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研究生：	陳柔伊 Chen, Jou-Yi
論文名稱：	多重輸入多重輸出於多點協調系統中基於網路定義與使用者定義之效能分析 Performance Analysis for Network-Centric and User-Centric MIMO Multi-Cell Cooperation
指導教授：	劉光浩 Liu, Kuang-Hao
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：	2017
畢業學年度：	105
語文別：	英文
論文頁數：	43
中文關鍵詞：	多點協調、進階長期演進技術、多重輸入多重輸出、隨機幾何、迫零波束成形
外文關鍵詞：	Coordinated multi-point(CoMP), long-term evolution advanced(LTE-A), multi-input multi-output(MIMO), stochastic geometry, zero forcing beamforming(ZFBF)
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近年來，無線頻寬的需求呈現爆炸性的成長，密集的佈建基地台以增加訊號的覆蓋率，不但拉近了基地台與使用者的距離，改善細胞邊緣用戶的連線品質，但細胞之間的干擾也大幅上升，維持高品質的無線網路的關鍵在於干擾消除，由進階長期演進技術提出的多點協調技術透過基地台相互合作，能有效的管理鄰近基地台所造成的干擾。然而現在還沒有明確的規定該由哪些基地台合作行成叢集，可以降低建構基地台合作的複雜度和帶給網路最大的效益。因此本論文分析了兩種使基地台合作的方式，第一種是藉由網路事先定義好由哪些基地台合作形成叢集，第二種是由使用者依據接收功率進行排序，向數個提供功率較強的基地台發送連線請求，由這些基地台合作形成叢集。本論文透過分析使用者的訊號與雜訊干擾比，進而瞭解不同基地台形成叢集的方式對於使用者的連線品質與吞吐量的理論值。我們以模擬結果來驗證理論值，並且觀察各關鍵參數對於多點協調系統的影響。

In cellular networks, high spectral efficiency is often achieved by frequency reuse, leading to severe inter-cell interference (ICI). In order to eliminate ICI, a promising technique called Coordinated Multi-Point (CoMP) has been introduced in the Long-Term Evolution Advanced (LTE-A), where multiple base stations (BSs) cooperate to serve users. While CoMP has been widely studied, a fundamental question remains unclear: how to group a set of BSs to cooperate? In this work, theoretical analysis is conducted to investigate two clustering mechanisms for BS cooperation, including the network-centric and the user-centric clustering. For the former, the BSs in the proximity are clustered during the network planning state. For the latter, BSs are clustered if they provide superior average received power to the user regardless their locations. To evaluate the performance of the two clustering mechanisms, we derive the coverage probability and the ergodic sum rate by using the tools from stochastic geometry. Simulation results are presented to verify the analysis accuracy and demonstrate the impact of numerous key system parameters to the CoMP system.

Chinese Abstract . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . i
English Abstract . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . ii
Acknowledgement . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . iii
Table of Contents . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . iv
List of Figures . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . vi
List of Tables . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . viii
List of Symbols . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . x
List of Acronyms . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . xi
Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1
1 Illustration and Problem Statement . . . . . . . . . . . . . . . . . . . . . . 1
2 Thesis Structure . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2
Related Work  . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3
1 CoMP Categories . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3
2 BSs Clustering . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5
BS cooperation scheme  . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7
1 Network-Centric . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7
1.1 Joint transmission Scenario . . . . . . . . . . . . . . . . . . . . . 8
1.2 Coordinated Beamforming Scenario . . . . . . . . . . . . . . . . . 14
2 User-Centric . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15
2.1 Received SINR . . . . . . . . . . . . . . . . . . . . . . . . . . . . 16
2.2 Analysis of the Coverage Probability and the Downlink User Rate . 17
Results and Discussions  . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 20
1 Impact of BS Load . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 21
1.1 Network-centric clustering . . . . . . . . . . . . . . . . . . . . . . 21
1.2 User-centric clustering . . . . . . . . . . . . . . . . . . . . . . . . 24
2 Impact of Number of BS Antennas . . . . . . . . . . . . . . . . . . . . . . 28
2.1 Network-centric clustering . . . . . . . . . . . . . . . . . . . . . . 28
2.2 User-centric clustering . . . . . . . . . . . . . . . . . . . . . . . . 30
3 The Impact of Pico Cell . . . . . . . . . . . . . . . . . . . . . . . . . . . . 32
3.1 Network-Centric . . . . . . . . . . . . . . . . . . . . . . . . . . . 32
4 Comparisons Results . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 35
4.1 Joint Transmission Gain . . . . . . . . . . . . . . . . . . . . . . . 35
4.2 CoMP Gain . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 37
4.3 Comparisons of Clustering Schemes . . . . . . . . . . . . . . . . . 38
Conclusion  . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 40
1 Summery of Thesis . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 40
2 Future Work . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 41
References  . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 42

                                    

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校內：2020-07-14公開
校外：不公開電子論文尚未授權公開，紙本請查館藏目錄

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