Chapter 21: OTFS and Machine Learning

Learning Objectives

• Apply deep learning to OTFS detection, exploiting DD-sparse structure
• Design learned pilot patterns that outperform hand-designed pilots
• Develop NN-based channel estimation for OTFS
• Unfold model-based OTFS receivers into trainable neural networks
• Navigate the trade-offs: accuracy, generalization, compute, interpretability