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姓名 林薰苑(Hsin-Yuan Lin) 電子郵件信箱 E-mail 資料不公開
畢業系所 電機工程學系研究所(Electrical Engineering)
畢業學位 碩士(Master) 畢業時期 88學年第2學期
論文名稱(中) 在無線網路上具有優先權的動態通道配置機制
論文名稱(英) A Dynamic Channel Allocation Mechanism with Priorities in Wireless Networks
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    摘要(中) 目前無線網路朝PicoCellular架構(縮小Cell範圍)發展,以利通道重新使用,增加網路承載量。但縮小Cell範圍會增加Handoff發生機率,行動通訊最不希望正在通訊的連線被中斷,所以降低被中斷機率極為重要。一般動態通道配置機制雖能降低交遞中連線被中斷機率(Blocking Probability of Handoff Call),但卻增加新連線被中斷機率(Blocking Probability of New Call); 或是沒能真正配合網路流量變化做最佳化通道配置及流量管理,使Channel Utilization下降。
    本篇論文研究具有優先權的動態通道配置機制。因此我們將所有通道分成High和Low兩種優先權等級,行動通訊連線也依此分兩種等級。和以往動態通道配置機制最大不同是,若沒有高優先等級通道供高優先權連線繼續通訊,而低優先等級通道有剩餘; 為避免中斷,高優先權連線可降低等級使用低優先等級通道。此外,在基地台我們定義兩個新的網路資訊狀態陣列,一為Next_Cell State,另一個為移轉機率(Transition Probability)。Next_Cell State儲存前M個Handoff Calls動向。一有正在通訊的行動終端移出去(即產生Handoff Call),則動態調整Next_Cell State內容。而移轉機率陣列儲存基地台裡目前正在通訊的連線(Active Calls)至各個相鄰Cells的機率。移轉機率配合Next_Cell State可精確預估行動終端移往每個相鄰Cells的機率。因此根據移轉機率和Active Calls數目,可動態調整要求相鄰Cells預留多少頻寬的訊息。
    我們以數學分析我們所提出的方法。在數學分析中,我們設計一個四維的馬可夫鏈(Markov Chain),並採用MATLAB[41]來分析連線被中斷機率、通道傳輸量(Channel Throughput)等議題。結果發現,精確估算行動終端的動向,加上分有高低等級的通道,使得系統的交遞中連線被中斷機率能下降,並提升Channel Utilization。
    摘要(英) Pico-Cellular architecture fully reuses frequency to increase network capacity. However, it will increase the occurance of Handoff due to the small range of cell. Previous works in channel allocations can reduce blocking probability of handoff call, but it may increase blocking probability of new call. As a result, channel utilization is decreased because they can not adapt to network changes.
    In this thesis, we present a Dynamic Channel Allocation Mechanism with priority support. All channels and calls are divided into high and low priority. If there is no high_priority channel for high_priority call, high_priority call may downgrade its priority by sacrificing some QoS to utilize low_priority channels. We define two new array for network information status, one is next_cell state, and the other is the transition probability. Next_cell state is used to save prior M Cell_Ids where handoff calls may move to. Transition probability is used to save the probabilities for active calls moving to other neighboring cells. According to next_cell state and transition probability, we can accurately predict the probabilities for mobile hosts moving to other neighboring cells. Therefore, we can dynamically adjust bandwidth reservation requests sending to neighboring cells by the latest transition probability and the number of active calls in this cell.
    We analyze the proposed mechanism through a mathematical model. In the model, we build a four-dimension Markov Chain and use MATLAB[41] tool to evaluate blocking probability, channel throughput and utilization. We found out that blocking probability of handoff call can be decreased and channel utilization can be increased through the proposed channel allocation mechanisms with high and low priority support.
    關鍵字(中)
  • 交遞協定
  • 通道傳輸量
  • 馬可夫鏈
  • 連線中斷機率
  • 通道配置
  • 關鍵字(英)
  • Channel Throughput
  • Handoff Call
  • Markov Chain
  • Channel Allocation
  • Blocking Probabilty
  • 論文目次 第一章 導論
     1.1 研究動機
     1.2 研究方向與方法
     1.3 論文架構
    第二章 相關背景
     2.1 Wireless Networks
      2.1.1 簡介Wireless Network架構
      2.1.2 Cellular架構及其設計原理
     2.2 Wireless ATM Networks
      2.2.1 簡介Wireless ATM架構
      2.2.2 Priority Control in Wired and Wireless ATM Networks
      2.2.3 Mobility技術分析
      2.2.4 各種不同Handoff Protocol之分析比較
        2.2.4.1 Re-routing設計分析
        2.2.4.2 Handoff時Buffer的設計
        2.2.4.3 其他
     2.3 通道配置
      2.3.1通道配置簡介
      2.3.2 通道配置機制相關論文比較
     2.4 具優先權的動態通道配置法
    第三章 具優先權的動態通道配置法
     3.1 基本概念
     3.2 整體流程說明
      3.2.1 基地台的處理流程
      3.2.2 整個系統互動關係
     3.3 動態通道配置機制的新構想
    第四章 數學分析
     4.1 基本定義
     4.2 動態通道配置法的數學分析與推導
     4.3 馬可夫鏈(Markov Chain)的設計
      4.3.1 model 1說明
      4.3.2 model 2說明
      4.3.3 model 3說明
     4.4數學模式的結果分析
    第五章 結論與未來展望
     5.1 結論
     5.2 未來展望
    附錄(Appendix)
    參考文獻(References)
    索引(Index)
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