Overview
- Provides a thorough overview of AI techniques and applying them to 6G communications and networks
- Introduces machine learning techniques to graduate students and academics
- Presents methods for the design and optimization of 6G communication systems
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About this book
This textbook introduces Artificial Intelligence (AI) techniques for wireless communications and networks, helping readers to find solutions for communications and network problems using AI.
Artificial Intelligence for 6G introduces, in a step-by-step manner, AI techniques such as:
- unsupervised learning;
- supervised learning;
- reinforcement learning; and
- deep learning.
It explains how these techniques can be used for wireless communications and network systems, particularly in designing and optimizing 6G networks.
This book is at the forefront of 6G research, 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.
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Keywords
Table of contents (10 chapters)
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Front Matter
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Artificial Intelligence Techniques
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Front Matter
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AI-Enabled Communications and Networks Techniques for 6G
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Front Matter
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Back Matter
Authors and Affiliations
About the author
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. He served as a conference chair, a session chair and a TPC member of major IEEE journals and conferences. He as a coordinator, project manager and principle investigator has been involved in many EU, ESA, Finnish national projects. His current research interests include PHY and MAC layer system design, advanced coding theory, advanced MIMO, multi-carrier system, resource allocation schemes, machine-type communications, ultra-reliable low latency communications, machine learning, deep learning, etc.
Bibliographic Information
Book Title: Artificial Intelligence for 6G
Authors: Haesik Kim
DOI: https://doi.org/10.1007/978-3-030-95041-5
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2022
Hardcover ISBN: 978-3-030-95040-8Published: 30 March 2022
Softcover ISBN: 978-3-030-95043-9Published: 31 March 2023
eBook ISBN: 978-3-030-95041-5Published: 29 March 2022
Edition Number: 1
Number of Pages: XVI, 525
Number of Illustrations: 283 b/w illustrations, 2 illustrations in colour
Topics: Wireless and Mobile Communication, Artificial Intelligence, Cyber-physical systems, IoT, Optimization