This work introduces deep learning (DL) to researchers in the physical layer domain. It highlights how DL techniques can significantly enhance physical layer performance and reliability. The authors provide a comprehensive overview of physical layer concepts, explain the role of channel estimation, signal detection, modulation classification, interference mitigation, and physical layer security in ensuring reliable and efficient communication. Additionally, they showcase machine learning tools and frameworks for physical layer research. Leading research institutions and impactful conferences and journals in the field are also discussed.
