Fast-Switchable 3.6 GHz GaN Doherty Power Amplifier for Energy-Efficient Non-Continuous Transmission of 256-QAM Signals

Research output: Contribution to book/Conference proceedings/Anthology/ReportConference contributionContributedpeer-review

Abstract

Doherty power amplifiers (DPAs) allow efficient amplification of continuous signals with high peak-to-average power ratio (PAPR). However, when transmission is not continuous, it is beneficial to turn-off the PA to uphold the high dc-to-RF efficiency. This paper presents a 41 dBm DPA with a power-added-efficiency (PAE) around 50 % over 6 dB back-off and fast operating point switching (OPS) between sleep and active state. To study the impact of OPS on signal quality, the error vector magnitude (EVM) is studied for a 256 quadrature amplitude modulation (QAM) signal under OPS conditions. At a peak envelope power of 40 dBm, the average EVM remains below 3.5 % even when turning off the PA between transmission bursts. When in sleep state, energy consumption is reduced from 1.5 W to 1 mW, enabling highly-efficient operation regardless of network load.

Details

Original languageEnglish
Title of host publication2025 IEEE/MTT-S International Microwave Symposium - IMS 2025
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages1095-1098
Number of pages4
ISBN (electronic)9798331514099
ISBN (print)979-8-3315-1410-5
Publication statusPublished - Jun 2025
Peer-reviewedYes

Conference

Title2025 IEEE MTT-S International Microwave Symposium
Abbreviated titleIMS 2025
Duration15 - 20 June 2025
Website
Degree of recognitionInternational event
LocationMoscone Center
CitySan Francisco
CountryUnited States of America

External IDs

ORCID /0000-0001-9692-2808/work/190133507
ORCID /0000-0002-0088-8412/work/190134001
ORCID /0009-0005-9696-2021/work/190134981
Scopus 105014239665

Keywords

Keywords

  • Energy consumption, Peak to average power ratio, Power generation, Power measurement, Quadrature amplitude modulation, Switches, Time measurement, digital modulation, duty-cycling, GaN, power