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研究生: 楊昀蒞
Yang, Yun-Li
論文名稱: 在延遲靈敏之感知無線電網路中以賽局理論實現之通道分配法
Game Theoretic Channel Allocation for the Delay-Sensitive Cognitive Radio Network
指導教授: 張志文
Chang, Chih-Wen
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: 2010
畢業學年度: 98
語文別: 中文
論文頁數: 47
中文關鍵詞: 感知無線電確切勢賽局通道分配納許平衡點賽局理論
外文關鍵詞: cognitive radio, exact potential game, channel allocation, Nash equilibrium, game theory
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  • 本研究中,針對延遲靈敏之感知無線網路,我們提出了若干個以賽局 (game) 理論為基礎的通道分配機制。 首先,更改傳統的干擾察覺通道分配機制的功用函數 (utility function),並將排隊延遲 (queueing delay) 納入考量。其次,為了適用於感知無線電頻譜重疊式 (spectrum-underlay) 與頻譜交織式 (spectrum-interweave) 的操作,我們亦將感知用戶對的傳送端與接收端之間的通道狀況和與俱執照用戶共用同一通道時,針對系統間干擾的代價調整機制,包含在功用函數中。 因此,系統能達到更佳的頻寬使用效率和更短的時間延遲,此外,更確保了俱執照系統的訊號-干擾-雜訊比值 (SINR) 要求。最後,藉由確切勢賽局 (exact potential game) 的理論,設計良好的勢函數 (potential function) 以證明功用函數的收斂性與納許平衡點 (Nash equilibrium) 的存在。根據模擬結果所示,所提的通道分配機制,相對於有效地縮短了傳輸延遲,僅僅犧牲了少量的傳輸率。 再者,比較所提出的三種功用函數,我們能明顯觀察到頻譜重疊式的例子,在頻譜使用效率與排隊延遲這兩個層面上皆有最好的效能,並在本文最後針對該主題未來的延伸探討提出若干個建議。

    In this thesis, we proposed some novel channel allocation schemes via game theoretical approach for the delay-sensitive cognitive radio (CR) network. First, we modified the utility function of the conventional interference-aware channel allocation scheme by taking the queueing delay into account. Second, to better fit the spectrum-interweave and spectrum-underlay operations in the CR systems, an adaptive cost of the inter-system interference when sharing channel with the primary system, and the channel conditions along the CR transmission pairs are also incorporated in the utility functions such that higher efficiency of the spectrum utilization and shorter waiting time of the CR system can be achieved; and the target signal-to-noise-and-interference ratio (SINR) of the primary system can be guaranteed, too. Finally, by the theory of the exact potential game, the existence of the Nash equilibrium and convergence of the proposed utility functions are proved by some well-designed potential functions. The simulation results show that the proposed channel allocation schemes can effectively reduce the average waiting time, while slightly reducing the throughput. Furthermore, among the three proposed channel allocation schemes, the one for the spectrum-underlay mode can achieve higher throughput and lower delay. Some suggestions for possible research topics in the future are provided in the end of the thesis.

    Chinese Abstract i English Abstract iii Acknowledgements v Contents vi List of Tables ix List of Figures x Glossary of Symbols xiv 1 Introduction 1 1.1 Problem Formulation and Solution . . . . . . . . . . . . . . . . . . . . 1 1.2 Thesis Outline . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3 2 Background and Literature Survey 5 2.1 Cognitive Radio . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5 2.1.1 Spectrum Sharing in Cognitive Radio Network . . . . . . . . . . 6 2.2 An Overview of Game Theory . . . . . . . . . . . . . . . . . . . . . . . 9 2.2.1 The Concept of Equilibrium . . . . . . . . . . . . . . . . . . . . 10 2.3 Game Theoretical Applications in Cognitive Radio Network . . . . . . 12 3 Channel Allocation in the Delay Sensitive Cognitive Radio Network 14 3.1 System Model . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 14 3.1.1 Signal to Interference and Noise Ratio (SINR) . . . . . . . . . . 15 3.1.2 Analysis of Average Waiting Time . . . . . . . . . . . . . . . . . 16 3.2 A Game Theoretic Framework for Channel Allocation . . . . . . . . . . 18 3.3 A Joint Interference-Aware and Queue-Aware Channel Allocation Scheme 19 3.3.1 Modification for the Spectrum-Interweave Cognitive Radio . . . 20 3.3.2 Modification for the Spectrum-Underlay Cognitive Radio . . . . 20 3.4 Potential Game . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 21 3.4.1 Definitions of the Potential Game . . . . . . . . . . . . . . . . . 22 3.4.2 Property of the Finite Improvement Path . . . . . . . . . . . . . 22 3.4.3 Potential Functions for the Proposed Channel Allocation Schemes . . . . 23 4 Simulation Results 28 4.1 Simulation Setup . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 28 4.2 Convergence Properties . . . . . . . . . . . . . . . . . . . . . . . . . . . 30 4.2.1 The Convergence of the Proposed Channel Allocation Schemes . . . . 30 4.2.2 The Finite Improvement Path of the Potential Functions . . . . 30 4.3 Comparison between Single and Multiple Channel Allocations . . . . . 33 4.4 Comparison between the Proposed Channel Allocation Schemes . . . . 37 4.5 Chapter Summary . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 39 5 Conclusion Remarks 41 5.1 Suggestions for Future Works . . . . . . . . . . . . . . . . . . . . . . . 41 Bibliography 43 Vita 47

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