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Dynamic Spectrum Management [[electronic resource] ] : From Cognitive Radio to Blockchain and Artificial Intelligence / / by Ying-Chang Liang



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Autore: Liang Ying-Chang Visualizza persona
Titolo: Dynamic Spectrum Management [[electronic resource] ] : From Cognitive Radio to Blockchain and Artificial Intelligence / / by Ying-Chang Liang Visualizza cluster
Pubblicazione: Singapore, : Springer Nature, 2020
Singapore : , : Springer Singapore : , : Imprint : Springer, , 2020
Edizione: 1st ed. 2020.
Descrizione fisica: 1 online resource (XVI, 166 p. 41 illus., 33 illus. in color.)
Disciplina: 621.382
Soggetto topico: Electrical engineering
Wireless communication systems
Mobile communication systems
Computer organization
Computers
Artificial intelligence
Communications Engineering, Networks
Wireless and Mobile Communication
Computer Systems Organization and Communication Networks
Information Systems and Communication Service
Artificial Intelligence
Soggetto non controllato: Engineering
Electrical engineering
Wireless communication systems
Mobile communication systems
Computer organization
Computers
Artificial intelligence
Nota di contenuto: Introduction -- Spectrum Sensing Methods -- Opportunistic Spectrum Access -- Concurrent Spectrum Access -- Blockchain for Dynamic Spectrum Management -- Artificial Intelligence for Dynamic Spectrum Management.
Sommario/riassunto: This open access book, authored by a world-leading researcher in this field, describes fundamentals of dynamic spectrum management, provides a systematic overview on the enabling technologies covering cognitive radio, blockchain, and artificial intelligence, and offers valuable guidance for designing advanced wireless communications systems. This book is intended for a broad range of readers, including students and professionals in this field, as well as radio spectrum policy makers.
Titolo autorizzato: Dynamic Spectrum Management  Visualizza cluster
ISBN: 981-15-0776-7
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910366606603321
Lo trovi qui: Univ. Federico II
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Serie: Signals and Communication Technology, . 1860-4862