Artificial Intelligence for 6G
Author | : Haesik Kim |
Publisher | : Springer Nature |
Total Pages | : 534 |
Release | : 2022-03-29 |
ISBN-10 | : 9783030950415 |
ISBN-13 | : 3030950417 |
Rating | : 4/5 (15 Downloads) |
Download or read book Artificial Intelligence for 6G written by Haesik Kim and published by Springer Nature. This book was released on 2022-03-29 with total page 534 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.