Description

This is the second Tutorial of the Pre-conference Workshops and Tutorials Series of 04th International Conference on Advanced Research in Computing - ICARC 2024, which is on Machine Learning for Wireless Communications. ICARC is organized by Faculty of Computing, Sabaragamuwa University of Sri Lanka. Artificial intelligence (AI) and machine learning (ML) stand out as some of the most pivotal technologies today. Notably, deep learning has spearheaded numerous breakthroughs across diverse domains, including computer vision, natural language processing, and speech recognition. Therefore, it is a natural question to ask: what role will AI/ML play in the domain of wireless communications? This tutorial tries to shed some light on this question by introducing fundamental concepts of deep learning and illustrating their applications to wireless communications. Tutorial Outline Introduction to ML basics What is ML/AI? Advanced Neural Network Architectures Applications of deep learning for communications Deep learning for detection Deep learning for channel estimation End-to-end learning