Two-Step Simulation Scheme of Power Amplifiers for Digital Predistortion Assessment in 5G Systems

Carolina Pedrosa, Pierre Almairac, Peter Rashev, Germain Pham Dang-Kien, Joe Bachi, Patricia Desgreys

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

Abstract

Digital Predistortion (DPD) is a powerful technique for enhancing the linearity of RF Power Amplifiers (PAs) and decreasing distortion effects within communication channels. This paper proposes a new methodology to better predict final Adjacent Channel Leakage Ratio (ACLR) after linearization, giving insight into the PA behavior in DPD. The presented methodology is called Two-Step simulation and employs an adaptive modeling system derived from closed-loop DPD static polynomial systems, enabling PA designers to compare results across various DPD configurations. This approach is faster than a hardware setup and reduces the risk of damaging new PAs due to diverging DPD configurations. The methodology was validated through simulations and measurements of a PA board with a 5G New Radio 100 MHz signal with 8.5 dB Peak-to-A verage Power Ration and centered at 2.6 GHz, which showed an increase in the prediction accuracy of final ACLR, DPD configuration degradation and spectral asymmetries for all tested DPD configurations.

Original languageEnglish
Title of host publication2024 22nd IEEE Interregional NEWCAS Conference, NEWCAS 2024
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages35-39
Number of pages5
ISBN (Electronic)9798350361759
DOIs
Publication statusPublished - 1 Jan 2024
Externally publishedYes
Event22nd IEEE Interregional NEWCAS Conference, NEWCAS 2024 - Sherbrooke, Canada
Duration: 16 Jun 202419 Jun 2024

Publication series

Name2024 22nd IEEE Interregional NEWCAS Conference, NEWCAS 2024

Conference

Conference22nd IEEE Interregional NEWCAS Conference, NEWCAS 2024
Country/TerritoryCanada
CitySherbrooke
Period16/06/2419/06/24

Keywords

  • ACLR prediction
  • digital predistortion
  • generalized memory polynomial
  • linearizability prediction
  • nonlinear analysis
  • power amplifier (PA)
  • simulated DPD

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