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Название: Artificial Intelligence for Future Networks
Автор: Mohammad A. Matin, Sotirios K. Goudos, George K. Karagiannidis
Издательство: Wiley-IEEE Press
Год: 2025
Страниц: 493
Язык: английский
Формат: epub (true)
Размер: 22.7 MB
An exploration of connected intelligent edge, Artificial Intelligence, and Machine Learning for B5G/6G architecture. Artificial Intelligence for Future Networks illuminates how Artificial Intelligence (AI) and Machine Learning (ML) influence the general architecture and improve the usability of future networks like B5G and 6G through increased system capacity, low latency, high reliability, greater spectrum efficiency, and support of massive Internet of Things (mIoT). The book reviews network design and management, offering an in-depth treatment of AI oriented future networks infrastructure. Providing up-to-date materials for AI empowered resource management and extensive discussion on energy-efficient communications, this book incorporates a thorough analysis of the recent advancement and potential applications of ML and AI in future networks. Each chapter is written by an expert at the forefront of AI and ML research, highlighting current design and engineering practices and emphasizing challenging issues related to future wireless applications.
Автор: Mohammad A. Matin, Sotirios K. Goudos, George K. Karagiannidis
Издательство: Wiley-IEEE Press
Год: 2025
Страниц: 493
Язык: английский
Формат: epub (true)
Размер: 22.7 MB
An exploration of connected intelligent edge, Artificial Intelligence, and Machine Learning for B5G/6G architecture. Artificial Intelligence for Future Networks illuminates how Artificial Intelligence (AI) and Machine Learning (ML) influence the general architecture and improve the usability of future networks like B5G and 6G through increased system capacity, low latency, high reliability, greater spectrum efficiency, and support of massive Internet of Things (mIoT). The book reviews network design and management, offering an in-depth treatment of AI oriented future networks infrastructure. Providing up-to-date materials for AI empowered resource management and extensive discussion on energy-efficient communications, this book incorporates a thorough analysis of the recent advancement and potential applications of ML and AI in future networks. Each chapter is written by an expert at the forefront of AI and ML research, highlighting current design and engineering practices and emphasizing challenging issues related to future wireless applications.