Produktbild: Intelligent Surfaces Empowered 6G Wireless Network

Intelligent Surfaces Empowered 6G Wireless Network

145,99 €

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Beschreibung

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

06.12.2023

Herausgeber

Qingqing Wu + weitere

Verlag

John Wiley & Sons

Seitenzahl

364

Maße (L/B/H)

23,5/15,7/2,4 cm

Gewicht

680 g

Auflage

1. Auflage

Sprache

Englisch

ISBN

978-1-119-91309-2

Beschreibung

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

06.12.2023

Herausgeber

Verlag

John Wiley & Sons

Seitenzahl

364

Maße (L/B/H)

23,5/15,7/2,4 cm

Gewicht

680 g

Auflage

1. Auflage

Sprache

Englisch

ISBN

978-1-119-91309-2

EU-Ansprechpartner

Zeitfracht Medien GmbH
Ferdinand-Jühlke-Straße 7
99095 Erfurt
DE
produktsicherheit@zeitfracht.de

Herstelleradresse

Wiley & Sons
1 Oldlands Way
PO22 9NQ Bognor Regis
GB
trade@wiley.com

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  • Produktbild: Intelligent Surfaces Empowered 6G Wireless Network
  • About the Editors xiii
     
    List of Contributors xv
     
    Preface xxi
     
    Acknowledgement xxiii
     
    Part I Fundamentals of IRS 1
     
    1 Introduction to Intelligent Surfaces 3
    Kaitao Meng, Qingqing Wu, Trung Q. Duong, Derrick Wing Kwan Ng, Robert Schober, and Rui Zhang
     
    1.1 Background 3
     
    1.2 Concept of Intelligent Surfaces 5
     
    1.3 Advantages of Intelligence Surface 7
     
    1.4 Potential Applications 8
     
    1.5 Conclusion 12
     
    2 IRS Architecture and Hardware Design 15
    Zijian Zhang, Yuhao Chen, Qiumo Yu, and Linglong Dai
     
    2.1 Metamaterials: Basics of IRS 15
     
    2.2 Programmable Metasurfaces 16
     
    2.3 IRS Hardware Design 18
     
    2.4 State-of-the-Art IRS Prototype 23
     
    3 On Path Loss and Channel Reciprocity of RIS-Assisted Wireless Communications 37
     
    Wankai Tang, Jinghe Wang, Jun Yan Dai, Marco Di Renzo, Shi Jin, Qiang Cheng, and Tie Jun Cui
     
    3.1 Introduction 37
     
    3.2 Path Loss Modeling and Channel Reciprocity Analysis 39
     
    3.3 Path Loss Measurement and Channel Reciprocity Validation 47
     
    3.4 Conclusion 54
     
    4 Intelligent Surface Communication Design: Main Challenges and Solutions 59
    Kaitao Meng, Qingqing Wu, and Rui Zhang
     
    4.1 Introduction 59
     
    4.2 Channel Estimation 59
     
    4.3 Passive Beamforming Optimization 65
     
    4.4 IRS Deployment 73
     
    4.5 Conclusion 79
     
    Part II IRS for 6G Wireless Systems 83
     
    5 Overview of IRS for 6G and Industry Advance 85
    Ruiqi (Richie) Liu, Konstantinos D. Katsanos, Qingqing Wu, and George C. Alexandropoulos
     
    5.1 IRS for 6G 85
     
    5.2 Industrial Progresses 98
     
    6 RIS-Aided Massive MIMO Antennas 117
    Stefano Buzzi, Carmen D'Andrea, and Giovanni Interdonato
     
    6.1 Introduction 117
     
    6.2 System Model 119
     
    6.3 Uplink/Downlink Signal Processing 123
     
    6.4 Performance Measures 126
     
    6.5 Optimization of the RIS Phase Shifts 128
     
    6.6 Numerical Results 130
     
    6.7 Conclusions 134
     
    7 Localization, Sensing, and Their Integration with RISs 139
    George C. Alexandropoulos, Hyowon Kim, Jiguang He, and Henk Wymeersch
     
    7.1 Introduction 139
     
    7.2 RIS Types and Channel Modeling 142
     
    7.3 Localization with RISs 147
     
    7.4 Sensing with RISs 154
     
    7.5 Conclusion and Open Challenges 159
     
    8 IRS-Aided THz Communications 167
    Boyu Ning and Zhi Chen
     
    8.1 IRS-Aided THz MIMO System Model 167
     
    8.2 Beam Training Protocol 168
     
    8.3 IRS Prototyping 175
     
    8.4 IRS-THz Communication Applications 182
     
    9 Joint Design of Beamforming, Phase Shifting, and Power Allocation in a Multi-cluster IRS-NOMA Network 187
    Ximing Xie, Fang Fang, and Zhiguo Ding
     
    9.1 Introduction 187
     
    9.2 System Model and Problem Formulation 190
     
    9.3 Alternating Algorithm 193
     
    9.4 Simulation Result 200
     
    9.5 Conclusion 203
     
    10 IRS-Aided Mobile Edge Computing: From Optimization to Learning 207
    Xiaoyan Hu, Kai-Kit Wong, Christos Masouros, and Shi Jin
     
    10.1 Introduction 207
     
    10.2 System Model and Objective 208
     
    10.3 Optimization-Based Approaches to IRS-Aided MEC 211
     
    10.4 Deep Learning Approaches to IRS-Aided MEC 216
     
    10.5 Comparative Evaluation Results 222
     
    10.6 Conclusions 226
     
    11 Interference Nulling Using Reconfigurable Intelligent Surface 229
    Tao Jiang, Foad Sohrabi, and Wei Yu
     
    11.1 Introduction 229
     
    11.2 System Model 231
     
    11.3 Interference Nulling via RIS 232
     
    11.4 Learning to Minimize Interference 241