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Machine learning-based methods for piecewise digital predistortion in mmW 5G NR systems

Year of publication

2024

Authors

Bulusu, S. S. Krishna Chaitanya; Tervo, Nuutti; Susarla, Praneeth; Silvén, Olli; Sillanpää, Mikko. J.; Leinonen, Marko E.; Juntti, Markku; Pärssinen, Aarno

Organizations and authors

University of Oulu

Sillanpää Mikko Orcid -palvelun logo

Silvén Olli Orcid -palvelun logo

Susarla Praneeth

Pärssinen Aarno Orcid -palvelun logo

Bulusu Krishna Chaitanya Orcid -palvelun logo

Juntti Markku Orcid -palvelun logo

Leinonen Marko E. Orcid -palvelun logo

Tervo Nuutti

Publication type

Publication format

Article

Parent publication type

Journal

Article type

Original article

Audience

Scientific

Peer-reviewed

Peer-Reviewed

MINEDU's publication type classification code

A1 Journal article (refereed), original research

Publication channel information

Publisher

Springer

Volume

2024

Article number

97

​Publication forum

55599

​Publication forum level

1

Open access

Open access in the publisher’s service

Yes

Open access of publication channel

Fully open publication channel

License of the publisher’s version

CC BY

Self-archived

Yes

License of the self-archived publication

CC BY

Article processing fee (EUR)

1266

Year of payment for the open publication fee

2024

Other information

Fields of science

Electronic, automation and communications engineering, electronics

Keywords

[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Internationality of the publisher

International

Language

English

International co-publication

No

Co-publication with a company

No

DOI

10.1186/s13634-024-01191-7

The publication is included in the Ministry of Education and Culture’s Publication data collection

Yes