Intelligent Reconfigurable Surfaces (IRS) for Prospective 6G Wireless Networks (eBook, ePUB)

Redaktion: Imran, Muhammad Ali; Abbasi, Qammer H.; Cui, Tei Jun; Muhaidat, Sami; Bariah, Lina; Mohjazi, Lina

• Format: ePub

Produktbeschreibung

Intelligent Reconfigurable Surfaces (IRS) for Prospective 6G Wireless Networks Authoritative resource covering preliminary concepts and advanced concerns in the field of IRS and its role in 6G wireless systems Intelligent Reconfigurable Surfaces (IRS) for Prospective 6G Wireless Networks provides an in-depth treatment of the fundamental physics behind reconfigurable metasurfaces, also known as intelligent reflecting surfaces (IRS), and outlines the research roadmap towards their development as a low-complexity and energy-efficient solution aimed at turning the wireless environment into a software-defined entity. The text demonstrates IRS from different angles, including the underlying physics, hardware architecture, operating principles, and prototype designs. It enables readers to grasp the knowledge of the interplay of IRS and state-of-the-art technologies, examining the advantages, key principles, challenges, and potential use-cases. Practically, it equips readers with the fundamental knowledge of the operational principles of reconfigurable metasurfaces, resulting in its potential applications in various intelligent, autonomous future wireless communication technologies. To aid in reader comprehension, around 50 figures, tables, illustrations, and photographs to comprehensively present the material are also included. Edited by a team of highly qualified professionals in the field, sample topics covered are as follows: * Evolution of antenna arrays design, introducing the fundamental principles of antenna theory and reviewing the stages of development of the field; * Beamforming design for IRS-assisted communications, discussing optimal IRS configuration in conjunction with overviewing novel beamforming designs; * Reconfigurable metasurfaces from physics to applications, discussing the working principles of tunable/reconfigurable metasurfaces and their capabilities and functionalities; * IRS hardware architectures, detailing the general hardware architecture of IRS and features related to the IRS's main operational principle; * Wireless communication systems assisted by IRS, discussing channel characterization, system integration, and aspects related to the performance analysis and network optimization of state-of-the-art wireless applications. For students and engineers in wireless communications, microwave engineering, and radio hardware and design, Intelligent Reconfigurable Surfaces (IRS) for Prospective 6G Wireless Networks serves as an invaluable resource on the subject and is a useful course accompaniment for general Antenna Theory, Microwave Engineering, Electromagnetics courses.

---

Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, BG, CY, CZ, D, DK, EW, E, FIN, F, GR, HR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.

Produktdetails

• Verlag: John Wiley & Sons
• Seitenzahl: 304
• Erscheinungstermin: 23. November 2022
• Englisch
• ISBN-13: 9781119875277
• Artikelnr.: 66679508

Autorenporträt

Muhammad Ali Imran, Professor of Communication Systems in University of Glasgow, Dean University of Glasgow UESTC and Head of Communications, Sensing and Imaging Group. Lina Mohjazi, Lecturer, with the James Watt School of Engineering, University of Glasgow, UK. Lina Bariah, Senior Researcher, with the Technology Innovation Institute, Abu Dhabi, UAE, and with the James Watt School of Engineering, University of Glasgow, UK. Sami Muhaidat, Professor, with the KU Center for Cyber-Physical Systems, Khalifa University, Abu Dhabi, UAE. Tie Jun Cui, Chief Professor of Southeast University, Nanjing, China. Qammer H. Abbasi, Reader with the James Watt School of Engineering and Deputy Head for Communication Sensing and Imaging Group, University of Glasgow, UK.

Inhaltsangabe

List of Contributors xiii

1 Introduction 1
Muhammad Ali Imran, Lina Mohjazi, Lina Bariah, Sami Muhaidat, Tei Jun Cui, and Qammer H. Abbasi

References 5

2 IRS in the Near-Field: From Basic Principles to Optimal Design 7
Konstantinos Dovelos, Stylianos D. Assimonis, Hien Q. Ngo, and Michail Matthaiou

2.1 Introduction 7

2.2 Basic Principles 8

2.2.1 IRS Model 8

2.2.2 Signal Model of IRS-Aided System 9

2.3 Near-Field Channel Model 10

2.3.1 Spherical Wavefront 10

2.3.2 Path Loss 12

2.4 Phase Shift Design 13

2.4.1 Beamfocusing 13

2.4.2 Conventional Beamforming 14

2.5 Energy Efficiency 17

2.5.1 MIMO System 17

2.5.2 IRS-aided MIMO System 18

2.6 Optimal IRS Placement 19

2.7 Open Future Research Directions 20

2.8 Conclusions 22

References 22

3 Feasibility of Intelligent Reflecting Surfaces to Combine Terrestrial and Non-terrestrial Networks 25
Muhammad A. Jamshed, Qammer H. Abbasi, and Masood Ur-Rehman

3.1 Introduction 25

3.2 Intelligent Reflecting Surfaces 27

3.2.1 Background and Architecture 27

3.2.2 Intelligent Reflecting Surfaces in Wireless Networks 28

3.3 Non-terrestrial Networks 29

3.3.1 Non-terrestrial Networks: 3GPP Vision 30

3.4 Revamping Non-terrestrial Networks Using Intelligent Reflecting Surfaces 34

3.4.1 Satellites for Communication: Background 34

3.4.2 Indoor Connectivity Using Intelligent Reflecting Surfaces 35

3.5 Conclusion 37

References 37

4 Towards the Internet of MetaMaterial Things: Software Enablers for User-Customizable Electromagnetic Wave Propagation 41
Christos Liaskos, Georgios G. Pyrialakos, Alexandros Pitilakis, Ageliki Tsioliaridou, Michail Christodoulou, Nikolaos Kantartzis, Sotiris Ioannidis, Andreas Pitsillides, and Ian F. Akyildiz

4.1 Introduction 41

4.1.1 Key Enabler 1 42

4.1.2 Key Enabler 2 43

4.2 Pre-requisites and Related Work 47

4.2.1 Meta-materials: Principles of Operation, Classification, and Supported Functionalities 49

4.3 Networked meta-materials and SDN workflows 51

4.4 Application Programming Interface for Meta-materials 53

4.4.1 Data Structures of the Meta-material API 55

4.4.2 API Callbacks and Event Handling 56

4.5 The Meta-material Middleware 58

4.5.1 Functionality Optimization Workflow: Meta-material Modelling and State Calibration 60

4.5.2 The Meta-material Functionality Profiler 64

4.6 Software Implementation and Evaluation 65

4.7 Discussion: The Transformational Potential of the IoMMT and Future Directions 73

4.8 Conclusion 75

Acknowledgements 76

References 77

5 IRS Hardware Architectures 83
Jun Y. Dai, Qiang Cheng, and Tie Jun Cui

5.1 Introduction 83

5.2 Concept, Principle, and Composition of IRS 85

5.3 Operation Mode of IRS 87

5.3.1 Prototypes of Wavefront Manipulation Mode 88

5.3.2 Prototypes of Information Modulation Mode 91

5.4 Hardware Configuration of IRS 94

5.5 Conclusions 95

References 95

6 Practical Design Considerations for Reconfigurable Intelligent Surfaces 99
James Rains, Jalil ur Rehman Kazim, Anvar Tukmanov, Lei Zhang, Qammer H. Abbasi, and Muhammad Ali Imran

6.1 Intelligent Reflecting Surface Architecture 99

6.1.1 Tunability of Unit-cell Elements 101

6.1.2 Configuration Networks 105

6.1.3 IRS Control Layer 108

6.2 Physi