Artificial Intelligence for 6G

This textbook provides an introduction to Artificial Intelligence (AI) techniques for wireless communications and networks, with a focus on 6G research. It explains how AI can be used to design and optimize 6G networks, and is of interest to graduate students, academics, engineers, and developers.

Format: Paperback / softback
Length: 525 pages
Publication date: 31 March 2023
Publisher: Springer Nature Switzerland AG

Artificial Intelligence (AI) techniques have revolutionized the field of wireless communications and networks, offering innovative solutions to complex problems. In this comprehensive textbook, readers are introduced to a range of AI techniques, including unsupervised learning, supervised learning, reinforcement learning, and deep learning. Each technique is explained in detail, with practical examples and applications showcased to illustrate their effectiveness.

Unsupervised learning is a powerful tool for analyzing large datasets and identifying patterns and relationships. It involves analyzing data without any predefined labels or categories, allowing AI algorithms to discover hidden insights and make predictions. Supervised learning, on the other hand, involves training AI algorithms with labeled data and using them to make predictions or classify new data. Reinforcement learning is a technique where AI agents interact with their environment and receive rewards or penalties based on their actions. This technique is commonly used in autonomous vehicles and robotics, where AI algorithms learn to make decisions and optimize their performance. Deep learning is a subset of machine learning that involves training neural networks with large amounts of data. These networks are capable of learning complex patterns and making highly accurate predictions.

The textbook explains how these AI techniques can be applied to wireless communications and network systems, particularly in designing and optimizing 6G networks. 6G networks are expected to be faster, more reliable, and more efficient than their predecessors, and AI will play a crucial role in their development. The textbook covers topics such as network slicing, network virtualization, and network automation, which are essential for the efficient operation of 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 the future development of network systems and mobile communications. The textbook provides a comprehensive understanding of AI techniques and their applications in wireless communications and networks, and will serve as a valuable resource for anyone seeking to stay ahead of the curve in this rapidly evolving field.

Weight: 825g
Dimension: 235 x 155 (mm)
ISBN-13: 9783030950439
Edition number: 1st ed. 2022