Digital Predistortion with Compressed Observations for Cloud-Based Learning

Arne Fischer-Bühner, Emil Matus, Manil Dev Gomony, Lauri Anttila, Gerhard Fettweis, Mikko Valkama

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

1 Citation (Scopus)
69 Downloads (Pure)

Abstract

This paper presents a novel system architecture for digital predistortion (DPD) of power amplifiers (PA), where the training of the DPD model is done in a remote compute infrastructure i.e. cloud or a distributed unit (DU). In beyond-5G systems it is no longer feasible to perform computationally intensive tasks such as DPD training locally in the radio unit front-end which has stringent power consumption requirements. Thus, we propose to split the DPD system and perform the compute-intensive DPD training in the DU where more processing resources are available. To enable the distant training, the observed PA output, i.e. the observation signal, must be available, however, sending the data-intensive observation signal to the DU adds additional communication overhead to the system. In this paper, a low-complexity compression method is proposed to reduce the bit-resolution of the observation signal by removing the known linear part in the observation to use fewer bits to represent the remaining information. Our numerical simulations show a reduction of 50 % of bits/samples for the accurate training of the DPD model. The DPD performance was evaluated based on simulation for a strongly driven PA operated at 28 GHz with a 200 MHz wide OFDM signal.
Original languageEnglish
Title of host publication2021 IEEE Workshop on Signal Processing Systems (SiPS)
Place of PublicationCoimbra, Portugal
PublisherIEEE
Pages40
Number of pages45
ISBN (Electronic)978-1-6654-0144-9
ISBN (Print)978-1-6654-0145-6
DOIs
Publication statusPublished - 19 Oct 2021
Publication typeA4 Article in conference proceedings
EventIEEE Workshop on Signal Processing Systems -
Duration: 19 Oct 202121 Oct 2021

Publication series

Name
ISSN (Electronic)2374-7390

Conference

ConferenceIEEE Workshop on Signal Processing Systems
Period19/10/2121/10/21

Keywords

  • Digital predistortion (DPD)
  • Beyond-5G
  • Nonlinear distortion
  • Power amplifier
  • Power efficiency

Publication forum classification

  • Publication forum level 1

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