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完整後設資料紀錄
DC 欄位 | 值 | 語言 |
---|---|---|
dc.contributor.advisor | 陳光禎(Kwang-Cheng Chen) | |
dc.contributor.author | Shao-Chou Hung | en |
dc.contributor.author | 洪紹洲 | zh_TW |
dc.date.accessioned | 2021-06-16T09:21:18Z | - |
dc.date.available | 2017-08-25 | |
dc.date.copyright | 2017-08-25 | |
dc.date.issued | 2017 | |
dc.date.submitted | 2017-06-29 | |
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dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/59354 | - |
dc.description.abstract | 為了在異質車用網路當中達到 10 微秒乃至於更低的延遲,網路功
能虛擬化被認為是最有潛力的解決方案。藉由虛擬化整個網路,所有 的異質資源可以被整合進一個統一平台上使得網路資源的管理更有效 率。另一方面,資源虛擬化網路資源也可以讓不同的服務提供者可以 互相分享彼此的網路資源從而增加資源的使用效率。特別是無線網路 當中的稀有資源,例如能量以及頻譜的使用效率可以獲得改進。 然而,網路虛擬化必須仰賴在網路中的集中式網路管理器。所有的 網路訊息都必須回傳至這個網路管理器。藉由利用這些網路訊息,網 路管理器才可以做出最佳化的資源切割方式,並分配下去以滿足各個 網路個體的服務品質要求。在無線車用網路當中,由於車子的移動速 度快,這會造成網路環境急速的變化。如果要維持最佳化的管理方式, 頻繁的交換網路訊息是不可避免的。否則,整體的網路的管理會依據 在過期的訊息上使得整體網路的使用效率下降。然而,純粹的依賴控 制訊號的交換代表了有大量的網路資源必須消耗在傳送控制訊號上。 在需要及低延遲的車用網路當中,這些控制訊號不一定對提升延遲表 現有所幫助。 在這篇論文當中,我們主要探討在虛擬化異質車用網路當中,延遲 表現以及控制訊號之間的表現交換問題。我們會先介紹在整個異質化 車用網路的系統架構,特別是用於無人駕駛車的場景。然後在這個網 路架構當中,我們會討論三種不同的情境:車用網路連結、邊緣網路 連結、以及雲端網路連結。並在這三種情境當中,我們探討最佳化的 資源切割所能達到的最佳化延遲表現以及控制訊號之間該如何取捨的 問題。在每個情境中,我們都有提出演算法已達到這最佳化的取捨。 | zh_TW |
dc.description.abstract | To support 10ms or further lower latency in future autonomous heterogeneous vehicular network, network function virtualization (NFV) is regarded as the most powerful control mechanism. By virtualizing all the network entities, all the heterogeneous resources can be integrated into a unified platform and improve the management efficiency. On the otherhand,virtualizingnetworkresourcesallowsalltheserviceproviders share their own network resources to further achieve better resource utilization efficiency. Especially the limited resources in wireless network, e.g., energy and spectrum efficiency can be improved significantly. However, the success of NFV relies on the centralized controllers in the network. All the network information should be feedback to this centralized controller. By exploiting these information, the network controllers can make the best decision to slice the network resources and allocate them to the network entities to satisfy their service requirements. In the wireless networks, especially the vehicular network, all the end devices move with a fast speed, which results in that environmentofthenetworkschangesfast. Duetothisfastvariation,anoptimal network management may be out-of-dated just after a short period of time. To tackle this problem, the most intuitive approach is to increase the exchange rates of the control signals. Even though this approach can help network controller obtain the last information about the network, however, all the network resources are consumed by transmitting these control signals. Whether, this approach really helps to improve
the network performance is still a question. In this dissertation, we therefore discuss about the tradeoff between the delay performance and the utilization of the control signals in the virtualized heterogeneous vehicular network. We first introduce the network architecture of the virtualized heterogenous vehicular network for the autonomous vehicles. Then, under this network architecture, we discuss about the tradeoff between the performance of resource slicing and control signals exchanges in three different application scenarios: on-board connection, edge connection and cloud connection. In each scenario, we propose our algorithm to allow the end devices, e.g. the autonomous vehicles, to request for more network resource while simultaneously minimize the control signals exchanges. These algorithms are also proved to be able to reach the best performance tradeoff. | en |
dc.description.provenance | Made available in DSpace on 2021-06-16T09:21:18Z (GMT). No. of bitstreams: 1 ntu-106-D02942008-1.pdf: 4102205 bytes, checksum: 51ed9179c004163a442d011feb1212cc (MD5) Previous issue date: 2017 | en |
dc.description.tableofcontents | 中文摘要...ii
Abstract...iii 1 Introduction...1 1.1 Background: The Challenges in Future Autonomous Vehicular Networks... 1.1.1 Introduction to Current Vehicular Network...1 1.1.2 Autonomous Vehicular Network: Ultra-Low Response Time...3 1.2 The Architecture of Future Vehicular Network...4 1.2.1 What is Cloud Radio Access Network?...4 1.2.2 What is Fog Network?...7 1.3 Management of Heterogeneous Network: Network Function Virtualization...9 1.4 Information is Savior or Killer for Virtual Heterogeneous Vehicular Network...12 1.5 Achievement Summary of the Dissertation...14 2 Network Association in Virtualized Heterogeneous Network...15 2.1 Overviews...17 2.2 Related Works...22 2.3 System Model...24 2.3.1 The Cost of Network Connection...24 2.3.2 Network Model...25 2.3.3 Queue Model for Device Mobility...28 2.3.4 Queueing Model of Data...30 2.3.5 Minimal Required APs Network Density...32 2.4 Scenario Only With Horizontal Association...34 2.4.1 Problem Formulation...34 2.4.2 Proposed Horizontal Network Association...35 2.5 Scenario With Horizontal and Vertical Association...39 2.5.1 Problem Formulation...39 2.5.2 Virtual Utilization Queue...40 2.5.3 Proposed Horizontal and Vertical Network Association...41 2.6 Delay Violation Probability...45 2.7 Design Guideline of Horizontal and Vertical Network Association...47 2.8 Performance of Network Association Scheme...49 2.8.1 Simulation Result...49 2.8.2 Simulation with Real Mobility Data...52 2.9 Discussion...57 3 Vehicle-Centric Approach to Achieve Low Latency in Vehicle-to-Vehicle Networks...59 3.1 Overviews...60 3.2 Related Works...63 3.2.1 Small and Virtual Cell Technology...63 3.2.2 Proactive Network Switching...64 3.3 System Model...65 3.3.1 Network and Channel Model...65 3.3.2 Non-Outage Probability...67 3.3.3 One-Way Access Control...68 3.4 Problem Formulation...71 3.4.1 Dynamic Fairness Maximization Problem...71 3.4.2 Condition for the Existence of Solution...73 3.4.3 Re-Allocation Rate Constraint...74 3.4.4 Network Switching Rate Constraints...76 3.5 Proposed Algorithm...80 3.5.1 Virtual Queue...80 3.5.2 Lyapunov Optimization Based Approach...82 3.6 Violation Analysis...87 3.7 Simulation Result...90 3.7.1 Latency and Fairness...90 3.7.2 Re-Allocation...91 3.7.3 Network Switching...91 3.7.4 Delay Violation...94 3.8 Discussion...97 4 Resource Slicing for Directly-Communication in Virtual Vehicular Network...98 4.1 Overviews...99 4.2 Network Architecture...102 4.3 System Model...104 4.3.1 System Model Description...104 4.3.2 Interference Model...105 4.4 Resource Block Efficiency Comparison...110 4.5 Problem Formulation...113 4.6 Proposed Algorithm...114 4.6.1 Intra virtual network allocation...114 4.6.2 Inter virtual network allocation...116 4.7 Simulation Results...118 4.8 Conclusion...120 5 Future Works & Summary...122 5.1 Future Works: Directly Communication in Downlink Scenario...122 5.2 Summary...123 Bibliography...125 | |
dc.language.iso | en | |
dc.title | 在異質虛擬化的自動車用網路中之資源切割以及相對應的延遲交換 | zh_TW |
dc.title | Resource Slicing and Latency Tradeoff in Virtual Heterogeneous Vehicular Networ | en |
dc.type | Thesis | |
dc.date.schoolyear | 105-2 | |
dc.description.degree | 博士 | |
dc.contributor.oralexamcommittee | 謝續平,闕志達,鄭瑞光,林風,林嘉慶 | |
dc.subject.keyword | 虛擬化,車用網路,資源切割,異質網路, | zh_TW |
dc.subject.keyword | virtualization,vehicular network,resource slicing,heterogeneous network, | en |
dc.relation.page | 138 | |
dc.identifier.doi | 10.6342/NTU201701196 | |
dc.rights.note | 有償授權 | |
dc.date.accepted | 2017-06-29 | |
dc.contributor.author-college | 電機資訊學院 | zh_TW |
dc.contributor.author-dept | 電信工程學研究所 | zh_TW |
顯示於系所單位: | 電信工程學研究所 |
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