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研究生: 江衍能
Yen-Neng Chiang
論文名稱: 災後行動通訊網路的多場景服務資源分配
A Novel Service Resource Allocation in Post-disaster Mobile Communication Network
指導教授: 馬奕葳
Yi-Wei Ma
口試委員: 陳俊良
Jiann-Liang Chen
楊竹星
Chu-Sing Yang
黎碧煌
Bih-Hwang Lee
學位類別: 碩士
Master
系所名稱: 電資學院 - 電機工程系
Department of Electrical Engineering
論文出版年: 2023
畢業學年度: 111
語文別: 英文
論文頁數: 58
中文關鍵詞: 行動通訊網路災後高負載網路資源分配QoS服務
外文關鍵詞: Mobile Communication Network, Post-Disaster High-Load Network, Resource Allocation, QoS Service
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  • 隨著網路科技急遽的進步與發展,網際網路在傳輸速率上有著大幅度的提升,但儘管如此,遇到自然災害或緊急通訊發生時,仍有可能會造成網路系統基礎設施意外損害,進而導致網路資源負載過高。為了能夠對災後網路系統壅塞做出更良好的網路資源管理,並有效提升整體用戶的QoS服務。本研究將在災後高負載網路的情況下,透過發生的災難事件以及網路資源的變化等資訊,找出符合當下條件之場景,並藉由多場景以最適化調配網路資源。在用戶需求遠大於網路資源所能供給量,有限資源會最大化給予緊急安全用戶做救災使用。並隨著網路負載量逐漸降低時,會依照設備可用資源做調整與分配不同優先層級給其餘用戶,以達到最大化的用戶乘載。實驗結果顯示,在Stage 1,讓ESU人員能優先獲取最多網路資源,其中GU class1 下降至 19.55Mbps,而ESU class1增加至9.87Mbps、ESU class2增加至5.01Mbps、ESU class3增加至4.67Mbps。而在Stage 3,優先確保所有用戶(ESU及GU)進行通訊服務(class 1),ESU class2 下降至 4.61Mbps、ESU class3 下降至 9.61Mbps、GU class1增加至14.22Mbps。


    With the rapid advancement and development of networking technologies, the Internet has seen significant improvements in transmission speeds. However, despite these advancements, natural disasters or emergencies can still lead to unexpected damages to the network infrastructure, resulting in an overload of network resources. In order to better manage network resource congestion in post-disaster network systems and effectively improve the overall Quality of Service (QoS) for users, this study aims to identify appropriate scenarios based on the occurrence of disasters and changes in network resources in post-disaster high-load networks. It will optimize the allocation of network resources through various scenarios. In situations where user demand far exceeds available network resources, limited resources are maximized for emergency and security users involved in disaster relief efforts. As the network load gradually decreases, adjustments and allocations to other users are made based on the available resources of the devices, taking into account different priority levels, to maximize user capacity. Based on the experimental results, it is shown that in Stage 1, where ESU personnel are given priority to access the maximum network resources, GU class1 throughput decreased to 19.55 Mbps, while ESU class1 throughput increased to 9.87 Mbps, ESU class2 throughput increased to 5.01 Mbps, and ESU class3 throughput increased to 4.67 Mbps. In Stage 3, where the priority is to ensure communication services for all users (ESU and GU) in class 1, ESU class2 throughput decreased to 4.61 Mbps, ESU class3 throughput decreased to 9.61 Mbps, and GU class1 throughput increased to 14.22 Mbps .

    摘要 I Abstract II Acknowledgment III LIST OF FIGURES VII LIST OF TABLES IX Chapter 1 Introduction 1 1.1 Motivation 1 1.2 Contribution 3 1.3 Chapter Structure 4 Chapter 2 Background and Related Work 5 2.1 Background 5 2.1.1 Mobile Communication Network 5 2.1.2 5th Generation Mobile Networks(5G) 7 2.1.3 QoS Service 9 2.1.4 5G QoS Identifier(5QI) 12 2.1.5 Queue Management 14 2.2 Related Work 14 Chapter 3 Proposed System 19 3.1 Supervisory and Control Layer 20 3.1.1 Resource Monitor 21 3.1.2 Environment Collection 23 3.1.3 Execution 24 3.2 Dynamic Analysis Layer 25 3.2.1 Analysis 25 3.2.2 Scene Decision 27 3.3 Optimal Decision-Making Layer 30 3.3.1 Service Priority Schedule 30 3.3.2 User Service Distribution 32 3.3.3 Service Quality Adjustment 33 Chapter 4 Performance Analysis 35 4.1 Experimental Environment 35 4.2 Experimental Parameters 36 4.3 Experimental Analysis and Verification 36 4.3.1 User Service Ratio 36 4.3.2 End-to-End Delay 38 4.3.3 Throughput 40 4.3.4 Service Quality 42 Chapter 5 Conclusions and Future Works 44 5.1 Conclusion 44 5.2 Future Work 45 References 46

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