| ABSTRACT | 第5-7页 |
| 摘要 | 第8-13页 |
| List of Symbols | 第13-15页 |
| List of Abbreviations | 第15-21页 |
| CHAPTER 1 INTRODUCTION | 第21-43页 |
| 1.1 Background | 第21-22页 |
| 1.2 Overview of Self-Organizing Networks | 第22-24页 |
| 1.3 Artificial Intelligence in Wireless Networks With Big Data | 第24-26页 |
| 1.4 Energy Harvesting in Wireless Networks | 第26-27页 |
| 1.5 SON-Aided Self-management and Resource Optimization in Wireless Networks | 第27-39页 |
| 1.5.1 Machine Learning aided Context-Aware Self-Healing Management for Ultra Dense Networks with QoS Provisions | 第27-30页 |
| 1.5.2 Multiple Time-Scale SON Function Coordination in Ultra-Dense Small Cell Networks | 第30-34页 |
| 1.5.3 Energy-aware Resource Allocation for OFDMA Wireless Networks with Hybrid Energy Supplies | 第34-35页 |
| 1.5.4 Self-sustaining Resource-on-Demand Strategy for Multi-RAT Wireless Networks Powered by Heterogeneous Energy Sources | 第35-39页 |
| 1.6 Contributions and Organization of the Thesis | 第39-43页 |
| CHAPTER 2 Machine Learning aided Context-Aware Self-Healing Management for Ultra Dense Networks with QoS Provisions | 第43-63页 |
| 2.1 System Model | 第43-45页 |
| 2.1.1 Comprehensive SH Architecture | 第43-44页 |
| 2.1.2 Network Model | 第44-45页 |
| 2.1.3 Channel Model | 第45页 |
| 2.2 The SCOD Scheme With Context Information of MDT Measurements | 第45-50页 |
| 2.2.1 Small Cell Outage Profiling and Triggering | 第46-48页 |
| 2.2.2 Small Cell Outage Detection and Localization | 第48-50页 |
| 2.3 Distributed Small Cell Self-Healing Scheme | 第50-57页 |
| 2.3.1 Problem Statement | 第51-56页 |
| 2.3.2 Complexity Analysis | 第56-57页 |
| 2.4 Simulation Results | 第57-61页 |
| 2.4.1 Simulation Setup | 第57页 |
| 2.4.2 Simulation Performance | 第57-61页 |
| 2.5 Summary | 第61-63页 |
| CHAPTER 3 Multiple Time-Scale SON Function Coordination in Ultra-Dense Small Cell Networks | 第63-81页 |
| 3.1 System Model | 第64-67页 |
| 3.1.1 Control Model | 第64-65页 |
| 3.1.2 SON Operation Model | 第65页 |
| 3.1.3 SON Performance Metric Model | 第65-67页 |
| 3.2 Multiple Time-Scales SON Coordination | 第67-69页 |
| 3.3 Solution of Multiple SON Coordinations | 第69-72页 |
| 3.4 Q-Learning based energy efficiency management with SON | 第72-76页 |
| 3.5 Simulation Results | 第76-80页 |
| 3.6 Conclusions | 第80-81页 |
| CHAPTER 4 Energy-Aware Resource Allocation for OFDMA Wireless Networks with Hybrid Energy Supplies | 第81-99页 |
| 4.1 System Model and Problem Formulation | 第81-85页 |
| 4.1.1 Network Architecture | 第81-82页 |
| 4.1.2 Energy Supply and Data Process Sub-Systems | 第82-84页 |
| 4.1.3 Problem Formulation | 第84-85页 |
| 4.2 Proposed EARA Algorithm | 第85-89页 |
| 4.2.1 Problem Analysis and Transformation | 第85-86页 |
| 4.2.2 The Solution to Problem P 52 | 第86-88页 |
| 4.2.3 Proposed EARA Algorithm | 第88-89页 |
| 4.3 Performance Analysis and Implementation Considerations of the EARA Algorithm | 第89-93页 |
| 4.3.1 Performance Analysis | 第89-91页 |
| 4.3.2 Implementation Architecture of the EARA Algorithm | 第91-93页 |
| 4.4 Simulation Results | 第93-97页 |
| 4.4.1 Simulation Model and Parameters | 第93页 |
| 4.4.2 Theoretical Results Verification | 第93-94页 |
| 4.4.3 Performance evaluation of the Proposed EARA Algorithm | 第94-97页 |
| 4.5 Summary | 第97-99页 |
| CHAPTER 5 Dynamic Resource-on-Demand Strategy for Multi-RAT Wireless Networks Powered by Heterogeneous Energy Sources | 第99-123页 |
| 5.1 System Model and Problem Formulation | 第100-105页 |
| 5.1.1 System Model | 第100-101页 |
| 5.1.2 Energy Supply Model | 第101-102页 |
| 5.1.3 Data Queue Model | 第102-103页 |
| 5.1.4 Problem Formulation | 第103-105页 |
| 5.2 Algorithm Design for Multi-RAT Resource Allocation | 第105-108页 |
| 5.2.1 Multi-RAT Flow Control | 第106-107页 |
| 5.2.2 Multi-RAT Energy Management | 第107-108页 |
| 5.2.3 Multi-RAT Resource Allocation | 第108页 |
| 5.3 Optimal Energy Management and Resource Allocation | 第108-113页 |
| 5.3.1 Solution of Multi-RAT Energy Management | 第109-110页 |
| 5.3.2 Solution of Multi-RAT Resource Allocation | 第110-113页 |
| 5.4 Tradeoff Performance between Network Utility and Delay | 第113-115页 |
| 5.5 Simulation Results | 第115-121页 |
| 5.6 Conclusions | 第121-123页 |
| CHAPTER 6 CONCLUSIONS AND FUTURE WORKS | 第123-127页 |
| 6.1 Conclusions | 第123-125页 |
| 6.2 Future Works | 第125-127页 |
| APPENDIX PROOF OF THEOREMS | 第127-133页 |
| A.1 Machine Learning aided Context-Aware Self-Healing Management for Ultra Dense Networks with QoS Provisions | 第127-129页 |
| A.1.1 Proof of Theorem 1 | 第127-128页 |
| A.1.2 Proof of Theorem 2 | 第128-129页 |
| A.2 Dynamic Resource-on-Demand Strategy for Multi-RAT Wireless Networks Powered by Heterogeneous Energy Sources | 第129-133页 |
| A.2.1 Proof of Lemma 1 | 第129-130页 |
| A.2.2 Proof of Theorem 1 | 第130-133页 |
| ACKNOWLEDAGEMENTS | 第133-135页 |
| RESUME | 第135-137页 |
| REFERENCES | 第137-150页 |
