Academic Press Intelligent Sensing and Communications for Internet of Everything

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. Review A complete reference on the role of intelligent signal processing for the Internet of Things From the Back Cover <p>Intelligent Sensing and Communications for Internet of Everything</p> <p>Zhengyu Zhu, Zheng Chu, Xingwang Li</p><i> <p>Intelligent Sensing and Communications for Internet of Everything</p></i><p> 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. </p> <p>Key Features</p> <ul> <p> <li>Systematically introduces the technical standards and market analysis of 5G's three application scenarios, as well as the problems and challenges faced</li> <p> <li>Provides readers with the knowledge of spectrum energy efficiency and cost-effective IoE network solutions</li> <p> <li>Introduces the application of physical layer related technologies to the IoT, such as BackCom, IRS and UAV relay in IoE, and millimeter wave technology</li> <p> <li>Discusses the potential application of terahertz 6G network spectrum in the IoT</li> </p></p></p></p></ul> <p>Dr. Zhengyu Zhu received the Ph.D. (Hons.) degree in information engineering from Zhengzhou University, Zhengzhou, China, in 2017. He is currently a Lecturer at Zhengzhou University. His research interests include information theory and signal processing for wireless communications such as 5G/6G, the Internet of Things, machine learning, multiple-input multiple-output wireless networks, physical layer security, intelligent reflecting surface aided Wireless Networks, convex optimization techniques, and wireless energy transmission systems. </p> <p>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. </p> <p>Dr. 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. He is currently an Associate Professor with the School of Physics and Electronic Information Engineering, Henan Polytechnic University, Jiaozuo, China. </p> About the Author 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 O