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Prof. Dr.-Ing. Stanczak is invited to give a talk on Machine Learning/ Artificial Intelligence in 5G Radio Access Networks at the Technology Workshop which is organized by ETSI ENI (Experiential Networked Intelligence). The Workshop will address Machine Learning and Artificial Intelligence in 5G...



Prof. Dr.-Ing. Stanczak is invited to give a talk on "Machine Learning for 5G and Beyond: Challenges, Opportunities and Promising Approaches" at the Workshop organized by Robert Bosch GmbH in Renningen, Germany. The Robert Bosch GmbH Workshop will take place on March 21, 2019 in...



Prof. Dr.-Ing. Stanczak is invited to give a talk on "Machine Learning-Aware Communication Networks: A driver for Relevant Ecosystems" at the ITU Workshop on AI Enables Intelligent 5G Network. The Workshop will take place in Shenzen, China on the 6th March 2019. For further...



We are glad to announce that the German Research Foundation (DFG) authorized another project for the Institute of Telecommunications for a duration of three years. The new project focuses on the conceptual realization of Full-Duplex transceivers within the milimeter wave band for applications...



The Machine Learning for Communications ETI Scope The aim of this Emerging Technology Initiative (ETI) is to foster research and innovation surrounding the use of machine learning (ML) for the physical (PHY) and medium access control (MAC) layers for all types of communication systems, such as...



Prof. Salwomir Stanczak was invited to give a session on "Machine Learning enabled 5G Wireless Networks: GPU Convex Feasibility Solvers" at the GTC Europe which took place on 9-11 October 2018 in Munich. As part of the GTC Europe the researchers Georg Hieronimus, Steffen Limmer and Prof....



Prof. Dr.-Ing. Slawomir Stanczak was very happy to give a talk on 5G research perspectives at the Future Industrial Communication Conference which took place in September in Berlin. Pictures of the event can be found here.  Organized by the Information Platform for 5G Industrial Internet,...



The manuscript 'A Neural Architecture for Bayesian Compressive Sensing over the Simplex via Laplace Techniques' has been accepted for publication as a regular paper in the IEEE Transactions on Signal Processing. The Authors of the manuscript are Steffen Limmer and Prof. Dr.-Ing. Slawomir...



Title: Machine Learning in 5G Radio Access Networks Abstract: Wireless communications poses some fundamental challenges to machine learning (ML). Due to high mobility, wireless links exhibit ephemeral and  highly dynamic nature; moreover, the links are corrupted by noise and are in...



The manuscript entitled "Compressive Rate Estimation with Applications to Device-to-Device Communications" is accepted in its current form for publication in the IEEE Transactions on Wireless Communications. Abstract: We develop a framework that we call compressive rate estimation. We...


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