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Seminar Ausgewählte Kapitel der Nachrichtentechnik

Dozent/in

Details

Zeit/Ort n.V.:

  • Zeit/Ort n.V.

Studienfächer / Studienrichtungen

  • WF CE-MA-TA-IT ab Sem. 1
  • WPF EEI-MA-INT ab Sem. 1
  • WPF EEI-BA-INT ab Sem. 5
  • WPF IuK-MA ab Sem. 1
  • WPF CME-MA ab Sem. 3
  • WPF ME-MA-SEM-EEI ab Sem. 3

Inhalt

Topic: Machine Learning for Wireless Communications

Wireless communication technology is going through a revolutionary change with every new generation of cellular systems where each generation has provided significant new capabilities. The next-generation (5G and Beyond) wireless networks are expected to support ultra-reliable, low-latency, and high data-rate communications among a massive number of Internet-of-Things (IoT) devices in real-time and within a highly dynamic environment. This requires intelligent adaptive learning and decision making which can be realized by integrating artificial intelligence (AI) and machine learning (ML) across the wireless infrastructure and end-user devices. AI and ML enable future smart mobile terminals to autonomously access spectral bands and adaptively adjust their transmission strategies using sophisticated spectral-efficiency, energy-efficiency, and quality-of-service learning and inference techniques. Participants in this seminar will acquire knowledge about the state of the art, advances, and challenges in communication system design based on machine learning.

Zusätzliche Informationen

Erwartete Teilnehmerzahl: 10

www: https://www.studon.fau.de/crs2307702.html