5g and Beyond Wireless Network, RF and Microwave Devices: Modern Design and Optimization
暫譯: 5G及未來無線網路、射頻與微波裝置:現代設計與優化

Kumar Choukiker, Yogesh, Bhowmick, Abhijit, K. C., Saranya

  • 出版商: CRC
  • 出版日期: 2026-06-03
  • 售價: $7,570
  • 貴賓價: 9.5$7,191
  • 語言: 英文
  • 頁數: 324
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 1041130147
  • ISBN-13: 9781041130147
  • 相關分類: 5G
  • 尚未上市,無法訂購

商品描述

This book provides a fundamental understanding of wireless communication, radio frequency (RF), and microwave devices for next-generation wireless communications. Various security issues and their solutions are included, and the book also covers machine learning techniques for advanced communications and antenna design.

5G and Beyond Wireless Network, RF and Microwave Devices: Modern Design and Optimization provides a thorough introduction to antenna design and 5G and B5G wireless networks, as well as cutting-edge technologies that aid in antenna/network design and development. Novel antenna designs and the latest technologies for 5G and future wireless networks are discussed, including multiple-input and multiple-output (MIMO) antennas, reconfigurable antennas, dielectric resonator antennas, metamaterials, reconfigurable intelligent surfaces, and meta-surfaces. Written by leading experts, the book offers insights into the modeling of device-to-device (D2D) networks, UAV-assisted communications, and RIS-assisted networks. Additionally, it explores antenna design and wireless communication networks using machine learning, artificial intelligence, deep learning, and optimization techniques for advanced communication networks, as well as the relevant security issues associated with such systems.

This book serves as a valuable resource to researchers and graduate students working on next-generation advanced wireless communications.

商品描述(中文翻譯)

本書提供了對無線通信、射頻(RF)和微波設備的基本理解,這些都是下一代無線通信所需的。書中包含了各種安全問題及其解決方案,並且還涵蓋了用於先進通信和天線設計的機器學習技術。

《5G及未來無線網絡、RF和微波設備:現代設計與優化》對天線設計以及5G和B5G無線網絡進行了全面介紹,並探討了有助於天線/網絡設計和開發的尖端技術。書中討論了新穎的天線設計和5G及未來無線網絡的最新技術,包括多輸入多輸出(MIMO)天線、可重構天線、介質共振天線、超材料、可重構智能表面和超表面。該書由領先的專家撰寫,提供了對設備對設備(D2D)網絡、無人機輔助通信和RIS輔助網絡建模的見解。此外,它還探討了使用機器學習、人工智慧、深度學習和優化技術進行天線設計和無線通信網絡的先進通信網絡,以及與這些系統相關的安全問題。

本書對於從事下一代先進無線通信研究的研究人員和研究生來說,是一個寶貴的資源。

作者簡介

Abhijit Bhowmick received his BE (hons) degree in Electronics and Telecommunication Engineering in 2002 from Burdwan University, West Bengal, India, and MTech degree in Telecommunication Engineering in 2009 and PhD in 2016 from NIT Durgapur. He joined VIT University, Vellore, India, in the School of Electronics Engineering in 2016 and is an Associate Professor there. His research interests include cognitive radio networks, focusing on spectrum sensing and spectrum sharing issues, cooperative communications in cognitive radio networks, energy harvesting in wireless network, D2D communication, physical layer security issues in wireless networks, and UAV-assisted communication.

Yogesh Kumar Choukiker received his BE degree in 2007 and MTech and the PhD degrees from the National Institute of Technology, Rourkela, India, in 2009 and 2014, respectively, both in Electronics Engineering. He was a visiting research scholar at San Diego State University, California, USA, during his PhD, and has been a professor at Vellore Institute of Technology, since 2014. His specialties include antenna and wave propagation, microstrip antenna (fractal antennas) in the area of wireless applications, MIMO environments, UWB, and reconfigurable fractals.

Saranya Karattupalayam Chidambaram is an Assistant Professor in the School of Electronics Engineering, VIT, India, where she has over thirteen years of experience in teaching and research. She received her B.Tech. degree in Electronics and Communication Engineering; an M.Tech. degree in Communication Engineering from VIT; an M.S. degree in Electrical Engineering and Information Technology from UAS, Darmstadt, Germany; and a Ph.D. in Investigation and Analysis of Vulnerable Road User Detection Methods for Intelligent Vehicle Navigation Systems from VIT. Her research interests include computer vision, deep learning, machine learning, signal processing, intelligent transportation systems and intelligent vehicles, discrete event systems, and active safety systems.

Ananthakrishna Chintanpalli received his Master's degree in Electrical and Computer Engineering (with signal processing as a specialization) from the University of Rhode Island, Kingston, USA, in 2005 and a Ph.D. degree in Biomedical Engineering from Purdue University, West Lafayette, USA, in 2011. He then moved to the Medical University of South Carolina, Charleston, USA, and completed his Postdoctoral training in 2014. He is a Professor in the Department of Communication Engineering, School of Electronics Engineering, Vellore Institute of Technology, India. His research interests include signal processing, biomedical signal processing, auditory modeling to predict speech recognition scores, psychoacoustics, speech processing, and deep neural networks.

Justin Lee Bing received a B.E. (Hons.) degree and Ph.D. in Electronic and Communication Engineering from Curtin University, Australia in 2016 and 2020 respectively. He is working with Universiti Tunku Abdul Rahman (UTAR), Selangor, Malaysia as an Assistant Professor. His research interests include wireless communications, signal processing for communications, simultaneous wireless information and power transfer, stacked intelligence metasurfaces, and non-terrestrial networks.

作者簡介(中文翻譯)

Abhijit Bhowmick於2002年在印度西孟加拉邦的Burdwan大學獲得電子與電信工程的榮譽學士學位,並於2009年獲得電信工程的碩士學位,2016年獲得博士學位,均來自NIT Durgapur。他於2016年加入印度VIT大學電子工程學院,並擔任副教授。他的研究興趣包括認知無線電網絡,專注於頻譜感知和頻譜共享問題、認知無線電網絡中的協作通信、無線網絡中的能量收集、設備對設備(D2D)通信、無線網絡中的物理層安全問題以及無人機輔助通信。

Yogesh Kumar Choukiker於2007年獲得學士學位,並於2009年和2014年分別在印度Rourkela國立技術學院獲得電子工程的碩士和博士學位。他在攻讀博士學位期間曾擔任美國加州聖地牙哥州立大學的訪問研究學者,自2014年以來一直擔任Vellore Institute of Technology的教授。他的專長包括天線和波傳播、無線應用中的微帶天線(分形天線)、MIMO環境、超寬頻(UWB)和可重構分形。

Saranya Karattupalayam Chidambaram是印度VIT電子工程學院的助理教授,擁有超過十三年的教學和研究經驗。她獲得電子與通信工程的學士學位,並在VIT獲得通信工程的碩士學位;在德國達姆施塔特的UAS獲得電氣工程和信息技術的碩士學位;以及在VIT獲得智能車輛導航系統中脆弱道路使用者檢測方法的調查與分析的博士學位。她的研究興趣包括計算機視覺、深度學習、機器學習、信號處理、智能交通系統和智能車輛、離散事件系統以及主動安全系統。

Ananthakrishna Chintanpalli於2005年在美國羅德島大學獲得電氣與計算機工程碩士學位(專攻信號處理),並於2011年在美國普渡大學獲得生物醫學工程博士學位。隨後,他移至美國南卡羅來納醫科大學,並於2014年完成博士後培訓。他是印度Vellore Institute of Technology電子工程學院通信工程系的教授。他的研究興趣包括信號處理、生物醫學信號處理、預測語音識別分數的聽覺建模、心理聲學、語音處理和深度神經網絡。

Justin Lee Bing於2016年和2020年分別在澳大利亞科廷大學獲得電子與通信工程的榮譽學士學位和博士學位。他目前在馬來西亞雪蘭莪的Tunku Abdul Rahman大學擔任助理教授。他的研究興趣包括無線通信、通信的信號處理、同時無線信息和電力傳輸、堆疊智能超表面以及非地面網絡。