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

Pablo Pascual Campo; Vesa Lampu; Alexandre Meirhaeghe; Jani Boutellier; Lauri Anttila; Mikko Valkama

doi:10.1007/s11265-019-01502-4

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

Pablo Pascual Campo, Vesa Lampu, Alexandre Meirhaeghe, Jani Boutellier, Lauri Anttila, Mikko Valkama

Research output: Contribution to journal › Article › Scientific › peer-review

11 Citations (Scopus)

76 Downloads (Pure)

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.

Original language	English
Pages (from-to)	475–486
Number of pages	12
Journal	Journal of Signal Processing Systems
Volume	92
Early online date	2019
DOIs	https://doi.org/10.1007/s11265-019-01502-4
Publication status	Published - 2020
Publication type	A1 Journal article-refereed

Funding

This work was supported by the Academy of Finland (under the projects #304147 ”In-Band Full-Duplex Radio Technology: Realizing Next Generation Wireless Transmission”, and #301820 ”Competitive Funding to Strengthen University Research Profiles”), the Finnish Funding Agency for Innovation (Tekes, under the projects ”5G Transceivers for Base Stations and Mobile Devices (5G TRx)” and ”TAKE-5”), Nokia Networks, RF360 Europe, Pulse, Sasken, and Huawei Technologies, Finland. Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Keywords

5G
Digital predistortion (DPD)
GPU
High data rate
Real-time

Publication forum classification

Publication forum level 1

ASJC Scopus subject areas

Control and Systems Engineering
Theoretical Computer Science
Signal Processing
Information Systems
Modelling and Simulation
Hardware and Architecture

Access to Document

10.1007/s11265-019-01502-4Licence: CC BY

Digital Predistortion for 5G Small Cell 2020Final published version, 2.01 MBLicence: CC BY

http://urn.fi/URN:NBN:fi:tuni-202001171372Licence: CC BY

Cite this

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AU - Anttila, Lauri

AU - Valkama, Mikko

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

Abstract

Funding

Keywords

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ASJC Scopus subject areas

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