Artificial intelligence for 6G / Haesik Kim.
Kim, Haesik, author.
2022
Q335 .K56 2022
Available Online

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Title Artificial intelligence for 6G / Haesik Kim.
Author Kim, Haesik, author.
ISBN 3030950417 electronic book
9783030950415 (electronic bk.)
3030950409
9783030950408
DOI https://doi.org/10.1007/978-3-030-95041-5
Published Cham, Switzerland : Springer, 2022.
Language English
Description 1 online resource
Item Number 10.1007/978-3-030-95041-5 doi
Call Number Q335 .K56 2022
Dewey Decimal Classification 006.3
Summary 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.
Bibliography, etc. Note Includes bibliographical references and index.
Access Note Access limited to authorized users.
Available in Other Form Print version: 9783030950408
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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.

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