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研究生: 邱璽安
Ciou, Si An
論文名稱: 在5G D2D通訊下利用斯塔克爾伯格模型進行電力控制及一對多資源分配
Stackelberg Game Based Power Control and Resource Allocation for Device-to-Device Underlay Communication
指導教授: 高榮駿
Kao, Jung Chun
口試委員: 楊舜仁
Yang, Shun Ren
趙禧綠
Chao, Hsi Lu
學位類別: 碩士
Master
系所名稱: 電機資訊學院 - 資訊工程學系
Computer Science
論文出版年: 2015
畢業學年度: 103
語文別: 英文
論文頁數: 24
中文關鍵詞: 裝置與裝置直接溝通行動網路資源分配電力控制
外文關鍵詞: D2D communication, mobile network, resource allocation, power control
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  • 傳統的無線網路可以透過兩個裝置直接互相溝通(Device-to-device communication)來增加整體的傳輸速度並減輕基地台的負擔。
    然而,因為加入了D2D communication,同時也會使整體網路變得更複雜,干擾變得更多。因此,如何去協調各個裝置所使用的資訊以及訊號強度對於D2D communication來說,顯得非常重要。
    在我們的研究裡,我們分析了頻段資源重複利用的問題,我們允許多個D2D裝置以及一個傳統的裝置可以同時使用同一頻段,透過斯塔克爾伯格模型來進行電力控制以及資源分配來強化整個系統的傳輸量。我們同時也考慮了各個裝置的通訊品質(Quality of service),除了強化整體傳輸效率以外,也不忘個體表現。
    最後,我們的模擬結果顯示,無論是在公平性(Jain's fairness index)或是整體輸出上,我們都有較好的表現。


    Device-to-device (D2D) communication as an underlaying to cellular networks are prove to be efficient in improving the network performance and releasing the traffic load of base station (BS). However, the performance of both D2D user equipments (DUEs) and cellular user equipments (CUEs) can be affected by mutual interferences. Therefore, comprehensive coordination is indicated in the scheduling and allocation of channel resources and power to DUE communication.

    In our research, we analyze the multi-sharing resource allocation problem, which allows multiple DUEs to reuse the same radio resource that has been assigned to the particular CUE. We then concluded that the multi-sharing resource allocation problem is a NP-hard problem, and proposed a Stackelberg game for power control and channel allocation to improve the performance of D2D communications. We take both network throughput and quality of service (QoS) of CUE and DUE into consideration by implementing interference managements. We analyze the equilibrium of the game, and propose an algorithm for joint scheduling and resource allocation. Nevertheless, the simulation results show that the algorithm has better throughput and Jain's fairness index than the others.

    1. Introduction 2. Related Work 3. System Model 4. Problem Formulation & Mathematical Analysis 4.1 Utility Functions 4.2 Follower Analysis 4.3 Leader Analysis 5. Stackelberg Game Based Power Control and Resource Allocation Algorithm 6. Compared Algorithm 6.1 Greedy Throughput Maximization Algorithm 6.2 Greedy Resource Allocation Algorithm 6.3 Optimal Resource Allocation Algorithm 7. Simulation Results 8. Conclusions

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