Autonomous Airborne Wireless Networks (IEEE Press)

✍ Scribed by Muhammad Ali Imran (editor), Oluwakayode Onireti (editor), Shuja Ansari (editor), Qammer H. Abbasi (editor)

• Publisher: Wiley-IEEE Press
• Year: 2021
• Tongue: English
• Leaves: 323
• Edition: 1
• Category: Library

✦ Synopsis

AUTONOMOUS AIRBORNE WIRELESS NETWORKS

Discover what lies beyond the bleeding-edge of autonomous airborne networks with this authoritative new resource

Autonomous Airborne Wireless Networks delivers an insightful exploration on 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.

✦ Table of Contents

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