| 書(shū)目名稱(chēng) | Deep Learning in Wireless Communications | | 編輯 | Haijun Zhang,Ning Yang | | 視頻video | http://file.papertrans.cn/285/284502/284502.mp4 | | 概述 | Addresses intelligence wireless communication systems both in theory and practice.Studies spectrum sharing, resource management, traffic and prediction, and security with deep learning.Studies major r | | 圖書(shū)封面 |  | | 描述 | .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.. | | 出版日期 | Book 2025 | | 關(guān)鍵詞 | Deep Learning; Learning Resource Allocation; Transmission Intelligence; Cognitive Spectrum Intelligence | | 版次 | 1 | | doi | https://doi.org/10.1007/978-981-97-6314-6 | | isbn_softcover | 978-981-97-6316-0 | | isbn_ebook | 978-981-97-6314-6 | | copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor |
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