Intro
Preface
Contents
Acronyms
1 Introduction of Flying Ad Hoc Networks
1.1 Basic Classification and Regulation of UAVs
1.2 Differences Between FANET, VANET, MANET, and AANET
1.3 Compelling Applications of FANET
References
2 Communication Channels in FANET
2.1 UAV Communication Channel Characteristics
2.1.1 UAV Link Budget
2.1.2 UAV Channel Fading
2.1.3 Channel Impulse Response and Metrics
2.2 UAV Communication Channel Modeling
2.2.1 Air-to-Ground Channels
2.2.1.1 A2G Channels in Urban Areas
2.2.1.2 Low-Altitude Channels in Cellular Networks

2.2.1.3 A2G Channels in Rural and Over-Water Areas
2.2.1.4 Evaporation Duct for Over Sea
2.2.1.5 Aircraft Shadowing in A2G Channels
2.2.2 Air-to-Air Channels
2.2.3 UAV-MIMO Channels
2.2.3.1 UAV-MIMO Channel Modeling
2.2.3.2 Antenna Diversity
2.2.3.3 Spatial Multiplexing
2.3 Challenges and Open Issues
2.3.1 Antennas for UAV Channel Measurement
2.3.2 Channels of UAV Applications in IoT and 5G
2.3.3 Channels in Vertical Industrial Applications
2.3.4 Channels of UAV FSO Communications
References
3 Seamless Coverage Strategies of FANET

3.1 Introduction of Seamless Coverage Problems
3.1.1 Problem Domain and Challenges
3.1.2 State of the Art
3.2 UAV Seamless Coverage Strategy for Dense Urban Areas
3.2.1 System Model
3.2.2 Cyclic Recharging and Reshuffling Optimization
3.2.2.1 UAV Power Model
3.2.2.2 CRRS Constraint
3.2.3 Problem Formulation
3.2.4 Distributed Particle Swarm Optimization Aided Solution
3.2.4.1 Analysis and Simplification
3.2.4.2 Distributed-PSO Algorithm Design
3.2.4.3 Algorithmic Convergence Analysis
3.2.4.4 Algorithmic Complexity Analysis
3.2.5 Simulation Results

3.2.6 Conclusions
3.3 UAV Seamless Coverage Strategy for QoS-Guaranteed IoT
3.3.1 System Model
3.3.2 Problem Formulation
3.3.3 Block Coordinate Descent Based Joint Optimization
3.3.3.1 Node Assignment Scheduling
3.3.3.2 UAV Trajectory Planning
3.3.3.3 UAV Transmit Power Control
3.3.3.4 Algorithmic Architecture and Convergence Analysis
3.3.4 Simulation Results
3.3.4.1 Resulting Strategies
3.3.4.2 Energy Efficiency
3.3.4.3 Optimality Analysis
3.3.5 Conclusions
3.4 UAV Seamless Coverage Strategy for Minimum-Delay Placement
3.4.1 System Model

3.4.1.1 Physical Layer Model of the UAV-Enabled Network
3.4.1.2 Queuing Model and System Dynamics
3.4.1.3 ABS Placement Scheduling
3.4.2 Problem Formulation
3.4.3 Markov Decision Process Transformation
3.4.3.1 Constrained Markov Decision Process
3.4.3.2 The Lagrangian Approach
3.4.4 Backward Induction and R-Learning Based Optimization
3.4.4.1 Solution to the Problem in Case 1
3.4.4.2 Solution to the Problem in Case 2
3.4.4.3 Solution to the Problem in Case 3
3.4.4.4 Analysis of Computational Complexity
3.4.5 Simulation Results