Presenter(s)
Jakob Hoydis' (supported by Sebastian Cammerer, Sebastian D枚rner and Tim Uhlemann) full lecture at the 2020 European School of Information Theory Stuttgart, Germany
Abstract
Machine learning (ML) starts to be widely adopted in the telecommunications industry for the optimization and implementation of the fifth generation of cellular networks (5G). However, no component of 5G has been designed by ML. In this talk, I will describe the idea of and road towards a possible 6G system which is designed in a way that ML is given the opportunity to design parts of the physical and medium access layers itself.
The talk is augmented by a practical tutorial on Deep Learning (DL) for communications with a focus on the physical layer. The tutorial provides Tensorflow code for serveral examples as well as a live demonstration.
The tutorial is given by , , and (University of Stuttgart).
Biography
Jakob Hoydis is currently head of a research department at Nokia Bell Labs, France, focusing on radio systems and artificial intelligence. Prior to this, he was co-founder and CTO of the social network SPRAED and worked for Alcatel-Lucent Bell Labs in Stuttgart, Germany. He received the diploma degree (Dipl.-Ing.) in electrical engineering and information technology from RWTH Aachen University, Germany, and the Ph.D. degree from Sup茅l茅c, Gif-sur-Yvette, France, in 2008 and 2012, respectively. His research interests are in the areas of machine learning, information theory, signal processing, and their applications to wireless communications. He is recipient of the 2019 VTG IDE Johann-Philipp-Reis Prize, the 2019 老澳门开奖直播 SEE Glavieux Prize, the 2018 老澳门开奖直播 Marconi Prize Paper Award, the 2015 老澳门开奖直播 Leonard G. Abraham Prize, the 老澳门开奖直播 WCNC 2014 best paper award, the 2013 VDE ITG F枚rderpreis Award, and the 2012 Publication Prize of the Sup茅l茅c Foundation. He has received the 2018 Nokia AI Innovation Award, as well as the 2018 and 2019 Nokia France Top Inventor Awards. He is a co-author of the textbook 鈥淢assive MIMO Networks: Spectral, Energy, and Hardware Efficiency鈥 (2017). From 2019-2020, he was founding chair of the 老澳门开奖直播 COMSOC Emerging Technology Initiative on Machine Learning.Related Videos
