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| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 魏宏宇 | zh_TW |
| dc.contributor.advisor | Hung-Yu Wei | en |
| dc.contributor.author | 游景恩 | zh_TW |
| dc.contributor.author | Jing-En Yu | en |
| dc.date.accessioned | 2025-08-20T16:28:15Z | - |
| dc.date.available | 2025-08-21 | - |
| dc.date.copyright | 2025-08-20 | - |
| dc.date.issued | 2025 | - |
| dc.date.submitted | 2025-08-06 | - |
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MobiCom ’16. New York, NY, USA: Association for Computing Machinery, 2016, p. 202–215. [Online]. Available: https://doi.org/10.1145/2973750.2973751 [22] IETF, rfc9002: QUIC Loss Detection and Congestion Control. https://datatracker.ietf.org/doc/html/rfc9002, May 2021. [23] quic go, quic-go. http://github.com/quic-go/quic-go, 2019. | - |
| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/98967 | - |
| dc.description.abstract | 對於基於 B5G 或 6G 的自動化鐵路通訊系統而言，同時滿足乘客的安全需求與個人偏好至關重要，而這通常涉及大量資料檔案的傳輸。然而，當列車高速行駛時，5G 非獨立組網中的頻繁換手事件可能嚴重影響傳輸效能，導致封包遺失率與延遲增加。
為了解決此挑戰，我們首先在台北捷運的 5G 網路環境中進行了大量實地測量，分析各類換手事件對資料傳輸的影響。透過這些分析，我們找出幾個在換手期間對傳輸效能影響最顯著的關鍵成功因子。 基於這些洞察，我們設計了一套邊緣運算系統，整合無線電鏈路失效（Radio Link Failure, RLF）預測模型以及增強型壅塞控制演算法 Reno-HO。該系統能根據預測到的 RLF 動態調整壅塞視窗，以維持傳輸穩定性，並提升吞吐量與實際有效傳輸率。 我們透過實際場域實驗與網路模擬驗證了所提出的方法。結果顯示，此方法能有效減緩換手事件所造成的負面影響，並顯著提升高速鐵路環境中的資料傳輸效能。 | zh_TW |
| dc.description.abstract | For an automatic railway communication system based on Beyond 5G (B5G) or 6G, satisfying passengers safety issues and preferences are both crucial, which involves large data file transmission. However, when trains operate at high speed, frequent handover events in 5G NSA networks can severely degrade transmission performance, increasing both packet loss and latency. To address this challenge, we first conducted extensive measurements on the Taipei Metro 5G network to analyze the impact of various handover events on data transmission. Through this analysis, we identified key success factors (KSFs) that most strongly influence performance during handovers. Based on these insights, we designed an edge computing system that incorporates a Radio Link Failure (RLF) prediction model and an enhanced congestion control algorithm, Reno-HO. By dynamically adjusting the congestion window (CWND) in response to predicted RLFs, our system aims to maintain transmission stability and improve throughput and goodput. We validated the proposed approach through both real-world experiments and network emulation. The results demonstrate that our method can effectively mitigate the negative effects of handovers and significantly enhance data transmission performance in high-speed railway environments. | en |
| dc.description.provenance | Submitted by admin ntu (admin@lib.ntu.edu.tw) on 2025-08-20T16:28:15Z No. of bitstreams: 0 | en |
| dc.description.provenance | Made available in DSpace on 2025-08-20T16:28:15Z (GMT). No. of bitstreams: 0 | en |
| dc.description.tableofcontents | 口試委員會審定書 i
誌謝 ii 摘要 iii Abstract iv Contents v List of Figures vii List of Tables viii Chapter 1. Introduction 1 Chapter 2. Related Works 5 2.1 5G Measurements ......................... 5 2.2 CCA Enhancements ........................ 6 2.3 Real-World Validation ....................... 7 Chapter 3. 5G NSA Handover 11 3.1 Handover Effect .......................... 11 3.2 Handover Classification ...................... 13 3.3 Handover Analysis ......................... 14 3.4 QUIC Handover Profile ....................... 15 Chapter 4. System Design 19 4.1 Scenario .............................. 19 4.2 SystemArchitecture ........................ 19 4.3 EmulatorSettings.......................... 22 4.4 QoEMetrics ............................ 23 Chapter 5. Proposed Method 25 5.1 Objective Functions ........................ 25 5.2 Workflow .............................. 26 5.3 Prediction Model .......................... 27 5.4 Modified Reno Algorithm: Reno-HO ............... 29 Chapter 6. Experiment Results 35 6.1 Experiment Settings ........................ 35 6.2 Emulator Performance ....................... 36 6.2.1 Latency CDF ............................ 37 6.2.2 Latency when RLF Occurred .................... 38 6.2.3 QUIC Throughput ......................... 39 6.3 CWND Changes .......................... 40 6.4 Throughput Improvements..................... 40 6.4.1 Real-world Experiment ....................... 41 6.4.2 Emulation .............................. 42 6.5 Goodput Improvements....................... 43 6.5.1 Real-world Experiment ....................... 43 6.5.2 Emulation .............................. 44 Chapter 7. Conclusions 47 Bibliography 49 | - |
| dc.language.iso | en | - |
| dc.subject | 第五代非獨立組網 | zh_TW |
| dc.subject | 網路測量 | zh_TW |
| dc.subject | 邊緣運算 | zh_TW |
| dc.subject | 移動性 | zh_TW |
| dc.subject | 換手預測 | zh_TW |
| dc.subject | 無線鏈路失效 | zh_TW |
| dc.subject | 壅塞控制 | zh_TW |
| dc.subject | 吞吐量 | zh_TW |
| dc.subject | 實際有效傳輸率 | zh_TW |
| dc.subject | QUIC | zh_TW |
| dc.subject | mobility | en |
| dc.subject | handover prediction | en |
| dc.subject | 5G NSA | en |
| dc.subject | network measurement | en |
| dc.subject | edge computing | en |
| dc.subject | QUIC | en |
| dc.subject | goodput | en |
| dc.subject | throughput | en |
| dc.subject | congestion control | en |
| dc.subject | Radio Link Failure | en |
| dc.title | 應用於第五代非獨立地鐵通訊網路之基於換手預測的 QUIC 強化設計 | zh_TW |
| dc.title | QUIC Enhancement of 5G NSA Metro Railway Networks with Handover Prediction | en |
| dc.type | Thesis | - |
| dc.date.schoolyear | 113-2 | - |
| dc.description.degree | 碩士 | - |
| dc.contributor.oralexamcommittee | 蔡華龍;施美如;葉佳宜 | zh_TW |
| dc.contributor.oralexamcommittee | Hua-Lung Tsai;Mei-Ju Shih;Chia-Yi Yeh | en |
| dc.subject.keyword | 第五代非獨立組網,網路測量,邊緣運算,移動性,換手預測,無線鏈路失效,壅塞控制,吞吐量,實際有效傳輸率,QUIC, | zh_TW |
| dc.subject.keyword | 5G NSA,network measurement,edge computing,mobility,handover prediction,Radio Link Failure,congestion control,throughput,goodput,QUIC, | en |
| dc.relation.page | 52 | - |
| dc.identifier.doi | 10.6342/NTU202502250 | - |
| dc.rights.note | 未授權 | - |
| dc.date.accepted | 2025-08-12 | - |
| dc.contributor.author-college | 電機資訊學院 | - |
| dc.contributor.author-dept | 電機工程學系 | - |
| dc.date.embargo-lift | N/A | - |
| 顯示於系所單位： | 電機工程學系 | |
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