How 5G technology can support the demands of multiple vertical industries Recent advances in technologyhave created new vertical industries that are highly dependent on the availability and reliability of data between multiple locations. The 5G system, unlike previous generations, will be entirely data driven-addressing latency, resilience, connection density, coverage area, and other vertical industry criteria. Enabling 5G Communication Systems to Support Vertical Industries demonstrates how 5G communication systems can meet the needs unique to vertical industries for efficient, cost-effective delivery of service. Covering both theory and practice, this book explores solutions to problems in specific industrial sectors including smart transportation, smart agriculture, smart grid, environmental monitoring, and disaster management.
The 5G communication system will have to provide customized solutions to accommodate each vertical industry's specific requirements. Whether an industry practitioner designingthe next generation of wireless communications or a researcher needing to identify open issues and classify their research, this timely book:
Covers the much-discussed topics of supporting multiple vertical industries and new ICT challenges Addresses emerging issues and real-world problems surrounding 5G technology in wireless communication and networking Explores a comprehensive array of essential topics such as connected health, smart transport, smart manufacturing, and more Presents important topics in a clear, concise style suitable for new learners and professionals alike Includes contributions from experts and industry leaders, system diagrams, charts, tables, and examples Enabling 5G Communication Systems to Support Vertical Industries is a valuable resource telecom engineers industry professionals, researchers, professors, doctorate, and postgraduate students requiring up-to-date information on supporting vertical industries with 5G technology systems.
Muhammad A. Imran
, Yusuf Abdulrahman Sambo
, Qammer H. Abbasi
Country of Publication:
Series: Wiley - IEEE
16 August 2019
Professional and scholarly
Preface 1 Enabling the verticals of 5G: Network Architecture, Design and Service Optimisation 1.1 Introduction 1.2 Use cases 1.3 5G Network Architecture 1.4 RAN functional decomposition 1.5 Designing a 5G network 1.6 Network latency 1.7 5G network architecture design 1.8 Summary 1.9 Acknowledgements References 2 Industrial Wireless Sensor Networks for 5G connected industries 2.1 Overview 2.2 Industrial Wireless Sensor Networks 2.2.1 Wired and Wireless Networks in Industrial Environment 2.2.2 Transformation of WSNs for Industrial Applications 2.2.3 IWSN Architecture 2.3 Industrial Traffic Types and its Critical Nature 2.3.1 Safety/Emergency Traffic 2.3.2 Critical Control Traffic 2.3.3 Low-risk Control Traffic 2.3.4 Periodic Monitoring Traffic 2.3.5 Critical nature and time deadlines 2.4 Existing works and standards 2.4.1 Wireless Technologies 2.4.2 Industry related IEEE Standards 2.5 Ultra Reliable Low Latency Communications (URLLC) in IWSNS 2.6 Summary References 3 Haptic Networking Supporting Vertical Industries Acknowledgments 3.1 Tactile Internet use cases and requirements 3.1.1 Quality of Service 3.1.2 Use cases and requirements 3.2 Teleoperation Systems 3.2.1 Classiffication of teleoperation systems 3.2.2 Haptic Control and Data Reduction 3.2.3 Combining control schemes and data reduction 4 5G-Enhanced Smart Grid Services 4.1 Introduction 4.2 Smart Grid Services and Communication Requirements 4.2.1 Smart Grid Fundamentals 4.2.2 Communication Requirements for Smart Grid Services 4.3 Smart Grid Services Supported by 5G Networks 4.3.1 Data Collection and Management Services 4.3.2 Operation Decision-Making Services 4.4 Summary and Future Research Acknowledgment Bibliography 5 Evolution of vehicular communications within the context of 5G systems 5.1 Introduction 5.2 Vehicular Connectivity 5.2.1 Cellular V2X 5.2.2 Dedicated Short Range Communication (DSRC) 5.2.3 Advanced technologies 5.3 Data Dissemination 5.3.1 Context-aware Middleware 5.3.2 Heterogeneity and Interoperability 5.3.3 Higher Layer Communication Protocols 5.4 Towards Connected Autonomous Driving 5.4.1 Phase 1 - Awareness Driving Applications 5.4.2 Phase 2 - Collective Perception 5.4.3 Phase 3/4 - Trajectory/Maneuver Sharing 5.4.4 Phase 5 - Full Autonomy 5.5 Conclusions References 6 State of the Art of Sparse Code Multiple Access for Connected Autonomous Vehicle Application 6.1 Introduction 6.2 Sparse Code Multiple Access 6.3 State-of-the-art 6.3.1 Codebook design 6.3.2 Decoding/Detecting techniques for SCMA 6.3.3 Other research on performance evaluation of SCMA 6.4 Conclusions and future work 7 5G Communication Systems and Connected Healthcare 7.1 Introduction 7.2 Use cases and technical requirements 7.2.1 Wireless Tele Surgery 7.2.2 Wireless Service Robots 7.3 5G communication system 7.3.1 3GPP technology roadmap 7.3.2 5G spectrum 7.3.3 5G reference architecture 7.3.4 5G Security aspects 7.3.5 5G Enabling technologies 7.3.6 5G deployment scenarios 7.4 Value chain, business model and business case calculation 7.4.1 Market uptake for robotic platforms 7.4.2 Business Model and Value Chain 7.4.3 Business case for service provides 7.5 Conclusions References 8 5G: Disruption in Media and Entertainment 8.1. Multichannel Wireless Audio Systems for Live Production 8.2. Video 8.2.1. Video compression algorithms 8.2.2. Streaming protocols 8.2.3. Video streaming over mobile networks 8.3. Immersive media 8.3.1. Virtual reality (VR) 8.3.2. Augmented reality (AR) 8.3.3. 360-degree video 8.3.4. Immersive media streaming 9 Towards realistic modeling of drone based cellular network coverage 9.1. Overview of existing models for drone based cellular network coverage 9.2. Key objectives and organization of this chapter 9.3. Motivation 9.4. System Model 9.5. UAV Coverage Model Development 9.5.1. Coverage Probability 9.5.2. Received Signal Strength 9.6. Trade-os between coverage radius, beamwidth and height 9.6.1. Coverage Radius versus Beamwidth 9.6.2. Coverage Radius versus Height 9.6.3. Height versus Beamwidth 9.7. Impact of altitude, beamwidth and radius on RSS 9.8. Analysis for different frequencies and environments 9.9. Comparison of altitude and beamwidth to control coverage 9.10. Coverage probability with varying tilt angles and asymmetric beamwidths 9.11. Coverage Analysis with Multiple UAVs 9.12. Conclusion Acknowledgment Bibliography Appendix A 10 Intelligent Positioning of UAVs for Future Cellular Networks 10.1 Introduction 10.2 Applications of UAVs in Cellular Networks 10.2.1 Coverage in Rural Areas 10.2.2 Communication for Internet of Things 10.2.3 Flying Fronthaul/Backhaul 10.2.4 Aerial Edge Caching 10.2.5 Pop-up Networks 10.2.6 Emergency Communication Networks 10.3 Strategies for Positioning UAVs in Cellular Network 10.4 Reinforcement Learning 10.4.1 Q-learning 10.5 Simulations 10.5.1 Urban Model 10.5.2 The UAVs 10.5.3 Path Loss 10.5.4 Simulation Scenario 10.5.5 Proposed RL Implementation 10.6 Conclusion Bibliography 11 Integrating Public Safety Networks to 5G: Applications and Standards 11.1 Introduction 11.2 Public Safety Scenarios 11.2.1 Incoverage 11.2.2 Out of coverage 11.3 Standardization Efforts 11.3.1 3rd Generation Partnership Project 11.3.2 Open Mobile Alliance 11.3.3 Alliance for Telecommunication Industry Solutions 11.3.4 APCO Global Alliance 11.3.5 Groupe Speciale Mobile Association (GSMA) 11.4 Future Challenges and Enabling Technologies 11.4.1 Future Challenges 11.4.2 Enabling Technologies 11.5 Conclusion 12 Future Perspectives 12.1 Enabling Rural Connectivity 12.2 Key Technologies for the Design of Beyond 5G Networks 12.3 Terahertz Communication 12.4 LiFi 12.5 Wireless Power Transfer and Energy Harvesting
MUHAMMAD ALI IMRAN is the Vice Dean of Glasgow College UESTC and Professor of Communication Systems in the School of Engineering at the University of Glasgow, UK. He is a senior member of IEEE, a Fellow of IET, and a Senior Fellow of the Higher Education Academy, UK. YUSUF ABDULRAHMAN SAMBO is a Research Associate in the School of Engineering at the University of Glasgow, UK. He is also the University of Glasgow 5G Self-Organised Network (5GSON) testbed lead. Dr. Sambo is an IEEE member. QAMMER H. ABBASI is an Assistant Professor in the School of Engineering at the University of Glasgow, UK, and Visiting Assistant Professor with Queen Mary University of London, UK. Dr. Abbasi is an IEEE senior member and URSI Young Scientist Award winner. He is Associate editor for the IEEE Journal of Electromagnetics, RF, and Microwaves in Medicine and Biology, IEEE Access and the Journal of Applied Electromagnetics.