臺灣博碩士論文加值系統

在文獻裡有很多頻寬保留的架構被提出來減少在蜂巢式網路架構下的移交連線中斷率。移交的情況在移動WiMAX網路封包會比傳統的蜂巢式網路裡有較高的發生機率。一個有效率的頻寬保留機制在鄰近細胞是在連接多媒體要求的移交過程中，尤其是當切換頻率很高時，可以避免在WiMAX網路中通話被迫終止和浪費珍貴的頻寬，在本論文中，一種自我調適的頻寬保留機制被提出來降低多媒體移交連線的中斷機率。值得注意的是，一個移動機率預測模組被用來評估鄰近細胞的頻寬需求量。根據模擬結果顯示，本論文所提出的機制在移交連線中斷機率、新連線要求的阻斷率和頻寬利用這些方面的性能指標上，能夠達到比在文獻上的頻寬保留機制還優異的績效。

Many mechanisms based on bandwidth reservation have been proposed in the literature to decrease connection dropping probability for handoffs in cellular communications. The handoff events occur at a much higher rate in packet-switched mobile WiMAX networks than in traditional cellular systems. An efficient bandwidth reservation mechanism for the neighboring cells is therefore critical in the process of handoff during the connection of multimedia calls to avoid the unwillingly forced termination and waste of limited bandwidth in mobile communication networks, particularly when the handoff traffic is heavy, as seen in mobile WiMAX networks. In this thesis, a self-adaptive bandwidth reservation scheme is proposed to reduce the call dropping probability of multimedia handoffs. Notably, a probabilistic mobility prediction model is adopted to estimate the bandwidth required in neighboring cells. The simulation results show that the proposed scheme can achieve superior performance than the representative bandwidth-reserving schemes in the literature when performance metrics are measured in terms of the call dropping probability for the handoffs, the call blocking probability for the new connections and bandwidth utilization.

目錄
致謝 1
中文摘要 3
Abstract 4
目錄 5
圖目錄 6
表目錄 7
第壹章、 緒論 8
第貳章、 文獻探討 12
第一節 無線網路的頻寬管理 12
第二節 移動模型 14
第參章、 隨機移動模型及其應用 18
第一節 行動隨機位置機率分佈 18
一、 機率與移動距離的關係 18
二、 機率密度係數正規化 19
第二節 行動隨機位置機率分佈由簡而繁的推導 21
一、 一維空間上的移動機率密度函數 21
二、 二維空間上的移動機率密度函數 22
第三節 平面上的移動模型之應用 27
一、 未考慮移動中的使用者 27
二、 考慮直線移動中的使用者 29
第肆章、 模擬結果與分析 33
第伍章、 結論與未來工作 39
第一節 結論 39
第二節 未來研究方向 39
參考文獻 40

圖目錄
圖一 WiMAX移動架構 14
圖二 隨機模型 15
圖三 曼哈頓網格移動模型 16
圖四 高斯馬可夫移動模型 17
圖五 使用者到達距離的機率 19
圖六 一維空間可隨機移動點移動機率 22
圖七 靜態使用者越出機率 22
圖八 使用者簡單越線率 23
圖九 使用者有向視角 23
圖十 使用者有向視角的例子 24
圖十一 使用者分部越線率 25
圖十二 使用者在圓外時的入圓率 26
圖十三 使用者在圓內的越圓率 26
圖十四 圓內任一點時的越圓率 27
圖十五 使用者在兩基地台移交的機率 28
圖十六 使用入圓率計算漁船進入基地台可通訊範圍的機率 28
圖十七 蜂巢式網路中的移交機率 29
圖十八 直線移動中的移交率 30
圖十九 點移動到 點時， 的可通訊半徑 之間的關係距離 32
圖二十 模擬環境 35
圖二十一 類別I流量在四個機制的阻斷率 36
圖二十二 類別I和II移交在四個機制的阻斷率 36
圖二十三 類別I流量在四個機制的連接中斷機率 37
圖二十四 類別I和II流量在四個機制的連接中斷機率 37
圖二十五 四個機制的頻寬利用比較 38

表目錄
表一未知位置但距離可測WiMax與WiFi之移交機率 31
表二 用在模擬的多媒體流量參數 34

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