Autonomous Airborne Wireless Networks
- Length: 320 pages
- Edition: 1
- Language: English
- Publisher: Wiley-IEEE Press
- Publication Date: 2021-10-04
- ISBN-10: 1119751683
- ISBN-13: 9781119751687
- Sales Rank: #0 (See Top 100 Books)
Discover what lies beyond the bleeding-edge of autonomous airborne networks with this authoritative new resource
Autonomous Airborne Wireless Networks delivers an insightful exploration of recent advances in the theory and practice of using airborne wireless networks to provide emergency communications, coverage and capacity expansion, information dissemination, and more. The distinguished engineers and editors have selected resources that cover the fundamentals of airborne networks, including channel models, recent regulation developments, self-organized networking, AI-enabled flying networks, and notable applications in a variety of industries.
The book evaluates advances in the cutting-edge of unmanned aerial vehicle wireless network technology while offering readers new ideas on how airborne wireless networks can support various applications expected of future networks. The rapidly developing field is examined from a fresh perspective, one not just concerned with ideas of control, trajectory optimization, and navigation.
Autonomous Airborne Wireless Networks considers several potential use cases for the technology and demonstrates how it can be integrated with concepts from self-organized network technology and artificial intelligence to deliver results in those cases. Readers will also enjoy:
- A thorough discussion of distributed drone base station positioning for emergency cellular networks using reinforcement learning (AI-enabled trajectory optimization)
- An exploration of unmanned aerial vehicle-to-wearables (UAV2W) indoor radio propagation channel measurements and modelling
- An up-to-date treatment of energy minimization in UAV trajectory design for delay tolerant emergency communication
- Examinations of cache-enabled UAVs, 3D MIMO for airborne networks, and airborne networks for Internet of Things communications
Perfect for telecom engineers and industry professionals working on identifying practical and efficient concepts tailored to overcome challenges facing unmanned aerial vehicles providing wireless communications, Autonomous Airborne Wireless Networks also has a place on the bookshelves of stakeholders, regulators, and research agencies working on the latest developments in UAV communications.
Cover Title Page Copyright Contents Editor Biographies List of Contributors Chapter 1 Introduction Chapter 2 Channel Model for Airborne Networks 2.1 Introduction 2.2 UAV Classification 2.3 UAV‐Enabled Wireless Communication 2.4 Channel Modeling in UAV Communications 2.4.1 Background 2.4.1.1 Path Loss and Large‐Scale Fading 2.4.1.2 Small‐Scale Fading 2.4.1.3 Airframe Shadowing 2.5 Key Research Challenges of UAV‐Enabled Wireless Network 2.5.1 Optimal Deployment of UAVs 2.5.2 UAV Trajectory Optimization 2.5.3 Energy Efficiency and Resource Management 2.6 Conclusion Bibliography Chapter 3 Ultra‐wideband Channel Measurements and Modeling for Unmanned Aerial Vehicle‐to‐Wearables (UAV2W) Systems 3.1 Introduction 3.2 Measurement Settings 3.3 UWB‐UAV2W Radio Channel Characterization 3.3.1 Path Loss Analysis 3.3.2 Time Dispersion Analysis 3.3.3 Path Loss Analysis for Different Postures 3.3.4 Time Dispersion Analysis for Different Postures 3.4 Statistical Analysis 3.5 Conclusion Bibliography Chapter 4 A Cooperative Multiagent Approach for Optimal Drone Deployment Using Reinforcement Learning 4.1 Introduction 4.2 System Model 4.2.1 Urban Model 4.2.2 Communications Model 4.3 Reinforcement Learning Solution 4.3.1 Fully Cooperative Markov Games 4.3.2 Decentralized Q‐Learning 4.3.3 Selection of Actions 4.3.4 Metrics 4.4 Representative Simulation Results 4.4.1 Simulation Scenarios 4.4.2 Environment 4.4.3 User Distribution 4.4.4 Simulation 4.4.5 Numerical Results 4.4.5.1 Single Frequency 4.4.5.2 Three Frequencies 4.4.5.3 Six Frequencies 4.5 Conclusions and Future Work 4.5.1 Conclusions 4.5.2 Future Work Acknowledgments Bibliography Chapter 5 SWIPT‐PS Enabled Cache‐Aided Self‐Energized UAV for Cooperative Communication 5.1 Introduction 5.2 System Model 5.2.1 Air‐to‐Ground Channel Model 5.2.2 Signal Structure 5.2.3 Caching Mechanism at the UAV 5.3 Optimization Problem Formulation 5.3.1 Maximization of the Achievable Information Rate at the User 5.3.2 Trajectory Optimization with Fixed Time and Energy Scheduling 5.4 Numerical Simulation Results 5.5 Conclusion Acknowledgments Appendix 5.A Proof of Optimal Solutions Obtained in (P1) Bibliography Chapter 6 Performance of mmWave UAV‐Assisted 5G Hybrid Heterogeneous Networks 6.1 The Significance of UAV Deployment 6.2 Contribution 6.3 The Potential of mmWave and THz Communication 6.4 Challenges and Applications 6.4.1 Challenges 6.4.1.1 Complex Hardware Design 6.4.1.2 Imperfection in Channel State Information 6.4.1.3 High Mobility 6.4.1.4 Beam Misalignment 6.4.2 Applications 6.5 Fronthaul Connectivity using UAVs 6.5.1 Distribution of SCBs 6.5.2 Placement of UAVs 6.6 Communication Model 6.6.1 Communication Constraints and Objective 6.7 Association of SCBs with UAVs 6.8 Results and Discussions 6.8.1 Analysis of Results 6.9 Conclusion Bibliography Chapter 7 UAV‐Enabled Cooperative Jamming for Physical Layer Security in Cognitive Radio Network 7.1 Introduction 7.2 System Model 7.2.1 Signal Model 7.2.2 Optimization Problem Formulation 7.3 Proposed Algorithm 7.3.1 Tractable Formulation for the Optimization Problem P2 7.3.1.1 Tractable Formulation for RS[n] 7.3.1.2 Tractable Formulation for RE[n] 7.3.1.3 Tractable Formulation for Constraint (7.10i) 7.3.1.4 Safe Optimization Problem 7.3.2 Proposed IA‐Based Algorithm 7.4 Numerical Results 7.5 Conclusion Bibliography Chapter 8 IRS‐Assisted Localization for Airborne Mobile Networks 8.1 Introduction 8.1.1 Related Work 8.1.2 Unmanned Aerial Vehicles 8.1.3 Intelligent Reflecting Surface 8.2 Intelligent Reflecting Surfaces in Airborne Networks 8.2.1 Aerial Networks with Integrated IRS 8.2.1.1 Integration of IRS in High‐Altitude Platform Stations (HAPSs) for Remote Areas Support 8.2.1.2 Integration of IRS in UAVs for Terrestrial Networks Support 8.2.1.3 Integration of IRS with Tethered Balloons for Terrestrial/Aerial Users Support 8.2.2 IRS‐Assisted Aerial Networks 8.3 Localization Using IRS 8.3.1 IRS Localization with Single Small Cell (SSC) 8.3.1.1 IRS Localization Using RSS with an SSC 8.4 Research Challenges 8.4.1 Challenges in UAV‐Based Airborne Mobile Networks 8.4.2 Challenges in IRS‐Based Localization 8.5 Summary and Conclusion Bibliography Chapter 9 Performance Analysis of UAV‐Enabled Disaster Recovery Networks 9.1 Introduction 9.2 UAV Networks 9.2.1 UAV System's Architecture 9.2.1.1 Single UAV Systems 9.2.1.2 Multi‐UAV Systems 9.2.1.3 Cooperative Multi‐UAVs 9.2.1.4 Multilayer UAV Networks 9.3 Benefits of UAV Networks 9.4 Design Consideration of UAV Networks 9.5 New Technology and Infrastructure Trends 9.5.1 Network Function Virtualization (NFV) 9.5.2 Software‐Defined Networks (SDNs) 9.5.3 Cloud Computing 9.5.4 Image Processing 9.5.5 Millimeter Wave Communication 9.5.6 Artificial Intelligence 9.5.7 Machine Learning 9.5.8 Optimization and Game Theory 9.6 Research Trends 9.7 Future Insights 9.8 Conclusion Bibliography Chapter 10 Network‐Assisted Unmanned Aerial Vehicle Communication for Smart Monitoring of Lockdown 10.1 Introduction 10.1.1 Relevant Literature 10.2 UAVs as Aerial Base Stations 10.2.1 Simulation Setting 10.2.2 Optimal Number of ABSs for Cellular Coverage in a Geographical Area 10.2.3 Performance Evaluation 10.2.3.1 Variation of Number of ABSs with ABS Altitude 10.2.3.2 Variation of Number of ABS with ABS Transmission Power 10.2.3.3 Variation of Number of ABSs with Geographical Area 10.3 UAV as Relays for Terrestrial Communication 10.3.1 5G Air Interface 10.3.2 Simulation Setup 10.4 Conclusion Bibliography Chapter 11 Unmanned Aerial Vehicles for Agriculture: an Overview of IoT‐Based Scenarios 11.1 Introduction 11.2 The Perspective of Research Projects 11.3 IoT Scenarios in Agriculture 11.3.1 Use of Data and Data Ownership 11.4 Wireless Communication Protocols 11.5 Multi‐access Edge Computing and 5G Networks 11.6 Conclusion Bibliography Chapter 12 Airborne Systems and Underwater Monitoring 12.1 Introduction 12.2 Automated Image Labeling 12.2.1 Point Selection 12.2.2 Measurement System 12.2.3 Region Labeling 12.2.4 Testing 12.2.4.1 Measurement System Testing 12.2.4.2 Point Selection Simulations 12.2.4.3 Field Experiments 12.3 Water/Land Visual Differentiation 12.3.1 Classifier Training 12.3.2 Online Algorithm 12.3.3 Mapping 12.3.4 Transmit 12.3.5 Field Experiments 12.3.5.1 Calibration 12.3.5.2 Simulation 12.3.5.3 Overall 12.4 Offline Bathymetric Mapping 12.4.1 Algorithm Overview 12.4.2 Algorithm Simulation 12.4.3 Algorithm Implementation 12.4.4 Bathymetric Measurement System 12.5 Online Bathymetric Mapping 12.5.1 Point Selection Algorithms 12.5.1.1 Monotone Chain Hull Algorithm 12.5.1.2 Incremental Hull Algorithm 12.5.1.3 Quick Hull Algorithm 12.5.1.4 Gift Wrap Algorithm 12.5.1.5 Slope‐Based Algorithm 12.5.1.6 Combination (Slope‐Based and Probability) Algorithm 12.5.2 Simulation Setup 12.5.3 Results and Analysis 12.5.3.1 Spline 12.5.3.2 IDW 12.5.3.3 Overall Summary 12.6 Conclusion and Future Work Bibliography Chapter 13 Demystifying Futuristic Satellite Networks: Requirements, Security Threats, and Issues 13.1 Introduction 13.2 Inter‐Satellite and Deep Space Network 13.2.1 Tier‐1 of Satellite Networks 13.2.2 Tier‐2 of Satellite Networks 13.2.3 Tier‐3 of Satellite Networks 13.3 Security Requirements and Challenges in ISDSN 13.3.1 Security Challenges 13.3.1.1 Key Management 13.3.1.2 Secure Routing 13.3.2 Security Threats 13.3.2.1 Denial of Service Attack 13.3.2.2 Data Tampering 13.4 Conclusion Bibliography Chapter 14 Conclusion 14.1 Future Hot Topics 14.1.1 Terahertz Communications 14.1.2 3D MIMO for Airborne Networks 14.1.3 Cache‐Enabled Airborne Networks 14.1.4 Blockchain‐Enabled Airborne Wireless Networks 14.2 Concluding Remarks Index EULA
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