Artificial Intelligence for 6G

2. Auflage 2027
ISBN: 978-3-032-44953-5
Verlag: Springer

Buch, Englisch, 491 Seiten, Format (B × H): 155 mm x 235 mm

This textbook, now in an updated and expanded second edition, introduces artificial intelligence (AI) techniques for wireless communications and networks, helping readers to find solutions for communications and network problems using AI.

This bookintroduces, in a step-by-step manner, AI techniques including:

• unsupervised learning;
• supervised learning;
• reinforcement learning; and
• deep learning.

The book explains how these techniques can be used for wireless communications and network systems, particularly in designing and optimizing 6G networks.

This textbook is at the forefront of 6G research. This new edition brings readers up to with the latest AI technologies such as federated learning and will be of interest internationally, to graduate students, academics, engineers, and developers who are focused on future development of network systems and mobile communications.

Zielgruppe

Graduate

Autoren/Hrsg.

Kim, Haesik

Fachgebiete

• Technische Wissenschaften Energietechnik | Elektrotechnik Elektrotechnik
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
• Mathematik | Informatik EDV | Informatik Informatik Mensch-Maschine-Interaktion Ambient Intelligence, RFID, Internet der Dinge
• Technische Wissenschaften Elektronik | Nachrichtentechnik Nachrichten- und Kommunikationstechnik Drahtlostechnologie
• Mathematik | Informatik Mathematik Numerik und Wissenschaftliches Rechnen Optimierung

Inhaltsverzeichnis

Part I: Artificial Intelligence Techniques.- Chapter 1. Historical Sketch of Artificial Intelligence.- Chapter 2. Unsupervised Learning.- Chapter 3. Supervised Learning.- Chapter 4. Gradient Descent.- Chapter 5. Reinforcement Learning.- Chapter 6. Deep Learning.- Part II: Artificial Intelligence Enabled Techniques for 6G.- Chapter 7. Artificial Intelligence and 6G.- Chapter 8. AI for Big Data.- Chapter 9. AI Enabled Wireless Communications.- Chapter 10. AI Enabled Networks.- Chapter 11. AI Empowered Mobile Applications.

Über Autor(innen)

Dr. Haesik Kim is currently with VTT Technical Research Centre of Finland. He received the Ph.D. degree from Lancaster University, UK. From 2002 to 2006, he was with Samsung Advanced Institute of Technology (SAIT) where he focused on physical layer system design and standardisation in 3G, SDR and UWB project. From 2008 to 2009, he was with NEC UK where he was involved in 4G WiMAX system design and standardisation. He made significant contributions to wireless communication and network area, including the world fastest UWB chipset development, a major contributor to WiMedia standard, dozens of patents holder deriving from his research, journal and conference papers in wireless communication area, etc. He was a vice-chair of 5G-IA steering board. He is a series editor of IEEE Communications Magazine: Design and Implementation of Devices, Circuits and Systems and also an associate technical editor of IEEE Communications Magazine.