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9

Jun

Signal-aware Predistortion Configuration Using Unsupervised Learning for 5G-Advanced/6G Radios

9 June 2026 09:00 to 09:45 |

Master Thesis presentation by Arvid Bergenfeldt & Oskar Magnusson

Title: Signal-aware Predistortion Configuration Using Unsupervised Learning for 5G-Advanced/6G Radios
Author: Arvid Bergenfeldt & Oskar Magnusson
Date & Time: June 9th, 9:00-9:45
Location: Seminar Room M 3170-73 in the M-building, LTH
Supervisor: Pontus Gisselsson, Simone Grimaldi
Examiner:  Bo Bernhardsson

Abstract:
Digital Predistortion (DPD) is used in modern communication systems to compensate for nonlinear distortions caused by power amplifiers while maintaining high efficiency. This work explores using a Gaussian Mixture Model (GMM) unsupervised machine learning approach to optimize and generate DPD configurations with the aim of reducing resource usage and configuration effort during hardware integration.

About the event

Location:

Seminar Room M 3170-73 in the M-building, LTH

Contact:

pontus [dot] giselsson [at] control [dot] lth [dot] se