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研究生: 楊志遠
Yang, Chih-Yuan
論文名稱: 適應性網路式多輸入多輸出系統架構中用戶導向之動態頻率配置方案
Adaptive Network MIMO Architecture Based on Dynamic User-Oriented Frequency Allocation Scheme
指導教授: 張志文
Chang, Wenson
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: 2015
畢業學年度: 103
語文別: 英文
論文頁數: 53
中文關鍵詞: 多輸入多輸出網路頻率分配方案部分頻率重複使用Zero-forcing髒紙編碼卜瓦松程序奈許平衡
外文關鍵詞: network MIMO, frequency allocation scheme, fractional frequency reuse, zero-forcing, dirty-paper-coding, Poisson Point Process, Nash equilibrium
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  • 本論文中,我們重新研究了細胞網路架構的頻率分配方案(FAS),而且是考慮了使用者非均勻分布的情形。由於細胞中,扇形區域間的使用者分布不均勻,所以整體網路架構的交通流量變得非常不平衡。為了滿足使用者的要求,所以就提出了用戶導向之動態頻率配置方案(Duo-FAS),使得子載波的個數可以依據使用者在扇形區域中的數量來分配。不過,此方案的技術卻移除了頻率配置(例如:傳統三扇形的細胞架構)原本可以避免干擾的好處。這意味著使用此方案會產生出額外的細胞間相互干擾(ICI)。幸運的是,多輸入多輸出(MIMO)網路技術可以有效解決細胞間相互干擾的衝擊。使用此方案,多輸入多輸出網路中合作的細胞數量與對象,會跟傳統的方案大有差別。因此,適當挑選合作對象就變成一個重要的議題。關鍵在於:位於細胞邊緣的使用者有較高的優先權,能夠適當挑選相鄰的細胞,以形成合作的多輸入多輸出網路群體,使得細胞間的強干擾可以消除。模擬結果證明了細胞的消息容量(capacity)有所提升。

    In this thesis, we revisit the frequency allocation scheme (FAS) for the cellular networks by taking the non-uniform distribution of users into account. Owing to the non-uniformly distributed user density from sector to sector, the traffic loads become highly unbalanced across whole network. Thus, to satisfy users' requests, the dynamic user-oriented FAS (Duo-FAS) is proposed to allocate different amount of subcarriers to sectors according to the variant user densities. However, the Duo-FAS technique can partially remove the innate benefit of interference avoidance via frequency planning, i.e. the conventional three-sectored cell architecture. That means some extra inter-cell interference (ICI) can be produced by using Duo-FAS. Fortunately, the so-called network multiple-input and multiple-output (MIMO) technique can effectively alleviate the impact of ICI. Thanks to Duo-FAS, the number and positions of the cooperative cells of network MIMO can be significantly different from the conventional schemes. Thus, properly selecting the cooperative cells becomes a pivotal issue. The key is that a user near the cell edge has a higher priority to adaptively select the neighboring cells to form a cooperative network MIMO group so that the strong ICI can be eliminated. Via the simulation results, the superior performance in the aspect of cell capacity is proved.

    1 Introduction 1 1.1 Overview .............1 1.2 Thesis Outline ............4 2 Background and Literature Survey 5 2.1 Countermeasure against ICI ........5 2.1.1 Fractional Frequency Reuse With Sectorization ...5 2.1.2 Network MIMO .........7 2.1.3 Inter-Group Interference ........10 2.1.4 Hybrid FFR and Network MIMO .......10 2.2 Game Theory on Communication System .......12 2.2.1 Nash Equilibrium ..........12 3 System model 13 3.1 Poisson Point Process Tracs .........13 3.2 Signal Model ............15 3.3 Wrap Around in Rearranged FAS Network ......19 4 Adaptive Network MIMO With Duo-FAS 20 4.1 Adaptive Network MIMO With Heuristic Duo-FAS .....20 4.1.1 Duo-FAS ...........20 4.1.2 Adaptive Network MIMO .......21 4.2 Adaptive Network MIMO With Game Theoretical Duo-FAS ..25 4.2.1 Utility Function .........25 5 Simulation Results 29 5.1 Simulation Setup ..........29 5.2 Performance of SINR ..........31 5.3 Performance of User Capacity .........34 5.4 Performance of Cell Capacity .........37 5.5 Average Performance of Cell Capacity With More Kinds of User Distribution .........40 5.6 Discussion .........42 6 Conclusions and Future Works 44 6.1 Conclusions ...........44 6.2 Future Works ............45 Bibliography 46 7 Appendix 51 7.1 The Test Result of Proposed Method and Brute Force ....51 7.2 The Test Result of Proposed Method of Maximizing The Payo ..55

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