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Communications and Multimedia Engineering (Master of Science) >>
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Seminar Ausgewählte Kapitel der Nachrichtentechnik (Sem NT)- Dozentinnen/Dozenten
- Prof. Dr.-Ing. Robert Schober, apl. Prof. Dr.-Ing. Wolfgang Gerstacker, Akad. Dir.
- Angaben
- Hauptseminar
2 SWS, benoteter Schein, ECTS-Studium, ECTS-Credits: 2,5, Sprache Englisch
Zeit und Ort: n.V.; Bemerkung zu Zeit und Ort: Blockseminar, Termine n.V.
- Studienfächer / Studienrichtungen
- WF CE-MA-TA-IT 1-3
WPF EEI-MA-INT 1-4
WPF EEI-BA-INT 5-6
WPF IuK-MA 1-4
WPF CME-MA ab 3
WPF ME-MA-SEM-EEI 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.
- ECTS-Informationen:
- Credits: 2,5
- Zusätzliche Informationen
- Erwartete Teilnehmerzahl: 10, Maximale Teilnehmerzahl: 10
www: https://www.studon.fau.de/crs2307702.html
- Verwendung in folgenden UnivIS-Modulen
- Startsemester WS 2018/2019:
- Seminar Ausgewählte Kapitel der Nachrichtentechnik (Sem NT)
- Institution: Lehrstuhl für Digitale Übertragung
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