Deep Learning Approaches in Intelligent Wireless Networking
暫譯: 智能無線網絡中的深度學習方法
Bhushan, Bharat, Wajid, Mohd Anas, Sharma, Sudhir Kumar
- 出版商: CRC
- 出版日期: 2026-04-30
- 售價: $5,680
- 貴賓價: 9.5 折 $5,396
- 語言: 英文
- 頁數: 310
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 1032998156
- ISBN-13: 9781032998152
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相關分類:
DeepLearning
尚未上市，無法訂購
商品描述
This reference text covers deep learning-based communication frameworks for multiuser detection and sparse channel estimation and engages in a discussion on deep learning-based ultra-dense cell communication and sensor networks and ad-hoc communication. It further presents concepts and theories related to high-speed communication systems, which are important in intelligent wireless communications.
Features:
- Discusses machine learning-based network management strategy in wireless systems, and machine learning-inspired big data analytics frameworks for wireless network applications.
- Presents high-speed communication systems, deep learning for wireless networks, security aspects in wireless networks, and decision-making for wireless networks.
- Highlights the importance of using deep reinforcement learning in intelligent wireless networks and deep reinforcement learning-based mobile data offloading frameworks.
- Covers novel network architectures for distributed edge learning, and privacy issues in distributed edge learning.
- Illustrates experimentation and deep learning-based simulations in networking systems, deep learning-based communication frameworks for multiuser detection and sparse channel estimation.
The book is written for senior undergraduate students, graduate students, and academic researchers in the fields of electrical engineering, electronics and communications engineering, computer science and engineering, and information technology.
商品描述(中文翻譯)
這本參考書涵蓋了基於深度學習的多用戶檢測和稀疏通道估計的通信框架，並討論了基於深度學習的超密集小區通信、感測器網絡和臨時通信。它進一步介紹了與高速通信系統相關的概念和理論，這些在智能無線通信中非常重要。
特色：
- 討論了無線系統中基於機器學習的網絡管理策略，以及受機器學習啟發的無線網絡應用的大數據分析框架。
- 介紹了高速通信系統、無線網絡的深度學習、無線網絡的安全性以及無線網絡的決策制定。
- 強調在智能無線網絡中使用深度強化學習的重要性，以及基於深度強化學習的移動數據卸載框架。
- 涵蓋了分散邊緣學習的新型網絡架構，以及分散邊緣學習中的隱私問題。
- 說明了在網絡系統中的實驗和基於深度學習的模擬，基於深度學習的多用戶檢測和稀疏通道估計的通信框架。
本書適合電機工程、電子與通信工程、計算機科學與工程以及信息技術領域的高年級本科生、研究生和學術研究人員。
作者簡介
Bharat Bhushan is an Associate Professor at Department of Computer Science and Engineering, Sharda School of Computing Science & Engineering, Sharda University, Greater Noida, India.
Mohd Anas Wajid is an Assistant Professor and Post-Doctoral Research Associate at TEC de Monterrey, Mexico. His research interests include Soft Computing, Machine Learning, Data Science, Information Retrieval, Neutrosophy, and STEM.
Sudhir Kumar Sharma is currently a Professor at Department of Computer Science & Applications, Sharda School of Computing Science & Engineering, Sharda University, Greater Noida, India His research interests include Artificial Intelligence, LLMs and Security.
Achyut Shankar is currently working as an Associate Professor at School of Computer Science Engineering and Technology, Bennett University, Greater Noida, India. His areas of interest include Wireless sensor network, Machine Learning, Internet of things, Block-chain and Cloud computing.
Mithun Chakraborty is currently associated with Darjelling Hill Institute of Technology and Management as Founding Principal. His current research focus is intelligent sensing, communication and computing, joint radar communication based smart vehicle.
Parma Nand is Dean and Pro-VC at School of Computing Science & Engineering, Sharda University, Greater Noida, India. He has expertise in Wireless and Sensor Network, Cryptography, Algorithm and Computer Graphics.
作者簡介(中文翻譯)
Bharat Bhushan 是印度大諾伊達 Sharda 大學計算機科學與工程系的副教授。
Mohd Anas Wajid 是墨西哥蒙特雷科技大學的助理教授及博士後研究員。他的研究興趣包括軟計算、機器學習、數據科學、信息檢索、中立哲學及 STEM。
Sudhir Kumar Sharma 目前是印度大諾伊達 Sharda 大學計算機科學與應用系的教授。他的研究興趣包括人工智慧、LLMs 和安全性。
Achyut Shankar 目前在印度大諾伊達 Bennett 大學計算機科學工程與技術學院擔任副教授。他的研究領域包括無線感測網路、機器學習、物聯網、區塊鏈及雲計算。
Mithun Chakraborty 目前擔任 Darjelling Hill 技術與管理學院的創始院長。他目前的研究重點是智能感知、通信與計算、基於聯合雷達通信的智能車輛。
Parma Nand 是印度大諾伊達 Sharda 大學計算機科學與工程學院的院長及副校長。他在無線與感測網路、密碼學、算法及計算機圖形學方面具有專業知識。
