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Record Nr. |
UNINA9910983490203321 |
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Autore |
Zhang Haijun |
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Titolo |
Deep Learning in Wireless Communications / / by Haijun Zhang, Ning Yang |
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Pubbl/distr/stampa |
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Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 |
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ISBN |
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Edizione |
[1st ed. 2025.] |
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Descrizione fisica |
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1 online resource (149 pages) |
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Altri autori (Persone) |
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Disciplina |
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Soggetti |
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Wireless communication systems |
Mobile communication systems |
Computational intelligence |
Artificial intelligence |
Wireless and Mobile Communication |
Computational Intelligence |
Artificial Intelligence |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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Introduction to Intelligence Wireless Communication -- Cognitive Spectrum Intelligence -- Learning Resource Allocation Optimization -- Transmission Intelligence -- Learning Traffic and Mobility Prediction -- Software Defined Networking -- Security in Wireless Communication -- 6G Driving Applications with Deep Learning. |
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Sommario/riassunto |
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The book offers a focused examination of deep learning-based wireless communication systems and their applications. While both principles and engineering practice are explored, greater emphasis is placed on the latter. The book offers an in-depth exploration of major topics such as cognitive spectrum intelligence, learning resource allocation optimization, transmission intelligence, learning traffic and mobility prediction, and security in wireless communication. Notably, the book provides a comprehensive and systematic treatment of practical issues related to intelligent wireless communication, making it particularly useful for those seeking to learn about practical solutions in AI-based wireless resource management. This book is a valuable resource for |
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researchers, engineers, and graduate students in the fields of wireless communication, telecommunications, and related areas. |
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