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Backscattering and RF Sensing for Future Wireless Communication [Kietas viršelis]

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  • Formatas: Hardback, 224 pages, aukštis x plotis x storis: 244x170x18 mm, weight: 539 g
  • Išleidimo metai: 22-Apr-2021
  • Leidėjas: John Wiley & Sons Inc
  • ISBN-10: 1119695651
  • ISBN-13: 9781119695653
Kitos knygos pagal šią temą:
  • Formatas: Hardback, 224 pages, aukštis x plotis x storis: 244x170x18 mm, weight: 539 g
  • Išleidimo metai: 22-Apr-2021
  • Leidėjas: John Wiley & Sons Inc
  • ISBN-10: 1119695651
  • ISBN-13: 9781119695653
Kitos knygos pagal šią temą:
"We are at a stage at which evolution in the field of wireless communications not only requires futuristic technologies but a change of mindset of how the environment interacts with these technologies. The deployment of next-generation wireless networks,particularly in the millimetre wave frequency range, poses significant challenges. Whilst there have been numerous technologies proposed to improve the efficiency of a wireless communication system, the current state-of-the-art is not yet sufficiently mature to deploy commercial, large-scale networks. Backscattering of the wireless signal using intelligent planar structures has recently emerged as the most exciting technique to improve a wireless network's performance, through which the channel characteristics can be sensed. This can be utilized to reconfigure the channel resulting in better quality of service. This book provides in-depth coverage of the fundamental physics behind these intelligent planar structures, and assesses the enhancement of the performance of a communication network in challenging environments such as a densely populated urban area"--

Discover what lies ahead in wireless communication networks with this insightful and forward-thinking book written by experts in the field

Backscattering and RF Sensing for Future Wireless Communication delivers a concise and insightful picture of emerging and future trends in increasing the efficiency and performance of wireless communication networks. The book shows how the immense challenge of frequency saturation could be met via the deployment of intelligent planar electromagnetic structures. It provides an in-depth coverage of the fundamental physics behind these structures and assesses the enhancement of the performance of a communication network in challenging environments, like densely populated urban centers.

The distinguished editors have included resources from a variety of leading voices in the field who discuss topics like the engineering of metasurfaces at a large scale, the electromagnetic analysis of planar metasurfaces, and low-cost and reliable backscatter communication. All of the included works focus on the facilitation of the development of intelligent systems designed to enhance communication network performance. Readers will also benefit from the inclusion of:

  • A thorough introduction to the evolution of wireless communication networks over the last thirty years, including the imminent saturation of the frequency spectrum
  • An exploration of state-of-the-art techniques that next-generation wireless networks will likely incorporate, including software-controlled frameworks involving artificial intelligence
  • An examination of the scattering of electromagnetic waves by metasurfaces, including how wave propagation differs from traditional bulk materials
  • A treatment of the evolution of artificial intelligence in wireless communications

    Perfect for researchers in wireless communications, electromagnetics, and urban planning, Backscattering and RF Sensing for Future Wireless Communication will also earn a place in the libraries of government policy makers, technologists, and telecom industry stakeholders who wish to get a head start on understanding the technologies that will enable tomorrows wireless communications.

  • Preface xii
    List of Contributors
    xv
    1 Intelligent Reflective Surfaces -- State of the Art
    1(18)
    Jalil ur Rehman Kazim
    Hasan T. Abbas
    Muhammad Ali Imran
    Qammer H. Abbasi
    1.1 Background
    1(1)
    1.2 Introduction to Reflective Surfaces
    1(1)
    1.3 Intelligent Reflective Surface
    2(3)
    1.3.1 Theory of Operation
    3(2)
    1.4 Potential Use Cases
    5(1)
    1.4.1 Application of RIS in Communication
    5(1)
    1.4.2 Application of RIS in Health Care
    6(1)
    1.5 RIS as an Alternative to Relay
    6(1)
    1.6 Coded and Programmable RIS
    7(1)
    1.7 Functionalities of RIS
    8(2)
    1.7.1 Beam Focusing
    8(1)
    1.7.2 Beam Scattering/Diffusion
    8(1)
    1.7.3 Multi-Beam Generation
    9(1)
    1.7.4 Anomalous Reflection
    9(1)
    1.7.5 RIS as a Single RF Chain Transmitter
    10(1)
    1.8 Architecture
    10(4)
    1.8.1 Electromagnetic Layer
    11(1)
    1.8.2 DC Control Layer
    11(1)
    1.8.3 Controller Board Interfacing
    12(2)
    1.9 Summary
    14(5)
    References
    14(5)
    2 Signal Modulation Schemes in Backscatter Communications
    19(22)
    Yuan Ding
    George Goussetis
    Ricardo Correia
    Nuno Barges Carvalho
    Romwald Lihakanga
    Chaoyun Song
    2.1 Introduction
    19(1)
    2.2 Principles of Backscatter Modulations and Some Common Schemes
    20(6)
    2.2.1 Amplitude Shift Keying (ASK)
    20(2)
    2.2.2 Frequency Shift Keying (FSK)
    22(2)
    2.2.3 Phase Shift Keying (PSK)
    24(1)
    2.2.4 Quadrature Amplitude Modulation (QAM)
    25(1)
    2.3 Chirp Spread Spectrum (CSS) Modulation
    26(8)
    2.4 Multicarrier Backscatter Transmission
    34(3)
    2.5 Summary
    37(4)
    References
    38(3)
    3 Electromagnetic Waves Scattering Characteristics of Metasurfaces
    41(30)
    Muhammad Ali Babar Abbasi
    Dmitry E. Zelenchuk
    Abdul Quddious
    3.1 Introduction
    41(5)
    3.1.1 General Classifications of Metasurfaces
    42(2)
    3.1.2 Characterization Approaches of Metasurfaces
    44(2)
    3.2 Metasurface Applications and Practical Examples
    46(19)
    3.2.1 Absorptive, Reflective, and Diffusion-Type Metasurfaces
    47(1)
    3.2.2 Refractive and Transmission-Type Metasurfaces
    48(1)
    3.2.3 Digitally Encoded Metasurfaces
    49(1)
    3.2.4 Polarization-Sensitive Metasurface Spectral Filtering
    50(3)
    3.2.5 Beamforming with Polarization-Controlling Metasurfaces
    53(2)
    3.2.6 Beamforming with Reflective-Type Metasurfaces
    55(1)
    3.2.7 Circular Polarization-Selective Metasurfaces
    56(3)
    3.2.8 Passive Lossless Huygens' Metasurfaces
    59(2)
    3.2.9 Cavity-Excited Huygens' Metasurface Antenna
    61(2)
    3.2.10 Passive Lossless Omega-Type Bianisotropic Metasurface
    63(2)
    3.3 Conclusion
    65(6)
    References
    65(6)
    4 Metasurfaces Based on Huygen's Wavefront Manipulation
    71(14)
    Abubakar Sharif
    Jun Ouyang
    Kamran Arshad
    Muhammad Ali Imran
    Qammer H. Abbasi
    4.1 Introduction
    71(1)
    4.2 Huygens' Metasurfaces (HMSs)
    72(4)
    4.3 HMS Applications
    76(2)
    4.3.1 HMS Refraction
    76(1)
    4.3.2 Antennas Beamforming
    77(1)
    4.3.3 Perfect Reflections and Focusing
    77(1)
    4.3.4 Beam Scanning
    77(1)
    4.4 Conclusion and Key Scientific Issues to Be Addressed
    78(1)
    4.5 Future Trends
    79(6)
    References
    81(4)
    5 Metasurface: An Insight into Its Applications
    85(34)
    Fahad Ahmed
    Nosherwan Shoaib
    5.1 Polarization
    86(1)
    5.2 Polarizers
    86(20)
    5.2.1 Basic Principle
    86(9)
    5.2.2 Geometrical Configuration
    95(2)
    5.2.2.1 Cross-Polarizer -- HWP
    97(4)
    5.2.2.2 Circular Polarizer -- QWP
    101(3)
    5.2.2.3 HWP and QWP in Transmission Mode
    104(2)
    5.3 Beam Splitter
    106(5)
    5.3.1 Design Example
    107(2)
    5.3.2 Mathematical Background
    109(2)
    5.4 Absorbers
    111(5)
    5.4.1 Mathematical Background
    111(1)
    5.4.2 Design Examples
    112(4)
    5.5 Summary
    116(3)
    References
    117(2)
    6 The Role of Smart Metasurfaces in Smart Grid Energy Management
    119(14)
    Islam Safak Bayram
    Muhammad Ismail
    Raka Jovanovic
    6.1 Introduction
    119(1)
    6.2 Smart Metasurfaces
    120(2)
    6.3 Communication Support in Smart Power Grids
    122(5)
    6.3.1 Demand Response and Energy Management
    122(2)
    6.3.2 Plug-In Electric Vehicle Load Management
    124(1)
    6.3.3 Grid Monitoring and State Estimation
    124(2)
    6.3.4 Peer-to-Peer Energy Trading
    126(1)
    6.3.5 Potential Applications of Intelligent Surfaces in Smart Energy Grids
    127(1)
    6.4 Case Study: Communication System Performance Improvement in Vehicle-to-Grid Networks
    127(3)
    6.5 Conclusions
    130(3)
    References
    130(3)
    7 Passive UHF RFID Tag Antennas-Based Sensing for Internet of Things Paradigm
    133(624)
    Abubakar Sharif
    Jun Ouyang
    Kamran Arshad
    Muhammad Ali Imran
    Qammer H. Abbasi
    7.1 Introduction: Healthcare Provision and Radar Technology
    133(3)
    1.2 UHF RFID Fundamentals and Performance Metrics
    136(7)
    7.2.1 UHF RFID Microchips Insight
    137(1)
    7.2.2 Performance Parameters for Passive UHF RFID Tag Antennas
    137(1)
    7.2.2.1 Input Impedance and Bandwidth
    137(3)
    7.2.2.2 Radar Cross Section (RCS)
    140(1)
    7.2.2.3 Read Range
    140(3)
    7.3 Sensing Methodology and Techniques
    143(7)
    7.3.1 Single Tag Antenna-Based Sensing
    143(1)
    7.3.1.1 UHF RFID Backscattering-Based Sensing Methodology
    144(2)
    7.3.2 Single Tag Antenna with On-chip Circuitry-Based Sensing
    146(2)
    7.3.3 Multiport Tag Antenna-Based Sensing
    148(1)
    7.3.4 Reference Multiple Tag-Based Sensing
    149(1)
    7.4 Conclusion and Outstanding Challenges
    150(1)
    7.5 Future Trends
    151(1)
    References
    152(5)
    8 RF Sensing for Healthcare Applications
    157(1)
    Syed Aziz Shah
    Hasan Abbas
    Muhammad Ali Imran
    Qammer H. Abbasi
    8.1 Introduction
    157(1)
    8.2 Basics of RF Sensing in Remote Healthcare
    158(1)
    8.3 Challenges in RF Sensing Technologies
    159(1)
    8.3.1 Robust RF System for Healthcare
    159(1)
    8.3.2 Reliability of RF Sensing for Remote Patient Monitoring
    160(1)
    8.3.3 Affordability in RF Systems for Healthcare
    160(1)
    8.3.4 Ethical Approval and Consent of Patients for Data Acquisition
    160(1)
    8.4 Wireless Sensing Technologies for Healthcare Applications
    160(2)
    8.4.1 Radar Sensing Technologies for Healthcare Applications
    161(1)
    8.4.2 Active Radar Sensing in Remote Healthcare
    161(1)
    8.4.3 Passive Radar in Remote Healthcare
    161(1)
    8.5 RF Sensing Signal Processing for Patient Monitoring
    162(4)
    8.5.1 Feature Extraction from Single RF Sensor
    162(1)
    8.5.2 Radar Features for Machine Learning Algorithms
    163(1)
    8.5.3 Automatic Feature Selection in Machine Learning
    163(1)
    8.5.4 Multiple Sensor Combination
    164(1)
    8.5.5 Working Function of Multiple Sensors
    164(1)
    8.5.6 Multiple Sensor Architectures
    164(1)
    8.5.7 Classification of Active Radar Sensor Node
    164(2)
    8.6 Active Radar Sensing in Digital Healthcare
    166(1)
    8.7 Posture Recognition on Bed
    166(6)
    8.7.1 RF Sensing for Patients with Sleep Disorders
    166(1)
    8.7.2 Radio Frequency Identification for Patients
    167(1)
    8.7.3 Radar Sensing for Occupancy Monitoring in Healthcare Sector
    167(1)
    8.7.4 Activities of Daily Livings and Critical Events
    168(1)
    8.7.5 Noncontact Wi-Fi Sensing for Patient Monitoring
    169(1)
    8.7.6 Wi-Fi-Based Activities of Daily Livings
    170(1)
    8.7.7 Vital Signs Monitoring using Wi-Fi Signals
    170(2)
    8.7.8 Sleep Attack Detection using CSI Wi-Fi Technologies
    172(1)
    8.8 Radio Frequency Identification Sensing for Patient Monitoring
    172(7)
    8.8.1 Radio Frequency Identification Sensing for Patient for Patient Tracking
    172(1)
    8.8.2 Radio Frequency Identification Sensing for Patient for Disease Detection
    172(1)
    8.8.3 Radio Frequency Identification Sensing for Patient to Identify Falls
    173(1)
    8.9.4 Radio Frequency Identification Sensing for Patient for Intricate Body Movement Observations
    174(1)
    References
    174(5)
    9 Electromagnetic Wave Manipulation with Metamaterials and Metasurfaces for Future Communication Technologies
    179(26)
    Muhammad Qasim Mehmood
    Junsuk Rho
    Muhammad Zubair
    9.1 Introduction
    179(6)
    9.2 Meta-Atoms for Optical Frequencies
    185(7)
    9.2.1 Nano Half-Wave Plates
    186(3)
    9.2.2 Step-Indexed Nano-Waveguides
    189(1)
    9.2.3 Supercell
    190(2)
    9.3 Applications
    192(8)
    9.4 Summary
    200(5)
    References
    200(5)
    10 Conclusion
    205(2)
    Qammer H. Abbasi
    Hasan T. Abbas
    Akram Alomainy
    Muhammad Ali Imran
    10.1 Future Hot Topics
    205(1)
    10.1.1 Signal Modulation
    205(1)
    10.1.2 Channel Estimation
    205(1)
    10.1.3 Low-Throughput
    206(1)
    10.1.4 Network Security
    206(1)
    10.1.5 Energy Management
    206(1)
    10.2 Concluding Remarks
    206(1)
    Index 207
    Qammer H. Abbasi, is Senior Lecturer (Associate Professor) and Deputy Head of Communications Sensing and Imaging Group in the James Watt School of Engineering at the University of Glasgow, UK.

    Hasan T. Abbas, PhD, is a Lecturer at the James Watt School of Engineering, University of Glasgow, UK. His research interests are focused on plasmonics, numerical methods in electromagnetics and healthcare analytics.

    Akram Alomainy, PhD, is a Reader in Antennas & Applied EM at Queen Mary University, UK. He is Associate Editor for IEEE AWPL and IEEE J-ERM and leads Wearable Technology and Creativity Research.

    Muhammad A. Imran is Dean at the University of Glasgow, UESTC, Professor of Communication Systems and Head of Communications Sensing and Imaging Group in the James Watt School of Engineering at the University of Glasgow, UK.