Intelligent Sensing and Communications for Internet of Everything

Intelligent Sensing and Communications for Internet of Everything

1st Edition - January 14, 2022

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  • Authors: Zhengyu Zhu, Zheng Chu, Xingwang Li
  • eBook ISBN: 9780323903714
  • Paperback ISBN: 9780323856553

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Description

Intelligent Sensing and Communications for Internet of Everything introduces three application scenarios of enhanced mobile broadband (eMBB), large-scale machine connection (mMTC) and ultra reliable low latency communication (URLLC). A new communication model, namely backscatter communication (BackCom), intelligent reflector surface (IRS) and unmanned aerial vehicle (UAV) technology in Internet of Everything (IoE), is described in detail. Also focusing on millimeter wave, the book discusses the potential application of terahertz 6G network spectrum in the Internet of Things (IoT). Finally, the applications of IoE network in big data, artificial intelligence (AI) technology and fog/edge computing technology are proposed.

Key Features

  • Systematically introduces the technical standards and market analysis of 5G's three application scenarios, as well as the problems and challenges faced
  • Provides readers with the knowledge of spectrum energy efficiency and cost-effective IoE network solutions
  • Introduces the application of physical layer related technologies to the IoT, such as BackCom, IRS and UAV relay in IoE, and millimeter wave technology
  • Discusses the potential application of terahertz 6G network spectrum in the IoT

Readership

Graduates and researchers in Mobile and wireless communication; R&D engineers in industry

Table of Contents

  • Cover image
  • Title page
  • Table of Contents
  • Copyright
  • Chapter 1: Background and introduction
  • Abstract
  • 1.1. Background
  • 1.2. Introduction
  • 1.3. Suggestions to promote 6G research and development
  • Chapter 2: Three major operating scenarios of 5G: eMBB, mMTC, URLLC
  • Abstract
  • 2.1. Introduction
  • 2.2. Opportunistic spectrum sharing for D2D-based URLLC
  • 2.3. Cooperative wireless-powered NOMA relaying for B5G IoT networks with hardware impairments and channel estimation errors
  • 2.4. I/Q imbalance aware nonlinear wireless-powered relaying of B5G networks: security and reliability analysis
  • References
  • Chapter 3: Backscatter technology and intelligent reflecting technology surface technology in the Internet of Things
  • Abstract
  • 3.1. Introduction
  • 3.2. Secrecy analysis of ambient backscatter NOMA systems under I/Q imbalance
  • 3.3. Hardware impaired ambient backscatter NOMA systems: reliability and security
  • 3.4. Physical layer security of cognitive ambient backscatter communications for green Internet-of-Things
  • 3.5. Future research prospects
  • References
  • Chapter 4: Unmanned aerial vehicle technology in IoE
  • Abstract
  • 4.1. Introduction
  • 4.2. Energy efficiency characterization in heterogeneous IoT system with UAV swarms based on wireless power transfer
  • 4.3. UAV-aided multiway NOMA networks with residual hardware impairments
  • 4.4. A unified framework for HS-UAV NOMA networks: performance analysis and location optimization
  • 4.5. Future research prospects
  • References
  • Chapter 5: MmWave technology and Terahertz technology IoT communications
  • Abstract
  • 5.1. Introduction
  • 5.2. Hybrid precoding design for wideband THz massive MIMO-OFDM systems with beam squint
  • 5.3. Robust beamforming designs in secure MIMO SWIPT IoT networks with a non-linear channel model
  • 5.4. Robust design for intelligent reflecting surface assisted MIMO-OFDMA Terahertz IoT networks
  • References
  • Chapter 6: Artificial intelligence technology in the Internet of things
  • Abstract
  • 6.1. Introduction
  • 6.2. Exploiting deep learning for secure transmission in an underlay cognitive radio network
  • 6.3. Q-learning based task offloading and resources optimization for a collaborative computing system
  • References
  • Chapter 7: Fog/edge computing technology and big data system with IoT
  • Abstract
  • 7.1. Introduction
  • 7.2. Edge cache-assisted secure low-latency millimeter wave transmission
  • 7.3. Delay minimization for massive MIMO assisted mobile edge computing
  • 7.4. Future research directions
  • References
  • Index

Product details

  • No. of pages: 356
  • Language: English
  • Copyright: © Academic Press 2022
  • Published: January 14, 2022
  • Imprint: Academic Press
  • eBook ISBN: 9780323903714
  • Paperback ISBN: 9780323856553

About the Authors

Zhengyu Zhu

Dr Zhengyu Zhu is with the School of Information Engineering, Zhengzhou University, Zhengzhou, China. since July 2017. received the Ph.D. (Hons.) degree in information engineering from Zhengzhou University, Zhengzhou, China, in 2017. From October 2013 to October 2015, he visited the Wireless Communication Laboratory, Korea University, Seoul, South Korea, to conduct a collaborative research as a Visiting Student. He is currently a Lecturer with Zhengzhou University. His research interests include information theory and signal processing for wireless communications such as 5G, the Internet of Things, machine learning, multiple-input multiple-output wireless networks, physical layer security, wireless cooperative networks, convex optimization techniques, and energy harvesting communication systems. Currently, he has authored/co-authored 50+ journal and conference papers with 600+ citations (h-index of 13 in Google Scholar profile: ), where one journal paper have been classified as ESI Highly Cited Paper. He is Member of IEEE.

Affiliations and Expertise

Lecturer, Zhengzhou University, Zhengzhou, Henan, China

Zheng Chu

Dr Zheng Chu is with the Institute for Communication Systems (ICS), University of Surrey, U.K. since Nov. 2017. He was with the Faculty of Science and Technology, Middlesex University, London, U.K. from 2016 to 2017. He received Msc. and Ph.D. degrees in School of Electrical and Electronic Engineering, Newcastle University, U.K., in 2012 and 2016, respectively. He is Member of IEEE, and Fellow of The Higher Education Academy (FHEA). Jul. 2015-present Associate Professor School of Physics and Electronic Information Engineering, Henan Polytechnic University, China Sep. 2017-Sep. 2018 Visiting Scholar Institute of Electronics, Communications & Information Technology (ECIT), Queen's University Belfast, U.K. Sep. 2016-Sep. 2018 Visiting Scholar. State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunication Jul.2010-Aug.2012 Communication Engineer. Comba Telecom Systems Holdings Co., Ltd, Engineering

Affiliations and Expertise

Associate Professor, School of Physics and Electronic Information Engineering, Henan Polytechnic University, Jiaozuo, Henan, China

Xingwang Li

Xingwang Li received the B.Sc. degree from Henan Polytechnic University, in 2007, the M.Sc. degree from the University of Electronic Science and Technology of China, in 2010, and the Ph.D. degree from the Beijing University of Posts and Telecommunications, in 2015. From 2010 to 2012, he was working with Comba Telecom Ltd., Guangzhou, China, as an Engineer. From 2017 to 2018, he was a Visiting Scholar with Queen’s University Belfast, Belfast, U.K. He is currently an Associate Professor with the School of Physics and Electronic Information Engineering, Henan Polytechnic University, Jiaozuo, China. His research interests include MIMO communication, cooperative communication, hardware constrained communication, non orthogonal multiple access, physical layer security, unmanned aerial vehicles, and the Internet-of-Things. Dr. Li is the senior member of IEEE. He is currently an Editor on the Editorial Board of IEEE ACCESS, Computer Communications, Physical Communication, and KSII Transactions on Internet and Information Systems. He is also a Lead Guest Editor of the special issue on Recent Advances in Physical Layer Technologies for 5GEnabled Internet of Things of Wireless Communications and Mobile Computing. He has served as many TPC/Co-Chair, such as IEEE GLOBECOM, IEEE/CIC ICCC, IEEE WCNC, IEEE VTC, and IEEE/IET CSNDSP.

Affiliations and Expertise

School of Physics and Electronic Information Engineering, Henan Polytechnic University, Jiaozuo, China

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