| Abstract | 第5-6页 |
| 摘要 | 第8-13页 |
| Abbreviations | 第13-17页 |
| Chapter 1 Introduction | 第17-27页 |
| 1.1 Background of Wireless Communication with Unmanned Aerial Vehicles | 第17-22页 |
| 1.1.1 Unmanned Aerial Base Stations | 第18-20页 |
| 1.1.2 Advantages of Unmanned Aerial Small Cell Networks over Terres-trial Base Stations | 第20-21页 |
| 1.1.3 Mobile Networks Connected UAVs | 第21-22页 |
| 1.2 Challenges Facing Wireless Communications with UAVs | 第22-23页 |
| 1.3 Proposed Solution | 第23-25页 |
| 1.4 Main Contributions and Thesis Organization | 第25-27页 |
| Chapter 2 Preliminaries, Background, and Literature Review | 第27-47页 |
| 2.1 Game Theory | 第27-30页 |
| 2.1.1 Fundamentals of Game Theory | 第27-28页 |
| 2.1.2 Game Theory in UAV-assisted Networks | 第28-30页 |
| 2.2 Bargaining Games | 第30-31页 |
| 2.2.1 The Nash Bargaining Solution | 第30-31页 |
| 2.3 Mean Field Game | 第31-37页 |
| 2.3.1 Background of Mean field game | 第32-34页 |
| 2.3.2 Basics of Mean Field Games | 第34-35页 |
| 2.3.3 Mean Field | 第35页 |
| 2.3.4 HJB and FPK equations | 第35-37页 |
| 2.3.5 Shortcomings and Limitations of MFGs | 第37页 |
| 2.4 Literature Review | 第37-39页 |
| 2.5 General Resource and Interference Management Schemes | 第39-40页 |
| 2.6 Game Theoretic Approaches for Resource and Interference Management | 第40-45页 |
| 2.6.1 Traditional Game Theoretic Approaches for Resource and Interfer-ence Management | 第41-43页 |
| 2.6.2 MFG for Resource and Interference Management | 第43-45页 |
| 2.7 Chapter Summary | 第45-47页 |
| Chapter 3 Energy Efficiency Optimization for Wireless Sparse Unmanned Aerial Ve-hicles Communication Networks: A Bargaining Game Approach | 第47-59页 |
| 3.1 System Description | 第47-50页 |
| 3.2 Game Formulation Cooperative Strategy based on NBS | 第50-54页 |
| 3.2.1 Utility Function | 第50-51页 |
| 3.2.2 Bargaining Games | 第51-52页 |
| 3.2.3 The Nash Bargaining Solution | 第52-54页 |
| 3.3 Simulation Results and Discussions | 第54-57页 |
| 3.4 Chapter Summary | 第57-59页 |
| Chapter 4 Interference and Resource Management for Cellular-enabled UnmannedAerial Vehicles: A Mean Field Game Approach | 第59-75页 |
| 4.1 System Model Description | 第59-61页 |
| 4.1.1 Network Propagation Model | 第59-61页 |
| 4.1.2 Interference Interaction Model | 第61页 |
| 4.1.3 Interference Mean Field | 第61页 |
| 4.2 Differential Game Formulation | 第61-64页 |
| 4.2.1 State Space Dynamics | 第62-63页 |
| 4.2.2 Cost Function of a UAV | 第63-64页 |
| 4.2.3 Optimal Control Problem | 第64页 |
| 4.3 Interference Mitigation Mean Field Game | 第64-66页 |
| 4.3.1 Mean Field and Mean Field Approximation | 第65页 |
| 4.3.2 Backward equation | 第65页 |
| 4.3.3 Forward equation | 第65-66页 |
| 4.4 Distributed Policy Based on the Finite Difference Method | 第66-69页 |
| 4.4.1 Solution to the Forward Equation | 第66-67页 |
| 4.4.2 Solution to the Backward Equation | 第67-68页 |
| 4.4.3 Distributed Control Policy | 第68-69页 |
| 4.5 Results and Discussion | 第69-73页 |
| 4.5.1 Characteristics of Mean Field at Mean Field Equilibrium | 第70-71页 |
| 4.5.2 Performance Metrics | 第71-72页 |
| 4.5.3 Performance Results | 第72-73页 |
| 4.6 Conclusion | 第73-75页 |
| Chapter 5 Interference and Energy Management for Dense Aerial Access Networks:A Mean Field Game Approach | 第75-97页 |
| 5.1 System Model Description | 第75-77页 |
| 5.2 Differential Game Formulation | 第77-79页 |
| 5.2.1 State Space | 第77-78页 |
| 5.2.2 Cost Function for a Generic AAN | 第78页 |
| 5.2.3 Optimal Control Problem | 第78-79页 |
| 5.3 Mean Field Game for Power and Velocity Control | 第79-83页 |
| 5.3.1 Mean Field and Mean Field Approximation | 第79-81页 |
| 5.3.2 Hamilton-Jacobi-Bellman Equation | 第81-82页 |
| 5.3.3 Fokker-Planck-Kolmogorov Equation | 第82-83页 |
| 5.4 Mean Field Game Solution | 第83-86页 |
| 5.4.1 Mean Field Equilibrium | 第83页 |
| 5.4.2 Solution to the FPK equation | 第83页 |
| 5.4.3 Solution to the HJB equation | 第83-86页 |
| 5.4.4 Distributed Control Policy | 第86页 |
| 5.5 Numerical Results and Discussion | 第86-94页 |
| 5.5.1 Simulation Settings | 第86-88页 |
| 5.5.2 Characteristics of Mean Field at Equilibrium | 第88-91页 |
| 5.5.3 Performance Metrics | 第91-92页 |
| 5.5.4 Performance Results | 第92-94页 |
| 5.6 Chapter Summary | 第94-97页 |
| Chapter 6 Conclusions and Future Works | 第97-101页 |
| 6.1 Conclusions | 第97-98页 |
| 6.2 Future Research Directions | 第98-101页 |
| 6.2.1 Optimal Placement and Trajectory for Massive UAV-based Network | 第99页 |
| 6.2.2 Advanced Distributed Schemes for Interference Management | 第99-100页 |
| 6.2.3 Feasibility of UAVs in 5G networks | 第100-101页 |
| References | 第101-113页 |
| Acknowledgements | 第113-115页 |
| Publications | 第115-116页 |
