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研究生: 吳明儒
Wu,Ming-Ju
論文名稱: Performance Analysis of IEEE 802.11e EDCA
IEEE 802.11e 進階分散存取之效能分析
指導教授: 蔡子傑
Tsai,Tzu-Chieh
學位類別: 碩士
Master
系所名稱: 理學院 - 資訊科學系
論文出版年: 2005
畢業學年度: 93
語文別: 英文
論文頁數: 55
中文關鍵詞: 進階分散存取802.11e服務品質允入控制媒介存取層
外文關鍵詞: EDCA, 802.11e, QoS, CAC, MAC
相關次數: 點閱:201下載:32
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  • 為了進一步支援無線網路上的服務品質(QoS),IEEE 802.11e通訊協定目前正在制訂中。其提供兩種媒介存取方式,一為基礎的進階分散存取(EDCA),另一種是建構在進階分散存取下的混合控制存取(HCCA)。802.11e中,藉由不同的訊框間隔(IFS)與競爭視窗(CW)相關參數的設定以區隔不同的存取等級(AC)。為了在802.11e網路下進一步的發展有效的服務品質管理機制,我們提出了一個數學模型以分析在進階分散存取網路下所使用的頻寬與媒體存取層所延遲的時間。在這個模型下,每個站台可以支援多個不同等級的資料流(聲音/影音與資料)。透過這個數學模型,允入控制與資源管理可以很容易實現,也可以支援不同應用程式的不同需求。


    For supporting Quality of Service (QoS) for wireless networks, the IEEE 802.11 Task Group E currently defines enhancements to the IEEE 802.11 MAC, called 802.11e. The IEEE 802.11e provides two mechanisms for the support of applications with QoS requirements, namely, Enhanced Distributed Channel Access (EDCA) and HCF Controlled Channel Access (HCCA). EDCA mechanism defines four access categories (ACs) that provide support for the delivery of traffic with user priorities. Different AC uses various Inter-Frame Space (IFS) and Contention Window (CW) parameters. In order to further develop efficient QoS management for the IEEE 802.11e networks, we propose an analytical model to evaluate throughput and MAC delay of the basic access method of the IEEE 802.11e - EDCA. Our Markov chains consider the situation of different multimedia (voice/video and data) traffic flows in a mobile station. This is improved from previous work, and closer to real usage scenarios. The correctness of our analysis has been validated via simulation results. Throughout our model, call admission control (CAC) and resource management can be easily applied, and thus QoS for hybrid requirements is supported.

    CHAPTER 1 Introduction 1
    1.1. Background 2
    1.1.1. The DCF of the IEEE 802.11 MAC Protocol 3
    1.1.2. The EDCA of the IEEE 802.11e MAC Protocol 6
    1.2. Motivation 11
    1.3. Organization 12
    CHAPTER 2 Related Work 13
    2.1. Performance Studies about DCF 13
    2.2. Performance Studies about EDCA 15
    CHAPTER 3 EDCA Markov Chain Model 18
    3.1. Model Assumption 18
    3.2. Model Introduction 19
    3.3. Markov Chain State 23
    3.4. Transition Probability Matrix 25
    3.5. Throughput and Delay Calculation 38
    CHAPTER 4 Model Validation 44
    4.1. Parameters 44
    4.2. Scenario & Result 45
    4.2.1. Scenario1 46
    4.2.2. Scenario2 48
    4.2.3. Scenario3 49
    4.2.4. Scenario4 50
    CHAPTER 5 Call Admission Control 51
    CHAPTER 6 Conclusions and Future Work 53

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