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| Autore: |
Zhang Haijun
|
| Titolo: |
Deep Learning in Wireless Communications / / by Haijun Zhang, Ning Yang
|
| Pubblicazione: | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 |
| Edizione: | 1st ed. 2025. |
| Descrizione fisica: | 1 online resource (149 pages) |
| Disciplina: | 621.384 |
| Soggetto topico: | Wireless communication systems |
| Mobile communication systems | |
| Computational intelligence | |
| Artificial intelligence | |
| Wireless and Mobile Communication | |
| Computational Intelligence | |
| Artificial Intelligence | |
| Altri autori: |
YangNing
|
| Nota di contenuto: | 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. |
| Sommario/riassunto: | 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 researchers, engineers, and graduate students in the fields of wireless communication, telecommunications, and related areas. |
| Titolo autorizzato: | Deep Learning in Wireless Communications ![]() |
| ISBN: | 9789819763146 |
| 9819763142 | |
| Formato: | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione: | Inglese |
| Record Nr.: | 9910983490203321 |
| Lo trovi qui: | Univ. Federico II |
| Opac: | Controlla la disponibilità qui |