2017/08/28 by Wojciech Samek, Samek, Wojciech, Sławomir Stańczak +3
Computer Science · Engineering · #Artificial Intelligence (cs.AI) #Computers and Society (cs.CY) #FOS: Computer and information sciences #Network Security and Intrusion Detection #Networking and Internet Architecture (cs.NI) #Smart Grid Security and Resilience #Wireless Signal Modulation Classification
paper · pdf · doi:10.48550/arxiv.1708.08299
openalex publication_date 2017/08/28 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
The areas of machine learning and communication technology are converging. Today's communications systems generate a huge 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 over 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.