TY  - GEN
AU  - Samek, Wojciech
AU  - Stanczak,Slawomir
AU  - Wiegand, Thomas
TI  - The convergence of machine learning and communications
PY  - 2017///
CY  - Geneva
PB  - International Telecommunication Union
KW  - Tecnologías habilitadoras digitales
KW  - Science and Technology
N2  - The areas of machine learning and communication technology are converging. Today's communication systems generate a large amount of traffic data, which can help to significantly enhance the design and management of networks and communication components when combined with advanced machine learning methods. Furthermore, recently developed end-to-end training procedures offer new ways to jointly optimize the components of a communication system. Also, in many emerging application fields of communication technology, e.g., smart cities or Internet of things, machine learning methods are of central importance. This paper gives an overview of the use of machine learning in different areas of communications and discusses two exemplar applications in wireless networking. Furthermore, it identifies promising future research topics and discusses their potential impact
UR  - https://www.itu.int/dms_pub/itu-s/opb/journal/S-JOURNAL-ICTS.V1I1-2017-6-PDF-E.pdf
ER  -