| 研究生: |
葉建佑 Yeh, Chien-Yu |
|---|---|
| 論文名稱: |
光分碼多工技術架構下的多媒體都會網路之
最佳化配置 Optimal Configuration of Optical CDMA-based MAN with multimedia Services |
| 指導教授: |
王億富
Wang, Yih-Fuh 黃振發 Huang, Jen-Fa |
| 學位類別: |
碩士 Master |
| 系所名稱: |
電機資訊學院 - 電腦與通信工程研究所 Institute of Computer & Communication Engineering |
| 論文出版年: | 2006 |
| 畢業學年度: | 94 |
| 語文別: | 英文 |
| 論文頁數: | 53 |
| 中文關鍵詞: | 光分碼多工 、最佳化配置 、多媒體 |
| 外文關鍵詞: | optimal configuration, multimedia, optical CDMA |
| 相關次數: | 點閱:222 下載:1 |
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光分碼多工技術已廣泛的討論及應用於區域網路上,本篇論文將重心放在如何將此技術拓展到都會網路上,以及對整體做有效的規劃來改善傳輸效能。
第一章我們會介紹光分碼多工技術的基礎概念,以及在無線領域中廣泛使用於多重速率網路通訊的正交變數展頻因子碼的產生原理與特性。第二個章節是描述如何將光分碼多工架構的區域網路,展開成廣域的都會網路,接著會探討關於此網路上路徑分配與整體傳輸速率的關係。第三章節則是說明如何實現使光分碼多工技術去支援多媒體通訊服務,也就是根據不同的使用者需求來做有效的速率分配,其中包含了系統分配、溝通不同長度的展頻碼,以及如何在光領域支援一些在無線通訊裡被應用的多碼長雙極性正交碼。
第四章會討論如何將抽象的網路路徑規劃,經過量化使得能利用一些演算法去做處理。在此也會介紹基因改良的基因演算法。最後的模擬數據分析,將會證實我們提出的基因改良的基因演算法能有效並優秀的處理本論文的路徑規劃問題,同時也支持了前面的理論。
Optical fiber code-division multiple-access (OCDMA) system has been widely discussed and applied in Local Area Network (LAN). Expending the LAN constructed by OCDMA to optical Metropolitan Area Network (OMAN), and optimal configuration over the network to promote the transmission efficiency will be focused in this paper.
In chapter 1, we will introduce the concept and principle of OCDMA systems and orthogonal-variable-spreading-factor (OVSF) codes, which are commonly applied in wideband CDMA to support multi-rate service. In chapter 2, how to expend LAN constructed by OCDAM to OMAN will be described, also including the relationship of preplanning paths and the efficiency of transmission speed over the network. In chapter 3, existing the implement about multi-rate OCDMA, that is, the negotiation and assignment of CDMA codes, and how to support some multiple-lengths bipolar CDMA codes used in wideband CDMA.
In chapter 4, the abstract conception like paths preplanning, will be formulated to the problem which can be solved by some algorithms. Besides, it is appealed to apply a Genetically Modified Genetic Algorithm (GMGA) on optimal placement of the whole SD (Source-Destination) lightpaths in OMAN. Not only can the algorithm converge to globally optimal solution, but also it solve premature convergence problem efficiently. Simulation results prove that genetic algorithms are efficient and robust for this problem by the contrast with other algorithms and traditional Genetic Algorithm.
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