Deep Learning-Based Demodulation For Narrowband Communication Systems

This thesis is about identifying and solving the problem of demodulation with deep learning, design deep learning architecture that is suitable for resource-limited devices, and optimisation of the deep learning model to enhance performance while keeping complexity low. Demodulation is process that translate received radio frequency signal into information bits. It can be understood as a multi-class time series classification task in the deep learning perspective.