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Student Number 84325006
Author Ming-Hui Jin(ª÷©ú½÷)
Author's Email Address jinmh@db.csie.ncu.edu.tw
Statistics This thesis had been viewed 2707 times. Download 1214 times.
Department Computer Science and Information Engineering
Year 2002
Semester 1
Degree Ph.D.
Type of Document Doctoral Dissertation
Language English
Title Seamless Connectivity for Large Scale Cellular Networks
Date of Defense 2002-10-03
Page Count 134
Keyword
  • Cellular Network
  • Channel Assignment
  • Handover
  • Location Database
  • Location Management
  • Location Prediction
  • Moving Behavior
  • Seamless
  • Abstract 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.
    Table of Content ºK­nI
    AbstractII
    »xÁÂIII
    Table of ContentsIV
    List of FiguresVIII
    List of TablesX
    Chapter 1.  Introduction1
    1.1   Background1
    1.1.1  Radio Resource Management1
    1.1.2  Location Tracking and Maintenance2
    1.1.3  Handover6
    1.2   Motivation and Research Goals9
    1.3   Problem Issues and Approaches10
    1.3.1  Problem Issues and Approaches for Fixed Channel Assignment Problems11
    1.3.2  Problem Issues and Approaches for Location Tracking12
    1.3.3  Problem Issues and Approaches for Location Database Maintenance15
    1.3.4  Problem Issues and Approaches for Seamless Handover17
    1.4   Related Works19
    1.4.1  Channel Assignment19
    1.4.2  Location Tracking and Maintenance22
    1.4.3  Location Database Maintenance25
    1.4.4  Handover Management28
    1.5   Organization of This Dissertation30
    Chapter 2.  Fixed Channel Assignment Problems33
    2.1   Cost Model for Fixed Channel Assignment Problems33
    2.1.1  Requirements of Channel Assignment under Limited Bandwidth Constraint33
    2.1.2  Assumptions and Notations35
    2.1.3  Problem Formulation35
    2.2   A Decomposition Approach for Fixed Channel Assignment Problems in Large-Scale Cellular Networks36
    2.2.1  Brief Overview to the Decomposition Algorithm37
    2.2.2  Assigning Difficulty and Decomposition37
    2.2.3  Coupling and Frequency Assignment38
    2.3   The Notation and Measures for Our Algorithms40
    2.3.1  Notations, Solution Formats and Definitions40
    2.3.2  Determined Measures: Straits and Freedoms41
    2.3.3  Undetermined Measures: UStrait and UFree43
    2.4   The Proposed Algorithm45
    2.4.1  Decomposition Algorithms45
    2.4.2  The Coupling Rules47
    2.4.3  The Assigning Algorithm49
    2.5   Experimental Results and Comparisons50
    2.5.1  The Benchmark Problems51
    2.5.2  Experimental Results and Comparisons52
    2.5.3  The Chung-Li City Problem54
    2.6   Summary54
    Chapter 3.  Location Prediction Technologies56
    3.1   The Tangent Velocity Approaches56
    3.2   The Behavior based Approach57
    3.2.1  The Moving Behavior57
    3.2.2  Notations and Definitions of Moving Behavior59
    3.2.3  Mining the Moving Behavior from Moving History60
    3.2.4  Estimating the Time-Varying Location Probability from Moving Behavior65
    3.3   Summary67
    Chapter 4.  Personal Paging Area Design Based on Moving Behavior69
    4.1   The Behavior Based Strategy69
    4.1.1  The Paging Procedure70
    4.1.2  Location Update Procedure71
    4.2   Personal Paging Area Design for BBS72
    4.2.1  Location Tracking Costs72
    4.2.2  The Initial Value of the Paging Area Function73
    4.3   Partition Problem and the Proposed Solutions74
    4.4   Experiments and Comparison76
    4.4.1  Simulation Design76
    4.4.2  Experimental Results and Comparisons77
    4.5   Summary79
    Chapter 5.  Location Database Extension and Maintenance80
    5.1   The Distributed Database Architecture and Database Extension Strategy80
    5.1.1  The Proposed Distributed Database Architecture80
    5.1.2  Update Procedure and Transaction Model82
    5.1.3  The Query Procedure83
    5.2   Signaling Traffic Cost Estimation and Cost Model for the HLRPP84
    5.2.1  Problem Descriptions and Notations for HLRPP84
    5.2.2  The Query Cost and Update Cost87
    5.2.3  The Processing and Traffic Loads of each HLR90
    5.2.4  A Cost Model for the HLRPP92
    5.2.5  Parameter Estimation for the HLRPP93
    5.2.6  Algorithm for Solving the HLRPP95
    5.3   A Data Distributing Strategy for Database Extension and Performance Tuning100
    5.3.1  Data Initialization100
    5.3.2  Distribution Reformation101
    5.4   Performance Evaluation102
    5.4.1  Simulation Design for HLRPP102
    5.4.2  HLRPP Solution Quality Evaluation103
    5.4.3  Data Reformation Algorithm Evaluation104
    5.5   Summary106
    Chapter 6.  An Intelligent Handover Scheme for The Next Generation Personal Communication System107
    6.1   The Handover Prediction107
    6.1.1  Handover Prediction for Irregular Mobile Terminals107
    6.1.2  Handover Prediction for Regular Mobile Terminals108
    6.2   Parameters Determination for Handover Prediction109
    6.3   Classifying the Moving Regularity for Mobile Terminals110
    6.4   The Intelligent Channel Reservation Scheme112
    6.4.1  The CRAP112
    6.4.2  Channel Assignment Procedure114
    6.4.3  The Guard Channel Decision Maker114
    6.5   Experiments and Comparison116
    6.5.1  Simulation Design116
    6.5.2  Experiment Results and Comparisons118
    5.6   Summary120
    Chapter 7.  Conclusions122
    Bibliography123
    Appendix 1.  The Benchmark Problem Specifications129
    Appendix 2.  The Experimental Results130
    Appendix 3.  The Experimental Design and Result for Undetermined Measures131
    Appendix 4.  Theorems133
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    Advisor
  • Hsiao-Kuang Wu(§d¾å¥ú)
  • Jorng-Tzong Horng(¬x¬³©v)
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    Date of Submission 2002-10-07

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