AI-Enabled 6G Networks and Applications
1st Edition
Published on 8. December 2022
Book
Hardback
176 pages
978-1-119-81264-7 (ISBN)
Description
This book includes review of AI techniques for 6G Networks and will focus on deployment of AI techniques to efficiently and effectively optimize the network performance, including AI-empowered mobile edge computing, intelligent mobility and handover management, and smart spectrum management.This book also includes the design of a set of evolutionary AI hybrid algorithms with communication protocols, showing how to use them in practice to solve problems relating to vehicular networks, aerial networks and communication networks. It is intended as a reference guide to advanced hybrid computational intelligence methods for 6G supportive networks and protocols for graduate students and researchers in network forensics and optimization, computer science, and engineering.
The chapters have been written and edited by active researchers, whichcover hypotheses and practical considerations; provide insights into the design of evolutionary AI algorithms for 6G networks with focuses on network transparency, interpretability and simulatability for vehicular networks, space systems, surveillance systemsand their usages in different emerging engineering fields.
The chapters have been written and edited by active researchers, whichcover hypotheses and practical considerations; provide insights into the design of evolutionary AI algorithms for 6G networks with focuses on network transparency, interpretability and simulatability for vehicular networks, space systems, surveillance systemsand their usages in different emerging engineering fields.
More details
Language
English
Place of publication
Hoboken
United States
Publishing group
John Wiley and Sons Ltd
Target group
Professional and scholarly
Dimensions
Height: 222 mm
Width: 145 mm
Thickness: 13 mm
Weight
365 gr
ISBN-13
978-1-119-81264-7 (9781119812647)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Deepak Gupta | Mahmoud Ragab Al-Refaey | Romany Fouad Mansour
AI-Enabled 6G Networks and Applications
E-Book
12/2022
1st Edition
Wiley
€95.99
Available for download
Deepak Gupta | Mahmoud Ragab Al-Refaey | Romany Fouad Mansour
AI-Enabled 6G Networks and Applications
E-Book
11/2022
1st Edition
Wiley
€95.99
Available for download
Person
Deepak Gupta, Assistant Professor, Department of Computer Science and Engineering, Maharaja Agrasen Institute of Technology, Delhi, India. His research interests include intelligent data analysis, nature-inspired computing, machine learning, and soft computing.
Mahmoud Ragab, PhD., Associate Professor, Department of Information Technology, King Abdulaziz University, Saudi Arabia. Head of the Biological Quantum Computing Unit in the Centre for Artificial Intelligence in Precision Medicine. Associate Professor, Mathematics Department, Faculty of Science, Al-Azhar University, Cairo, Egypt.
Romany Fouad Mansour, PhD., Associate Professor, Department of Mathematics, New Valley University, Egypt. His research interests include Artificial Intelligence, Pattern Recognition, Computer Vision, Computer Networks, Soft Computing, Image Processing, Bioinformatics _and Evolutionary Computation.
Aditya Khamparia, Assistant Professor, Baba Saheb Bhimrao Amedkar (Central) University, Punjab, India. His teaching and research focuses on machine learning, deep learning, educational technologies, and computer vision.
Ashish Khanna, Assistant Professor, Maharaja Agrasen Institute of Technology, Delhi, India. He has extensive academic and industry experience in areas such as image processing, distributed systems, and machine learning.
Mahmoud Ragab, PhD., Associate Professor, Department of Information Technology, King Abdulaziz University, Saudi Arabia. Head of the Biological Quantum Computing Unit in the Centre for Artificial Intelligence in Precision Medicine. Associate Professor, Mathematics Department, Faculty of Science, Al-Azhar University, Cairo, Egypt.
Romany Fouad Mansour, PhD., Associate Professor, Department of Mathematics, New Valley University, Egypt. His research interests include Artificial Intelligence, Pattern Recognition, Computer Vision, Computer Networks, Soft Computing, Image Processing, Bioinformatics _and Evolutionary Computation.
Aditya Khamparia, Assistant Professor, Baba Saheb Bhimrao Amedkar (Central) University, Punjab, India. His teaching and research focuses on machine learning, deep learning, educational technologies, and computer vision.
Ashish Khanna, Assistant Professor, Maharaja Agrasen Institute of Technology, Delhi, India. He has extensive academic and industry experience in areas such as image processing, distributed systems, and machine learning.