TY  - GEN
AB  - 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.
AU  - Kim, Haesik,
CN  - Q335
DO  - 10.1007/978-3-030-95041-5
DO  - doi
ID  - 1445610
KW  - Artificial intelligence.
KW  - Machine learning.
KW  - Wireless communication systems
KW  - Intelligence artificielle.
KW  - Apprentissage automatique.
KW  - Transmission sans fil
LK  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-95041-5
N2  - 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.
SN  - 3030950417
SN  - 9783030950415
T1  - Artificial intelligence for 6G /
TI  - Artificial intelligence for 6G /
UR  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-95041-5
ER  -