Reduced Complexity Sequential Digital Predistortion Technique for 5G Applications

Moustafa Abdelnaby, Reem Alnajjar, Souheil Bensmida, Oualid Hammi

Research output: Contribution to journalArticlepeer-review

22 Downloads (Pure)

Abstract

Wireless communication infrastructure is a key enabling technology for smart cities. This paper investigates a novel technique to enhance the performance of 5G base stations by addressing the compensation of nonlinear distortions caused by radiofrequency power amplifiers. For this purpose, a sequential digital predistortion approach that uses twin nonlinear two-box structure along with reduced sampling rates in the feedback path is proposed to implement a linearization system. Such a system is shown to have a correction bandwidth that exceeds the bandwidth of the feedback path. This is achieved by synthesizing the predistortion function in two successive characterization iterations. Both characterizations use the same hardware, which has a reduced sampling rate in the feedback path. Hence, the proposed predistorter scheme does not require any additional hardware compared to standard schemes. Moreover, coarse delay alignment is performed while identifying the memory polynomial function in order to further reduce the computational complexity of the proposed system. Experimental results using an inverse Class-F power amplifier demonstrate the ability of the proposed predistorter to achieve a correction bandwidth of 100 MHz with a feedback sampling rate as low as 25 MSa/s.
Original languageEnglish
Pages (from-to)772-785
Number of pages14
JournalSmart Cities
Volume7
Issue number2
Early online date18 Mar 2024
DOIs
Publication statusPublished - Apr 2024

Keywords

  • 5G communications
  • digital predistortion
  • nonlinear distortions
  • power amplifiers

ASJC Scopus subject areas

  • Artificial Intelligence
  • Electrical and Electronic Engineering
  • Urban Studies

Fingerprint

Dive into the research topics of 'Reduced Complexity Sequential Digital Predistortion Technique for 5G Applications'. Together they form a unique fingerprint.

Cite this