Mixture of Experts Approach for Behavioral Modeling of RF Power Amplifiers

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

Abstract

Piece-wise (PW) behavioral models are commonly adopted when modeling RF power amplifiers (PAs) that exhibit strong amplitude dependent nonlinear distortion characteristics. In this paper, we consider a new PW model for PAs based on the mixture of experts (ME) approach. We first introduce the ME framework theory while also extend it such that it can be applied to model complex baseband signals and nonlinearities. Then, we show how the ME model allows overcoming some of the intrinsic shortcomings that existing PW behavioral models commonly exhibit, which translates into improved modeling accuracy. The proposed solution is validated with extensive RF measurements on a load modulated balanced PA at 2.1 GHz, excited by a 320 MHz OFDM signal, and is benchmarked against several state-of-the art PW models.

Original languageEnglish
Title of host publication2021 IEEE Topical Conference on RF/Microwave Power Amplifiers for Radio and Wireless Applications, PAWR 2021
PublisherIEEE
Pages31-33
Number of pages3
ISBN (Electronic)9780738143675
DOIs
Publication statusPublished - 2021
Publication typeA4 Article in a conference publication
EventIEEE Topical Conference on RF/Microwave Power Amplifiers for Radio and Wireless Applications -
Duration: 17 Jan 202122 Jan 2021

Publication series

Name2021 IEEE Topical Conference on RF/Microwave Power Amplifiers for Radio and Wireless Applications, PAWR 2021
ISSN (Electronic)2473-4640

Conference

ConferenceIEEE Topical Conference on RF/Microwave Power Amplifiers for Radio and Wireless Applications
Period17/01/2122/01/21

Keywords

  • 5G new radio
  • behavioral modeling
  • nonlinear distortion
  • piece-wise polynomials
  • power amplifiers

Publication forum classification

  • Publication forum level 1

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Electrical and Electronic Engineering
  • Instrumentation

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