Modern Wireless Communication Systems and Networks: Design, Practice, and Implementation
暫譯: 現代無線通信系統與網路:設計、實踐與實施
Bhattacharyya, Budhaditya, Kundu, Anindita, Chintanpalli, Anantha Krishna
- 出版商: CRC
- 出版日期: 2026-08-03
- 售價: $6,580
- 貴賓價: 9.5 折 $6,251
- 語言: 英文
- 頁數: 368
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 1041112742
- ISBN-13: 9781041112747
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相關分類:
行動通訊 Mobile-communication
尚未上市,無法訂購
商品描述
This book examines real-world applications, including mobile communication, the Internet of Things (IoT), and wireless sensor networks, emphasizing practical deployment. It further discusses device-to-device communication protocols, wireless personal area networks, and wireless body area networks. The book highlights opportunities and challenges with experimental software-defined radio networks.
Features:
- Provides an in-depth exploration of the recent technologies in the domain of wireless communication systems and networks.
- Examines real-world applications, including mobile communication, the IoT, and wireless sensor networks and emphasizes practical deployment.
- Addresses key challenges in 5G wireless networks and beyond, like spectrum management and maximizing utilization while minimizing interference.
- Discusses mmWave communication, software-defined radio, cognitive radio networks, and non-orthogonal multiple access (NOMA).
- Explains the concepts of machine learning and deep learning models and how they can be applied in the domain of wireless communication and networks to draw meaningful conclusions.
It is primarily written for senior undergraduates, graduate students, and academic researchers in electrical engineering, electronics and communications engineering, wireless communications, networking communications, telecommunications, and communications system design.
商品描述(中文翻譯)
這本書探討了現實世界的應用,包括行動通信、物聯網 (IoT) 和無線感測器網路,強調實際部署。它進一步討論了設備對設備的通信協議、無線個人區域網路和無線人體區域網路。書中突顯了實驗性軟體定義無線電網路的機會與挑戰。
特色:
- 提供對無線通信系統和網路領域近期技術的深入探索。
- 檢視現實世界的應用,包括行動通信、物聯網和無線感測器網路,並強調實際部署。
- 解決5G無線網路及其後續技術中的關鍵挑戰,如頻譜管理和在最小化干擾的同時最大化利用率。
- 討論毫米波通信、軟體定義無線電、認知無線網路和非正交多重存取 (NOMA)。
- 解釋機器學習和深度學習模型的概念,以及它們如何應用於無線通信和網路領域以得出有意義的結論。
本書主要為電機工程、電子與通信工程、無線通信、網路通信、電信及通信系統設計的高年級本科生、研究生和學術研究人員所撰寫。
作者簡介
Budhaditya Bhattacharyya is currently working as Professor at School of Electronics Engineering (SENSE), Vellore Institute of Technology (VIT), Vellore. His current research interests include deep learning-based channel estimation strategies for Next Generation wireless networks and intrusion detection analysis for 5G networks.
Anindita Kundu is an Associate Professor in the Department of Software Systems, School of Computer Science and Engineering, of Vellore Institute of Technology, Vellore. Her current research interests include Robotic Path Planning, Internet of Things and Opportunistic Networks.
Ananthakrishna Chintanpalli is currently a Professor at the Department of Communication Engineering, School of Electronics Engineering, Vellore Institute of Technology (VIT), Vellore. His research interests include signal processing, bio-medical signal processing, auditory modeling to predict speech recognition scores, psychoacoustics, speech processing, and deep neural networks.
Xavier Fernando is a Professor at Toronto Metropolitan University (TMU), Canada. His area of research is application of machine learning and artificial intelligence to resolve various engineering and IoT challenges.
作者簡介(中文翻譯)
Budhaditya Bhattacharyya 目前擔任維洛爾科技學院 (VIT) 電子工程學院 (SENSE) 的教授。他目前的研究興趣包括基於深度學習的下一代無線網路通道估計策略以及5G網路的入侵檢測分析。
Anindita Kundu 是維洛爾科技學院 (VIT) 計算機科學與工程學院軟體系統系的副教授。她目前的研究興趣包括機器人路徑規劃、物聯網和機會網路。
Ananthakrishna Chintanpalli 目前是維洛爾科技學院 (VIT) 電子工程學院通訊工程系的教授。他的研究興趣包括信號處理、生物醫學信號處理、聽覺建模以預測語音識別分數、心理聲學、語音處理和深度神經網路。
Xavier Fernando 是加拿大多倫多大都會大學 (TMU) 的教授。他的研究領域是應用機器學習和人工智慧來解決各種工程和物聯網挑戰。