博碩士論文 84325006 詳細資訊


姓名 金明輝(Ming-Hui Jin)  查詢紙本館藏   畢業系所 資訊工程學系
論文名稱 大型無線通訊網路之無隙縫連結服務
(Seamless Connectivity for Large Scale Cellular Networks)
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摘要(中) 在追尋高品質移動化傳輸服務的趨勢下,如何利用有限的無線通訊頻道資源來滿足急速增加的無線通訊用戶之通訊需求是一個充滿急迫性的問題。在有限頻道資源的限制下,為了提供用戶無止盡的通訊服務需求,縮小各基地台的服務範圍以減少各基地台之服務用戶的數量並同時提升頻道資源之重複使用率就成為最後的解決策略。然而,這種策略不但提升了用戶位置管理之複雜度,也大幅度地增加了換手(Handover)事件的發生頻率。在本論文中,針對提高頻道資源之重複使用率,我們根據目前多數系統業者之需求提出了一個新的成本模型並設計了一個分解演算法。為了提升位置管理之效能,本論文提出一個分散式位置資料庫之架構,此架構可迅速有效地調整運作效能以提升位置管理之能力。此外,本論文亦根據各用戶之移動行為來設計適合各用戶之查詢範圍,並依此提出一個新穎的位置追蹤策略。最後,為了讓換手的程序更加平順,本論文整合了切線速度預測法與我們所提出之移動行為預測法來保留適當的頻道資源供換手之通訊連線使用。這些研究議題與我們所提出之解決策略在本論文中有更詳盡的描述。本論文亦評估我們所提出之各解決策略所得到的解之品質與運作效能,而實驗結果顯示我們所提出之解決策略確實有效地提升通訊品質與系統運作效能。
摘要(英) In the trend of mobilization which highly affects quality of service in mobile multimedia network, the acute problem of supporting the maximum number of mobile applications under the limited channel resources is urgent to be solved. To satisfy the eagerness of profuse bandwidths under limited radio resources, diminishing the coverage area of cells to reduce the number of clients for each base station while increasing the channel reusability seems to be the most adopted solution. This, however, not only increases the difficulty of location management, but also increases the number of handover events. In this dissertation, we first propose a new cost model and a decomposition algorithm for increasing the channel resources reusability directly. To improve the performance of location management, a distributed location database architecture which facilitates performance tuning is proposed in this dissertation. Besides, we propose a novel location tracking strategy whose paging areas are designed according to the moving behavior of each mobile terminal. Finally, to make each handover activity smooth, we integrate the tangent velocity approach and behavior based approach for estimating the handover prediction of each active mobile terminal and then estimate the most appropriate number of guard channels for handover connections. The problem issues and proposed strategies for each one of them are further introduced in this dissertation. The performance and solution quality of our proposed strategies are evaluated and the experimental results demonstrate that the proposed strategies do improve the communication quality and system performance.
關鍵字(中) ★ 位置資料庫
★ 換手
★ 位置管理
★ 頻道分配
★ 無隙縫
★ 無線通訊
★ 位置預測
★ 移動行為
關鍵字(英) ★ Location Management
★ Handover
★ Location Database
★ Moving Behavior
★ Location Prediction
★ Seamless
★ Channel Assignment
★ Cellular Network
論文目次 摘要 I
Abstract II
誌謝 III
Table of Contents IV
List of Figures VIII
List of Tables X
Chapter 1. Introduction 1
1.1 Background 1
1.1.1 Radio Resource Management 1
1.1.2 Location Tracking and Maintenance 2
1.1.3 Handover 6
1.2 Motivation and Research Goals 9
1.3 Problem Issues and Approaches 10
1.3.1 Problem Issues and Approaches for Fixed Channel Assignment Problems 11
1.3.2 Problem Issues and Approaches for Location Tracking 12
1.3.3 Problem Issues and Approaches for Location Database Maintenance 15
1.3.4 Problem Issues and Approaches for Seamless Handover 17
1.4 Related Works 19
1.4.1 Channel Assignment 19
1.4.2 Location Tracking and Maintenance 22
1.4.3 Location Database Maintenance 25
1.4.4 Handover Management 28
1.5 Organization of This Dissertation 30
Chapter 2. Fixed Channel Assignment Problems 33
2.1 Cost Model for Fixed Channel Assignment Problems 33
2.1.1 Requirements of Channel Assignment under Limited Bandwidth Constraint 33
2.1.2 Assumptions and Notations 35
2.1.3 Problem Formulation 35
2.2 A Decomposition Approach for Fixed Channel Assignment Problems in Large-Scale Cellular Networks 36
2.2.1 Brief Overview to the Decomposition Algorithm 37
2.2.2 Assigning Difficulty and Decomposition 37
2.2.3 Coupling and Frequency Assignment 38
2.3 The Notation and Measures for Our Algorithms 40
2.3.1 Notations, Solution Formats and Definitions 40
2.3.2 Determined Measures: Straits and Freedoms 41
2.3.3 Undetermined Measures: UStrait and UFree 43
2.4 The Proposed Algorithm 45
2.4.1 Decomposition Algorithms 45
2.4.2 The Coupling Rules 47
2.4.3 The Assigning Algorithm 49
2.5 Experimental Results and Comparisons 50
2.5.1 The Benchmark Problems 51
2.5.2 Experimental Results and Comparisons 52
2.5.3 The Chung-Li City Problem 54
2.6 Summary 54
Chapter 3. Location Prediction Technologies 56
3.1 The Tangent Velocity Approaches 56
3.2 The Behavior based Approach 57
3.2.1 The Moving Behavior 57
3.2.2 Notations and Definitions of Moving Behavior 59
3.2.3 Mining the Moving Behavior from Moving History 60
3.2.4 Estimating the Time-Varying Location Probability from Moving Behavior 65
3.3 Summary 67
Chapter 4. Personal Paging Area Design Based on Moving Behavior 69
4.1 The Behavior Based Strategy 69
4.1.1 The Paging Procedure 70
4.1.2 Location Update Procedure 71
4.2 Personal Paging Area Design for BBS 72
4.2.1 Location Tracking Costs 72
4.2.2 The Initial Value of the Paging Area Function 73
4.3 Partition Problem and the Proposed Solutions 74
4.4 Experiments and Comparison 76
4.4.1 Simulation Design 76
4.4.2 Experimental Results and Comparisons 77
4.5 Summary 79
Chapter 5. Location Database Extension and Maintenance 80
5.1 The Distributed Database Architecture and Database Extension Strategy 80
5.1.1 The Proposed Distributed Database Architecture 80
5.1.2 Update Procedure and Transaction Model 82
5.1.3 The Query Procedure 83
5.2 Signaling Traffic Cost Estimation and Cost Model for the HLRPP 84
5.2.1 Problem Descriptions and Notations for HLRPP 84
5.2.2 The Query Cost and Update Cost 87
5.2.3 The Processing and Traffic Loads of each HLR 90
5.2.4 A Cost Model for the HLRPP 92
5.2.5 Parameter Estimation for the HLRPP 93
5.2.6 Algorithm for Solving the HLRPP 95
5.3 A Data Distributing Strategy for Database Extension and Performance Tuning 100
5.3.1 Data Initialization 100
5.3.2 Distribution Reformation 101
5.4 Performance Evaluation 102
5.4.1 Simulation Design for HLRPP 102
5.4.2 HLRPP Solution Quality Evaluation 103
5.4.3 Data Reformation Algorithm Evaluation 104
5.5 Summary 106
Chapter 6. An Intelligent Handover Scheme for The Next Generation Personal Communication System 107
6.1 The Handover Prediction 107
6.1.1 Handover Prediction for Irregular Mobile Terminals 107
6.1.2 Handover Prediction for Regular Mobile Terminals 108
6.2 Parameters Determination for Handover Prediction 109
6.3 Classifying the Moving Regularity for Mobile Terminals 110
6.4 The Intelligent Channel Reservation Scheme 112
6.4.1 The CRAP 112
6.4.2 Channel Assignment Procedure 114
6.4.3 The Guard Channel Decision Maker 114
6.5 Experiments and Comparison 116
6.5.1 Simulation Design 116
6.5.2 Experiment Results and Comparisons 118
5.6 Summary 120
Chapter 7. Conclusions 122
Bibliography123
Appendix 1. The Benchmark Problem Specifications 129
Appendix 2. The Experimental Results 130
Appendix 3. The Experimental Design and Result for Undetermined Measures 131
Appendix 4. Theorems 133
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指導教授 洪炯宗、吳曉光
(Jorng-Tzong Horng、Hsiao-Kuang Wu)
審核日期 2002-10-7
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