10.1109/GlobalSIP.2015.7418298

M3 - Conference contribution

SN - 9781479975914

SP - 756

EP - 760

BT - IEEE Global Conference on Signal and Information Processing (IEEE GlobalSIP 2015)

PB - IEEE

T2 - IEEE Global Conference on Signal and Information Processing

Y2 - 1 January 1900

ER -

Mobile GPU Accelerated Digital Predistortion on a Software-defined Mobile Transmitter

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