Generative AI for Communications Systems: Fundamentals, Applications, and Prospects - Tapa dura

Acerca del autor

Diep N. Nguyen is the Head of UTS 5G/6G Lab with the Faculty of Engineering and Information Technology at the University of Technology Sydney (UTS), Sydney, NSW, Australia.

Nam H. Chu is a Faculty Member with the Department of Telecommunications Engineering at the University of Transport and Communications, Hanoi, Vietnam. He is also with the University of Technology Sydney (UTS), Australia, and the Crown Institute of Higher Education, Australia.

Dinh Thai Hoang is a Faculty Member at the University of Technology Sydney (UTS), Australia.

Octavia A. Dobre is a Professor and Canada Research Chair Tier-1 at Memorial University, Canada.

Dusit Niyato is a President’s Chair Professor in Computer Science and Engineering in the College of Computing and Data Science at Nanyang Technological University, Singapore.

Petar Popovski is currently a Professor with Aalborg University in Denmark where he heads the Section on Connectivity. He is also a Visiting Excellence Chair with the University of Bremen, Germany.

De la contraportada

Comprehensive review of state-of-the-art research and development in Generative AI for future communications and networking

Generative AI for Communications Systems provides a systematic foundation of knowledge on Generative AI for communications and networking. This book discusses the great potential and challenges in applying Generative AI as promising solutions to future communications systems and enables and facilitates "Generative AI as a Service" by exploring novel communications, networking architectures, protocols, and research trends.

The book also includes information on:

• Crucial challenges to solve in Generative AI, such as training data availability, computational complexity, generalization for various scenarios, robustness of noisy and incomplete data, and real-time adaptation in communications and networking systems
• Cybersecurity concerns such as ethics and privacy in relation to Generative AI
• Applications of Generative AI across various layers, including the PHY layer, MAC layer, Network layer, and Application layer
• Communications and networking solutions to meet the computing and communications challenges and demands to train and deploy large-scale Generative AI models

Generative AI for Communications Systems is an excellent up-to-date resource on the subject for scholars and researchers in the fields of communications, artificial intelligence, machine learning, and network optimization as well as professionals working in the communications industry including engineers, network architects, and system designers.