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研究生:許明榕
研究生(外文):Hsu Ming-Jung
論文名稱:具有連結阻塞之分封網路之即時服務的動態優先權化統計多工
論文名稱(外文):Dynamic Prioritized Statistical Multiplexing of Real-Time Services on Packet Networks with Call Blockings
指導教授:鍾順平
指導教授(外文):Chung Shun-Ping
學位類別:碩士
校院名稱:國立臺灣科技大學
系所名稱:電機工程技術研究所
學門:工程學門
學類:電資工程學類
論文種類:學術論文
論文出版年:1998
畢業學年度:85
語文別:中文
中文關鍵詞:連結阻塞動態優先權化統計多工
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本論文探討具有連結阻塞之以封包為基礎之網路 (例如以 ATM 為基礎之B-ISDN) 之即時服務 (例如語音及視訊) 之擁塞控制及優先權化統計多工的交互作用。本論文考慮一支援即時 ON-OFF 來源之無緩衝器型多工器。根據重要性來分割即時來源資訊成為二資訊流 : 低及高優先權資訊流。高優先權資訊流可獲得高優先權之傳輸以導致遠優於未使用優先權之系統的服務品質。考慮二種優先權方案。第一種方案使用不同服務品質之獨立通道來傳輸低及高優先權資訊流。第二種方案則使用單一通道及一選擇性封包捨棄程序﹐而該選擇性封包捨棄程序意圖限制封包喪失於低優先權資訊流。封包喪失對於品質之影響是藉由轉換低及高優先權封包喪失成為訊號及重建雜訊比值來加以量化。本論文同時考慮靜態及動態環境。在靜態環境中﹐連結之數目是固定的﹐而在動態環境中﹐連結之數目由於連結之隨機抵達及結束而會變動。首先本論文解出靜態環境之來源資訊及通道容量的最佳分配。接著﹐本論文比較﹐在動態環境中﹐資訊來源及通道容量之動態分配及固定分配﹐且顯示在許多情形中動態分配可產生遠優於固定分配之訊號雜訊比值。

The interaction of congestion control and prioritized statistical multiplexing for real-time services (e.g., voice and video) in cell-based networks (e.g., B-ISDN based on ATM) with call blockings is studied. Focus on a bufferless mu-ltiplexer supporting real-time ON-OFF sources. Real-time source information is divided into two streams, low- and high-priority streams, in accordance with importance. Favored transport is given to high-priority stream resulting in s-ignificantly better QoS than unprioritized system. Two prioritization schemes are considered. In the first approach, independent channels of different QoS are used to transport low- and high-priority streams. In the second approach, a single channel is used in conjunction with a selective packet discarding pr-ocedure which means to limit packet loss to low-pritority stream. The effect of packet loss on quality is quantified by relating low- and high-priority pa-cket loss to signal-to-reconstruction-noise ratio (SNR). Both static and dyna-mic scenarios are studied. In the static scenario, the number of calls are fi-xed; while in the dynamic case, the number of calls are varying due to call r-andom arrivals and terminations. Firstly, the optimal allocation of source in-formation and channel capacity in the static scenario is found. Secondly, the dynamic allocation of source information and channel capacity are compared to the fixed allocation, and it is shown that the dynamic allocation could achie-ve much better SNR than the fixed allocation in many cases.

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