 | 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. |
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