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

by Lina Bariah, Lina Mohjazi, Muhammad Ali Imran, Qammer H Abbasi, Sami Muhaidat, Tei Jun Cui

Length: 304 pages
Edition: 1
Language: English
Publisher: Wiley-IEEE Press
Publication Date: 2022-12-13
ISBN-10: 1119875250
ISBN-13: 9781119875253
Sales Rank: #0 (See Top 100 Books)

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.

Cover
Title Page
Copyright
List of Contributors
1 Introduction
    References
2 IRS in the Near‐Field: From Basic Principles to Optimal Design
    2.1 Introduction
    2.2 Basic Principles
    2.3 Near‐Field Channel Model
    2.4 Phase Shift Design
    2.5 Energy Efficiency
    2.6 Optimal IRS Placement
    2.7 Open Future Research Directions
    2.8 Conclusions
    References
    Notes
3 Feasibility of Intelligent Reflecting Surfaces to Combine Terrestrial and Non‐terrestrial Networks
    3.1 Introduction
    3.2 Intelligent Reflecting Surfaces
    3.3 Non‐terrestrial Networks
    3.4 Revamping Non‐terrestrial Networks Using Intelligent Reflecting Surfaces
    3.5 Conclusion
    References
4 Towards the Internet of MetaMaterial Things: Software Enablers for User‐Customizable Electromagnetic Wave Propagation
    4.1 Introduction
    4.2 Pre‐requisites and Related Work
    4.3 Networked meta‐materials and SDN workflows
    4.4 Application Programming Interface for Meta‐materials
    4.5 The Meta‐material Middleware
    4.6 Software Implementation and Evaluation
    4.7 Discussion: The Transformational Potential of the IoMMT and Future Directions
    4.8 Conclusion
    Acknowledgements
    References
    Notes
5 IRS Hardware Architectures
    5.1 Introduction
    5.2 Concept, Principle, and Composition of IRS
    5.3 Operation Mode of IRS
    5.4 Hardware Configuration of IRS
    5.5 Conclusions
    References
6 Practical Design Considerations for Reconfigurable Intelligent Surfaces
    6.1 Intelligent Reflecting Surface Architecture
    6.2 Physical Limitations of IRSs
    References
7 Channel Modelling in RIS‐Empowered Wireless Communications
    7.1 Introduction
    7.2 A General Perspective on RIS Channel Modelling
    7.3 Physical Channel Modelling for RIS‐Empowered Systems at mmWave Bands
    7.4 Physical Channel Modelling for RIS‐Empowered Systems at Sub‐6 GHz Bands
    7.5 SimRIS Channel Simulator
    7.6 Performance Analysis Using SimRIS Channel Simulator
    7.7 Summary
    Funding Acknowledgment
    References
8 Intelligent Reflecting Surfaces (IRS)‐Aided Cellular Networks and Deep Learning‐Based Design
    8.1 Introduction
    8.2 Contributions
    8.3 Literature Review
    8.4 System Model
    8.5 Problem Formulation
    8.6 Phase Shifts Optimization
    8.7 Numerical Results
    8.8 Conclusion
    References
    Note
9 Application and Future Direction of RIS
    9.1 Background
    9.2 Introduction
    9.3 RIS‐assisted High‐Frequency Communication
    9.4 RIS‐assisted RF Sensing and Imaging
    9.5 RIS‐assisted‐UAV Communication
    9.6 RIS‐assisted Wireless Power Transfer
    9.7 RIS‐assisted Indoor Localization
    9.8 Conclusion
    References
10 Distributed Multi‐IRS‐assisted 6G Wireless Networks: Channel Characterization and Performance Analysis
    10.1 Introduction
    10.2 System Model
    10.3 Channel Characterization and Performance Analysis
    10.4 Numerical Results and Discussions
    10.5 Conclusions
    References
11 RIS‐Assisted UAV Communications
    11.1 Introduction
    11.2 Background
    11.3 The Role of UAVs in the Future Mobile Networks and Their Unique Characteristics
    11.4 Challenges of UAV Communications
    11.5 RIS‐assisted UAV Communications: Integration Paradigms and Use Cases
    11.6 Preliminary Investigations
    11.7 Conclusions
    References
12 Optical Wireless Communications Using Intelligent Walls*
    12.1 Introduction
    12.2 Optical IRS: Background and Applications
    12.3 Case Study: High Performance IRS‐Aided Indoor LiFi
    12.4 Challenges and Research Directions
    References
    Note
13 Conclusion
Index
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