Data-Driven Intelligence in Wireless Networks: Concepts, Solutions, and Applications

Muhammad Khalil Afzal (Curatore)

Muhammad Ateeq (Curatore)

Taylor & Francis Ltd, 2024

This book highlights the importance of data-driven techniques to solve wireless communication problems. It presents a number of problems (e.g., related to performance, security, and social networking), and provides solutions using various data-driven techniques, including machine learning, deep learning, federated learning, and artificial intelligence. This book details wireless communication problems that can be solved by data-driven solutions. It presents a generalized approach toward solving problems using specific data-driven techniques. The book also develops a taxonomy of problems according to the type of solution presented and includes several case studies that examine data-driven solutions for issues such as quality of service (QoS) in heterogeneous wireless networks, 5G/6G networks, and security in wireless networks. The target audience of this book includes professionals, researchers, professors, and students working in the field of networking, communications, machine learning, and related fields.

• Curatore: Muhammad Khalil Afzal, Muhammad Ateeq
• Editore: Taylor & Francis Ltd
• Anno: 2024
• Rilegatura: Paperback / softback
• Pagine: 252 p.
• Dimensioni: 234 x 156 mm
• Peso: 490 gr.
• EAN: 9781032107738

Testo in English