Artificial Intelligence in the 6G Ecosystem / by Haesik Kim.

Format:

Book

Author/Creator:

Kim, Haesik.

Series:

Engineering Series

Language:

English

Subjects (All):

Wireless communication systems.

Mobile communication systems.

Machine learning.

Telecommunication.

Artificial intelligence.

Wireless and Mobile Communication.

Machine Learning.

Communications Engineering, Networks.

Artificial Intelligence.

Local Subjects:

Wireless and Mobile Communication.

Machine Learning.

Communications Engineering, Networks.

Artificial Intelligence.

Physical Description:

1 online resource (517 pages)

Edition:

1st ed. 2026.

Place of Publication:

Cham : Springer Nature Switzerland : Imprint: Springer, 2026.

Summary:

This textbook provides knowledge of artificial intelligence (AI), wireless communications, and cellular networks. It covers AI techniques such as unsupervised learning, supervised learning, reinforcement learning, deep learning, and 6G technologies like massive MIMO, open RAN, and more. Readers of the book will gain insights into the relationships and synergies between these AI techniques and 6G ecosystems. Additionally, they will develop an understanding of how AI techniques can be instrumental in designing and optimizing 6G systems, and how 6G systems, in turn, can contribute to the creation of new AI applications and use cases. The textbook will be of interest to students studying artificial intelligence, wireless communications, mobile networks, and electrical engineering, as well as professionals in the field.

Contents:

Historical sketch of artificial intelligence and wireless system

Algorithms of Artificial Intelligence

Algorithms of Wireless System

AI enabled wireless communications

AI enabled cellular networks

AI framework and operation in 6G

AI enabled 6G verticals.

Notes:

Description based on publisher supplied metadata and other sources.

ISBN:

3-032-09339-2

9783032093394

OCLC:

1570558222