Recent Progress in End-to-End Learning for the Physical Layer
De Jakob Hoydis
End-to-end learning is one of the most promising applications of machine learning for the physical layer of communication systems. I will provide a tutorial introduction to the topic and will discuss recent results as well as future research direction. ––––––––––––––––––––––––––––––Track: Wanderlust — CRASTEL [Audio Library Release]Music provided by Audio Library PlusWatch: https://youtu.be/79mSePaZkOUFree Download / Stream: https://alplus.io/wanderlust––––––––––––––––––––––––––––––