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研究生： 潘特琳
Pham, Thanh Linh
論文名稱： 感知無線電網路中資源分配設計
Resource allocation of Cognitive Radio networks
指導教授： 郭文光
Kuo, Wen-Kuang
學位類別： 碩士
Master
系所名稱： 電機資訊學院 - 電腦與通信工程研究所
Institute of Computer & Communication Engineering
論文出版年： 2011
畢業學年度： 99
語文別： 英文
論文頁數： 46
外文關鍵詞： Cognitive Radio, Optimization, Power Control, Fair Throughput, Resource allocation, Cross-layer
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    • It has been widely recognized that the valuable, yet finite radio spectrum is being underutilized by licensed systems both spatially and temporally. To realize a more efficient use of this valuable resource, secondary spectrum usage by cognitive radios is being considered. Cognitive Radio is a paradigm for wireless communication in which either a network or a wireless node changes its transmission or reception parameters to communicate effectively while avoiding interference to licensed users. Thus, we propose the cross-layer system model for the control of transmission power in the physic layer, scheduling the time slots and channel assignment in the data link, and routing in the network layer. Besides, there is a proposed algorithm which carries out resource allocation in distributed cognitive radio network.

    ABSTRACT II ACKNOWLEDGEMENTS III TABLE OF CONTENTS IV LIST OF TABLES VI LIST OF FIGURES VII LIST OF ABBREVIATIONS VIII LIST OF SYMBOLS IX CHAPTER ONE INTRODUCTION 1 1.1 Research Background 1 1.2 Research Objective 5 1.3 Outline of the Thesis 6 CHAPTER TWO COGNITIVE RADIO AND PROBLEM FORMULATION 7 2.1 Introduction 7 2.2 Cognitive Radio 7 2.3 System model and Problem formulation 10 2.3.1 Power Constraint 11 2.3.2 Interference Temperature Constraint 11 2.3.3 Half-duplex Constraint 12 2.3.4 Link Capacity Constraint 12 2.3.5 Flow Conservation 13 2.3.6 System Model and Objective Function 14 2.4 Conclusion 18 CHAPTER THREE RESEARCH METHOD AND ALGORITHMS 19 3.1 Introduction 19 3.2 The distributed resource allocation algorithms 19 3.2.1 The distributed algorithm using dual decomposition and subgradient method 19 3.2.2 The efficient power control algorithm 22 3.3 Searching available routes 26 3.4 Channel assignment and scheduling tine slots 30 3.5 Conclusion 36 CHAPTER FOUR SIMULATION RESULTS 37 4.1 Introduction 37 4.2 Simulation results 37 CHAPTER FIVE CONCLUSION 42 REFERENCES 43 APPENDICES 46 Appendix A: Node coordinates 46

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