"In more ways than ever before, artificial intelligence (AI) is providing our society with improved experiences and new capabilities. In addition to allowing our technology the ability to see, reason, and act instinctively, AI also alters how we approach and resolve technological problems. The integration of AI with future networks has recently attracted a lot of research interest due to the possible evolutionary changes that could improve user experiences and open up new use cases. For the last decade, researchers have been performing fundamental research to make AI ubiquitous, and AI has been identified as an important contender that can fuel future networks to boost system performance and efficiency. To fully realize all potential applications of ML and AI in future networks, the aim of this book is to support academics and researchers by identifying technical roadblocks and sharing cutting-edge research on the developing methodologies. The transformation of connected intelligent edge has already started, and it is essential to achieve the full potential of our 5G/6G future as the importance of on-device intelligence grows"-- Provided by publisher.
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Mohammad A. Matin is a Professor and Chairman in the Department of Electrical and Computer Engineering at North South University, Dhaka, Bangladesh.
Sotirios K. Goudos is a Professor in the Department of Physics at the Aristotle University of Thessaloniki, Greece and the Director of the ELEDIA@AUTH lab member of the ELEDIA Research Center Network.
George K. Karagiannidis is a Professor in the Department of Electrical and Computer Engineering of Aristotle University of Thessaloniki, Greece, and the Head of the Wireless Communications and Information Processing (WCIP) Group.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Hardcover. Etat : new. Hardcover. 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. Some of the topics include: Signal processing and detection, covering preprocess and level signals, transform signals and extract features, and training and deploying AI models and systemsChannel estimation and prediction, covering channel characteristics, modeling, and classic learning-aided and AI-aided estimation techniquesResource allocation, covering resource allocation optimization and efficient power consumption for different computing paradigms such as Cloud, Edge, Fog, IoT, and MECAntenna design using AI, covering basics of antennas, EM simulator/optimization algorithms, and surrogate modeling Identifying technical roadblocks and sharing cutting-edge research on developing methodologies, Artificial Intelligence for Future Networks is an essential reference on the subject for professionals and researchers involved in the field of wireless communications and networks, along with graduate and PhD students in electrical and computer engineering programs of study. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9781394227921
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