Intelligent Spectrum Management Towards 6G at Meripustak

Intelligent Spectrum Management Towards 6G

Books from same Author: Sridhar Iyer and Anshuman Kalla and Onel Alcaraz Lopez and Chamitha De Alwis

Books from same Publisher: John Wiley

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  • General Information  
    Author(s)Sridhar Iyer and Anshuman Kalla and Onel Alcaraz Lopez and Chamitha De Alwis
    PublisherJohn Wiley
    Edition1st Edition
    ISBN9781394201204
    Pages304
    BindingHardcover
    LanguageEnglish
    Publish YearJanuary 2025

    Description

    John Wiley Intelligent Spectrum Management Towards 6G by Sridhar Iyer and Anshuman Kalla and Onel Alcaraz Lopez and Chamitha De Alwis

    Forward-thinking reference on spectrum sharing and resource management for 5G, B5G, and 6G wireless networksIntelligent Spectrum Management: Towards 6G explores various aspects of spectrum sharing and resource management in 5G, beyond 5G, and the envisaged 6G networks. The book offers an in-depth exploration of intelligent and secure sharing of spectrum and resource management in existing and future mobile networks.The book sets the stage by providing an insight to the evolution of mobile networks and highlights the importance of spectrum sharing and resource management in next-generation wireless networks. At the core, the book explores various promising technologies such as cognitive radio, reinforcement learning, deep learning, reconfigurable intelligent surfaces, and blockchain technology towards efficient, intelligent, and secure sharing of spectrum and resource management. Moreover, the book presents dynamic and decentralized resource management techniques, including network slicing, game theory, and blockchain-enabled approaches.Topics covered include:Spectrum, and why it must be utilized optimally and transparentlyFuture applications envisioned with 6G, such as digital twins, Industry 5.0, holographic telepresence, and Extended Reality (XR)Challenges when Dynamic Spectrum Management (DSM) is enabled through Machine Learning (ML) techniques, including the complexity of received signals and the difficulty in obtaining accurate network data such as channel state informationReinforcement learning and deep learning-assisted spectrum managementSynergy between Artificial Intelligence (AI) and blockchain technology for spectrum managementPrivate networks, including their prospects, architecture, enabling concepts, and techniques for efficient operationIn essence, various innovative technologies and approaches that can be leveraged to enhance spectrum utilization and efficiently manage network resources are discussed. The book is a potential reference for researchers, academics, and professionals in the wireless service provider industry, as well as regulators and officials.