Intelligent Signal Processing and RF Energy Harvesting for State of Art 5g and B5g Networks (智慧信號處理與射頻能量收集:尖端5G與B5G網絡的應用)

Sheikh, Javaid A., Khan, Taimoor, Kanaujia, Binod Kumar

  • 出版商: Springer
  • 出版日期: 2024-02-25
  • 售價: $5,860
  • 貴賓價: 9.5$5,567
  • 語言: 英文
  • 頁數: 196
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 9819987709
  • ISBN-13: 9789819987702
  • 相關分類: 5G
  • 海外代購書籍(需單獨結帳)

相關主題

商品描述

The book covers all the emerging paradigms of machine learning and bio-inspired algorithms and their synergies with communication networks which may prove to a core 5G and 6G enablers. It consists of 11 chapters with varied fields. The book introduces the fundamentals of broadband wireless networks and issues related to energy efficiency and optimization. Also, it discusses the efficient bio-inspired algorithms and their utility in wireless networks for 5G, B5G, and IoT. Different fitness functions for different bio-inspired and other artificial intelligence algorithms are described in the book. More importantly it also introduces the concept, implementation, and technological challenges of efficient wireless energy harvesting methods. The book discusses different methodologies for efficient antenna designs. It also covers real-time applications on the Internet of Medical Things (IOMT). The book helps the readers to understand the subject and solve many real-time issues. It proves a ready reference to the researchers working in RF, artificial intelligence, machine learning, and communication networks.

商品描述(中文翻譯)

本書涵蓋了所有新興的機器學習和生物啟發演算法的範式,以及它們與通信網絡的協同作用,這可能成為核心的5G和6G推動力。全書共分為11章,涵蓋多個領域。書中介紹了寬頻無線網絡的基本原理以及與能源效率和優化相關的問題。此外,還討論了高效的生物啟發演算法及其在5G、B5G和物聯網無線網絡中的應用。書中描述了不同生物啟發和其他人工智慧演算法的適應度函數。更重要的是,它還介紹了高效無線能量收集方法的概念、實施及技術挑戰。書中討論了高效天線設計的不同方法論,並涵蓋了醫療物聯網(IOMT)上的實時應用。本書幫助讀者理解該主題並解決許多實時問題,對於從事射頻、人工智慧、機器學習和通信網絡研究的學者來說,是一本隨手可得的參考資料。

作者簡介

Javaid Ahmad Sheikh is Assistant Professor in the Department of Electronics and IT, University of Kashmir. He is Doctorate in Electronics from the University of Kashmir, Srinagar. His expertise in communications, RF, and signal processing is acknowledged by several organizations. He has supervised several students for their Ph.D., M. Phil., and M. Tech. degrees. He has guided more than hundred (100) technical projects having societal relevance. His interest areas are wireless communications, MIMO-based 5G and 6G communication systems, quantum machine learning for future networks, efficient antenna, filter design, and signal processing for communication systems.


Taimoor Khan is an Associate Professor in the Department of Electronics and Communication Engineering at the National Institute of Technology, Silchar, India. His active research interest areas are RF Energy Harvesting and Wireless Power Transfer, Microstrip Antennas, Electromagnetic Bandgap Structures, Dielectric Resonator Antennas, and Artificial Intelligence Paradigms in Electromagnetics. He has published over 140 research papers in international journals and conference proceedings. He is also involved in executing three sponsored research projects under the SPARC Scheme, VAJRA Scheme, and IMPRINT Scheme.


Binod Kumar Kanaujia is Professor in the School of Computational and Integrative Sciences, Jawaharlal Nehru University, New Delhi, India. Prof. Kanaujia's research interests include modeling for RF system design and microstrip antenna, dielectric resonator antenna, left-handed metamaterial microstrip antenna, shorted microstrip antenna, ultra-wideband antennas, reconfigurable and circular polarized antenna for wireless communication and mobile communication, and computational RF radiator. Dr. Kanaujia has guided several students for their Ph. D. program and published over 150 papers in reputed journals.

作者簡介(中文翻譯)

Javaid Ahmad Sheikh 是克什米爾大學電子與資訊技術系的助理教授。他在克什米爾大學(斯利那加)獲得電子學博士學位。他在通訊、射頻(RF)和信號處理方面的專業知識受到多個組織的認可。他指導過多位學生獲得博士、碩士(M. Phil.)和碩士技術(M. Tech.)學位。他指導了超過一百個(100)具有社會相關性的技術專案。他的研究興趣包括無線通訊、基於MIMO的5G和6G通訊系統、未來網路的量子機器學習、高效天線、濾波器設計以及通訊系統的信號處理。

Taimoor Khan 是印度西爾查國立技術學院電子與通訊工程系的副教授。他的研究興趣包括射頻能量收集和無線電力傳輸、微帶天線、電磁帶隙結構、介質共振天線,以及電磁學中的人工智慧範式。他在國際期刊和會議論文集中發表了超過140篇研究論文。他還參與執行三個在SPARC計畫、VAJRA計畫和IMPRINT計畫下的贊助研究專案。

Binod Kumar Kanaujia 是印度新德里賈瓦哈拉爾·尼赫魯大學計算與整合科學學院的教授。Kanaujia教授的研究興趣包括射頻系統設計和微帶天線的建模、介質共振天線、左手型超材料微帶天線、短路微帶天線、超寬頻天線、可重構和圓極化天線在無線通訊和移動通訊中的應用,以及計算射頻輻射器。Kanaujia博士指導過多位學生的博士學位課程,並在知名期刊上發表了超過150篇論文。