Human-Centric Integration of 6G-Enabled Technologies for Modern Society : Fundamentals, Applications, Analysis and Challenges / edited by Amit Kumar Tyagi and Shrikant Tiwari.

Format:

Book

Contributor:

Tyagi, Amit Kumar, editor.

Tiwari, Shrikant, editor.

Language:

English

Subjects (All):

6G mobile communication systems.

Physical Description:

1 online resource (678 pages)

Edition:

First edition.

Place of Publication:

London, England : Elsevier, [2025]

Summary:

Human-Centric Integration of 6G-Enabled Technologies for Modern Society: Fundamentals, Applications, Analysis and Challenges serves as a comprehensive reference, addressing the information needs of professionals by providing deep information about the fundamentals and applications of 6G, enabling them to make informed decisions in the dynamic.

Contents:

Front Cover

Human-Centric Integration of 6G-Enabled Technologies for Modern Society

Copyright

Contents

List of contributors

Preface

1 Introduction to 6G technology

1.1 Introduction

1.1.1 Which demands

1.2 Technological advancements that will impact networks in the future

1.2.1 The development of radio-access network architecture over time

1.2.2 Concept of migration and spectrum aggregation

1.2.3 Progression of core network architecture

1.3 Assumptions of 6G technology

1.4 The 6G radio-access network is an emerging independent radio-access technology

1.5 To accommodate 5G core in 6G radio-access network and novel applications

1.6 The evolution of wireless technology

1.7 6G enabling technologies

1.7.1 Collaborative communication and sensing

1.7.2 Sub-THz is a term used to describe frequencies that are below the terahertz range

1.7.3 Multiple-input multiple-output technology

1.7.4 Artificial intelligence and machine learning

1.8 Challenges of 6G technology

1.9 Opportunities or possibilities of 6G technology

1.10 Benefits of 6G versus 5G technology

1.11 Need of sixth generation technology

1.12 Applications of 6G technology

1.12.1 Telecommunications

1.12.2 Self-driving vehicles

1.12.3 Internet of Things

1.12.4 Extended reality

1.13 Research on 6G technology

1.14 Future scope of 6G networks

1.15 Conclusion

References

2 Evolution of wireless communication

2.1 Introduction

2.1.1 What is wireless communication?

2.1.2 Components of remote communication systems

2.1.3 Era of wireless communication

2.1.4 Definitions for mobile communication

2.1.5 Electromagnetic spectrum for telecommunication

2.1.6 Multiple access techniques

2.1.6.1 Frequency-division multiple access

2.1.6.2 Time-division multiple access.

2.1.6.3 Code-division multiple access

2.1.7 Evolution of zero generation

2.1.8 Overall capacity is very less

2.1.8.1 Evolution from 1G to 7G

2.1.8.1.1 First generation

2.1.8.2 Second generation

2.1.8.3 2.5G (second generation)

2.1.8.4 Third generation

2.1.8.5 Fourth generation

2.1.8.6 Fifth generation

2.1.8.6.1 Adoption of 5G

2.1.8.6.2 Prediction of 5G usage as of November 2023

2.1.8.6.3 Region-wise growth of 5G as of November 2023

2.1.8.6.4 5G usage scenarios

2.1.8.6.5 5G use cases

2.1.8.7 Sixth generation

2.1.8.7.1 Six pillars of 6G vision

2.1.8.7.2 6G prospects

2.1.8.7.3 6G Capabilities

2.1.8.7.4 6G use cases

2.1.8.8 Seventh generation

2.2 Conclusion

3 Fundamentals of 6G networks

3.1 Introduction

3.1.1 Full coverage connectivity

3.1.2 Connected intelligent network

3.1.3 Sustainable development

3.1.4 Interconnected terrestrial and nonterrestrial networks

3.1.5 Aritificial intelligence and machine learning collaboration in 6G

3.1.6 Trustworthiness

3.2 Evolution of 6G from 5G

3.3 Key performance indicators in comparison with 5G

3.4 Enabling technologies

3.4.1 Terahertz communication

3.4.2 Massive MIMO

3.4.3 Ultra-massive MIMO systems

3.4.4 E-MIMO technology

3.4.5 Dense multiple-radio access technology

3.4.6 Internet of Everything

3.4.7 Multiaccess edge computing

3.4.8 Artificial intelligence

3.4.9 Flexible spectrum sharing

3.4.10 Multicarrier techniques

3.4.11 Reconfigurable intelligent surfaces

3.4.12 Blockchain technology

3.4.13 Quantum communication

3.5 6G use cases and necessary technologies

3.5.1 Digital twins

3.5.2 Autonomous transportation

3.5.3 New smart city

3.5.4 XR is based on holographic communication

3.5.5 E-Health

3.5.6 Cyber robots and autonomous systems.

3.5.7 Space, air and extreme ground connectivity

3.6 Challenges of 6G network

3.6.1 Network Architecture and Integration

3.6.2 Limited spectrum

3.6.3 Hardware limitations

3.6.4 Standardization and interoperability

3.6.5 Data privacy and integrity

3.6.6 Energy efficiency

3.6.7 Heterogeneous networks

3.6.8 Economic prospect

3.7 Research opportunities of 6G network

3.8 Conclusion

4 Millimeter wave and terahertz communication

4.1 Introduction

4.1.1 A brief overview of the mmWave and THz communication

4.1.2 THz transmission waves

4.1.3 Aerials in the THz range and beamforming

4.1.4 Innovation in technology devices

4.2 6G transmission models

4.2.1 A transmission mechanism based on Beer-Lambert

4.2.2 Loss of signal strength at open space

4.2.3 Distortion caused by gases in the atmosphere

4.2.4 Impact of drizzle and blizzard

4.2.5 Data loss due to haze and cloud

4.2.6 Dispersion on Earth

4.2.7 Methods for transmission

4.3 Multiple-input multiple-output technology

4.3.1 Signal characteristics at THz frequencies

4.3.2 Measurements and modeling of channels at THz bands

4.3.3 Techniques for 6G hybrid beamforming and ultra-massive multiple input multiple output

4.3.4 D-multiple input multiple output

4.3.5 Massive multiple input multiple output without cells

4.4 Power suitability

4.4.1 Machine learning to increase the spectral efficiency of 6G

4.4.2 Instead of avoiding hardware defects, neural networks will tolerate them

4.4.3 Better 6G protocols can be learned by artificial intelligence

4.5 Integrated sensing

4.6 Industry insights

4.6.1 Top five industries that 6G is transforming

4.7 Conclusion

5 Advanced antenna technologies in 6G

5.1 Introduction

5.1.1 Changing antenna spectrum.

5.1.2 Improving antenna efficiency with new substances and metamaterials

5.1.3 Changes in the antenna transmission pathway

5.1.4 Major antenna assessment developments

5.2 Massive multiple input multiple output

5.2.1 Central coordinator

5.2.2 Array pattern of the antenna

5.2.3 Mobile device

5.2.4 Channel-oriented traits

5.3 Beamforming

5.4 Diversity techniques

5.4.1 Types of diversities

5.4.2 Diversity combining techniques

5.5 Terahertz antennas

5.5.1 Types of terahertz antennas

5.5.2 Materials and fabrication

5.5.3 Process technology of terahertz antennas

5.5.4 Applications

5.6 Intelligent reflecting surface for the antenna-based wireless communication

5.7 Artificial intelligence for the antenna-based wireless communication

5.8 Nonterrestrial network-based antenna for wireless communication

5.8.1 Advantages of nonterrestrial networks

5.8.2 Trends in nonterrestrial networks

5.9 Conclusion

6 Digital twin for blockchain-enabled intelligent transportation systems in smart cities

6.1 Introduction to digital twin, blockchain-enabled intelligent transportation systems and smart cities

6.1.1 Objectives of digital twin in intelligent transportation systems

6.1.2 Need for smart cities today

6.1.3 Organization of the work

6.2 Smart cities and intelligent transportation systems: definition and characteristics

6.2.1 Characteristics of smart cities

6.2.2 Intelligent transportation systems: definition and characteristics

6.2.3 Role of intelligent transportation system in smart city infrastructure

6.2.4 Issue and challenges in urban transportation

6.3 Digital twin technology in transportation: concept and principles, and applications

6.3.1 Principles

6.3.2 Applications of digital twin technology in transportation.

6.3.3 Advantages and challenges of digital twin technology in transportation

6.3.3.1 Advantages of digital twin technology in transportation

6.3.3.2 Challenges of digital twin technology in transportation

6.4 Blockchain technology in intelligent transportation system: introduction, key features and components and applications

6.4.1 Applications of blockchain in intelligent transportation systems

6.4.2 Benefits and risks associated using blockchain technology in intelligent transportation system

6.4.2.1 Risks and challenges associated with using blockchain technology in intelligent transportation system

6.5 Integration of digital twin consensus and blockchain in transportation in this modern era

6.5.1 Achieving consensus in digital twins for transportation sector

6.6 Smart contracts for transportation operations: pros and cons

6.6.1 Ensuring consistency and reliability using smart contract in real world's applications

6.7 Issues and challenges toward using digital twin in blockchain based its for smart cities

6.8 Future possible innovations toward using digital twin in blockchain-based intelligent transportation system for smart cities

6.9 Conclusion

7 Enhancing earthquake detection: integrating ultra-reliable low-latency communication with distributed acoustic sensor networks

7.1 Introduction

7.1.1 Role of ultra-reliable low-latency communication in earthquake early warning systems

7.2 Ultra-reliable low-latency communication

7.3 Das for earthquake detection

7.4 Enablers of ultra-reliable low-latency communication

7.5 Sparse vector coding for distributed acoustic sensor information transmission

7.6 Performance analysis of sparse vector coding with distributed acoustic sensor data

7.7 Conclusion

References.

8 Authenticated integration of data science and IoT with Blockchain in IIoT environment.

Notes:

Includes bibliographical references and index.

Description based on publisher supplied metadata and other sources.

Description based on print version record.

ISBN:

0-443-27435-5

0-443-27434-7

OCLC:

1519126205