Study on a 0.13-μm CMOS Class-E 2.4 GHz Adjustable Power Amplifier for IoT Application

Jingxuan Li, Yuming Wu*, Xin Lv

*Corresponding author for this work

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

Abstract

Power amplifier (PA) is one of the most power-consuming blocks in a transmitter. It is critical to improve power-added efficiency (PAE) in the design of a PA. This paper presents a 2.4 GHz class-E PA particularly designed with a two-stage architecture. The inverter driver stage outputs a full swing square wave to control the on-off of the power stage. By using cascode self-biased topology in the power stage, the peak drain-gate voltage is reduced and the problem caused by transistor breakdown voltage can be overcome. According to the post-simulated results, the proposed PA provides greater than 35% PAE while delivering adjustable saturation output power (Psat) between 9.3 and 17.6 dBm at the center frequency of 2.4 GHz in 0.13μm CMOS. In the maximum Psat state, the PAE is 40.6% with a 1.2V supply voltage and the optimum load resistance obtained in load-pull simulation.

Original languageEnglish
Title of host publication2022 International Conference on Microwave and Millimeter Wave Technology, ICMMT 2022 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665467520
DOIs
Publication statusPublished - 2022
Event14th International Conference on Microwave and Millimeter Wave Technology, ICMMT 2022 - Harbin, China
Duration: 12 Aug 202215 Aug 2022

Publication series

Name2022 International Conference on Microwave and Millimeter Wave Technology, ICMMT 2022 - Proceedings

Conference

Conference14th International Conference on Microwave and Millimeter Wave Technology, ICMMT 2022
Country/TerritoryChina
CityHarbin
Period12/08/2215/08/22

Keywords

  • CMOS power amplifier
  • Class-E
  • power control range

Fingerprint

Dive into the research topics of 'Study on a 0.13-μm CMOS Class-E 2.4 GHz Adjustable Power Amplifier for IoT Application'. Together they form a unique fingerprint.

Cite this