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研究生:林皓凱
研究生(外文):Hao-Kai Lin
論文名稱:下一代行動網路之移動穩定性最佳化策略
論文名稱(外文):Mobility Robustness Optimization based on Radio Link Failure Prediction in Future SON/5G Network
指導教授:陳俊良陳俊良引用關係
指導教授(外文):Jiann-Liang Chen
口試委員:陳俊良
口試委員(外文):Jiann-Liang Chen
口試日期:2016-10-01
學位類別:碩士
校院名稱:國立臺灣科技大學
系所名稱:電機工程系
學門:工程學門
學類:電資工程學類
論文種類:學術論文
論文出版年:2016
畢業學年度:105
語文別:英文
論文頁數:66
中文關鍵詞:自組織網路長程演進計畫第五代移動通訊系統第三代合作夥伴計劃
外文關鍵詞:Self-Organizing Network (SON)LTE5G3GPP
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隨著智慧手機與物聯網設備之快速發展,全球行動網路需求隨之增長,根據NGMN對未來行動網路預測,未來五年行動網路數據流量將會成長二十倍。為因應大幅成長的網路需求,第三代合作夥伴計劃(3rd Generation Partnership Project, 3GPP)提出透過大量佈建小型基地台(Small Cell)來提升行動網路容量,但在大量佈建的同時亦增加網路管理之難度,然解決方案自組織網路(Self-Organizing Networks, SON)也在當時一併被提出。
傳統網路在基地台佈建之前需要相當長的時間進行評估,考量基地台佈建的位置、天線角度與功率等設定,設置時需透過網管系統以手動方式修改及調整,但此種方式效率低且成本高,無法適用於4G+、5G密集佈建之網路環境。為解決上述問題,自組織網路透過自動化機制自動調整基地台參數,簡化安裝步驟,降低網路佈建與管理成本,進而提高網路品質。
自組織網路分為自配置(Self-configuration)、自優化(Self-optimization)與自修復(Self-healing)三大功能,本研究著重於自優化中的移動穩定性優化(Mobility Robustness Optimization, MRO),提出一管理機制透過基地台位置及功率與使用者之位置及行進方向來預測無線連接中斷(Radio Link Failure, RLF)的發生,進而自動調整基地台參數,降低無線連接中斷機率,提高行動網路之移動穩定性。本研究所提出之方法比起其他方法可降低RLF發生1.08%,提升系統移動穩定性。
Global mobile communications have flourished as the 4G+/5G Long Term Evolution (LTE) network technology and applications have become much more diversified. As the difficulties associated with configuration and management mechanisms have increased dramatically, the Self-Organizing Network (SON) has been defined in the Next Generation Mobile Network (NGMN) and relevant research has been conducted in order to improve the operation and the efficiency of the future network.

3GPP has proposed that macro cell will be extracted, and small base stations (Small Cell) will be densely deployed in the future 5G network. Hence, mobility will certainly become a critical issue in the future wireless network. In order to solve such issues, SON mechanisms are proposed to install cells and adjust cell parameters automatically.

This study proposes a Mobility Robustness Optimization (MRO) mechanism to deal with Radio Link Failures (RLF) during the handover process. RLF can be classified into: too late handover, too early handover and handover to wrong cell. This study focuses on these handover failure conditions, considers the parameter defined in 3GPP - A3 Offset, and derives several calculation formulas for handover between cells. The proposed MBRP mechanism is compared with the HO-region and it is able to reduce 1.08% of the RLF percentage. This study reduces the RLF problems and optimizes the handover process in the network, further improving the handover quality of the overall network.
摘要 I
Abstract II
致謝 III
Contents IV
List of Figures VI
List of Tables VIII
Chapter1 Introduction 1
1.1 Motivation 1
1.2 Contributions of This Study 3
1.3 Organization of This Study 4
Chapter2 Background Knowledge 5
2.1 Small Cell, Macro Cell and eNB 5
2.2 Self-Organizing Network sub-functions 6
2.2.1 Self-Configuration 7
2.2.2 Self-Optimization 8
2.2.3 Self-Healing 9
2.3 SON Architectural Types 11
2.3.1 Distributed SON 11
2.3.2 Centralized SON 12
2.3.3 Hybrid SON 13
2.4 SON Operational Methods 15
2.4.1 Handover 15
2.4.2 Mobility Robustness Optimization 21
2.5 Operations, Administration and Management 26
2.6 3rd Generation Partnership Project (3GPP) 26
Chapter3 Proposed System Architecture 28
3.1 System Overview 28
3.2 Proposed Mechanisms 30
3.2.1 Monitor 30
3.2.2 RLF Threshold Comparison 31
3.2.3 MBRP Mechanism 33
Chapter4 System Design and Performance Analysis 37
4.1 Experimental Environment 37
4.2 Performance Analysis 39
4.3.1 The Number of Radio Link Failures 39
4.3.2 A3 Offset of the System 41
4.3.3 A3 Offset of the base station 42
4.3.4 Tradeoff 43
4.3.5 Compare with HO-region 44
4.3.6 Summary 46
Chapter5 Conclusion and Future Work 47
5.1 Conclusion 47
5.2 Future Work 47
References 50
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