May 2025

Conference Paper

Accelerated Over-The-Air Neural Receiver Training Using Self-Contrastive Learning

By:
Cooke, Corey D; Neel, Nicholas C; Waddle, Hayden T; Mann, Douglas A; McCormick, Tyler W
Book Title:
2025 IEEE International Conference on Machine Learning for Communication and Networking (ICMLCN)
Publication Date:
May 2025
Publisher Location:
IEEE, New Jersey, United States of America
Conference Name:
IEEE International Conference on Machine Learning for Communication and Networking (ICMLCN)
Conference Location:
Barcelona, Spain
Conference Sponsor:
IEEE
View DOI Listing:
https://doi.org/10.1109/ICMLCN64995.2025.11140337

Abstract

Self-contrastive learning (SCL), a self-supervised learning method, has been shown to improve image and signal classifier accuracies and reduce the training time for neural communications receivers. In particular, prior work has shown that SCL applied as a pre-training step can improve simulated performance of OFDM in 3GPP TDL channel models by reducing the training time of the downstream classification task (demodulation and demapping). In this work a practical implementation demonstrating SCL pre-training using software defined radios (SDRs) is proposed.

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