Abstract

We present a novel approach for Quality of Transmission estimation using hybrid modelling and transfer-learning. Our method reduces the training data requirement by 80% while obtaining an MSE of 0.27dB. The approach facilitates a streamlined ML life-cycle for data collection, training and deployment.

© 2020 The Author(s)

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