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研究生: 吳爭
Wu, Zheng
論文名稱: 車載網路中一對多資源分配策略之研究
One-to-Many Resource Sharing Strategy for Vehicular Networks
指導教授: 張志文
Chang, Chih-Wen
學位類別: 碩士
Master
系所名稱: 電機資訊學院 - 電腦與通信工程研究所
Institute of Computer & Communication Engineering
論文出版年: 2018
畢業學年度: 106
語文別: 英文
論文頁數: 40
中文關鍵詞: V2XV2IV2V資源分配容量-連結邊界
外文關鍵詞: V2X, V2I, V2V, resouerce sharing, capacity-link frontier
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  • 本文中,我們處理了V2I跟V2V共存網路下一對多的問題。特別是V2I連結可以分享資源給多個V2V連結做使用。在V2I連結的觀點,我們希望最大化整體的通道傳輸量:然而在V2V的觀點下,連結的穩定度需要被滿足。為了有效的計算這兩個對立的目標,我們定義了容量連結邊界去量化對偶目標最佳化問題。為了外推邊界,我們提出三種一對多資源分配演算法。重模擬結果我們證實了演算法可以有顯著的效果。

    In this paper, we tackle the problem of one-to-many resource sharing between vehicle-to-infrastructure (V2I) and vehicle-to-vehicle (V2V) networks. Specifically, the resource of one V2I link can be shared with multiple V2V links. On the aspect of V2I link, the goal is to maximize the sum capacity; whereas, on the aspect of V2V link, link reliability should be guaranteed. To well evaluate these two contradictory goals, the capacity-link frontier is defined to quantize the performance of the dual-objective optimization problem. To out-push the frontier, three one-to-many resource sharing algorithms are proposed. The simulation results verify the remarkable effectiveness of the proposed algorithms.

    Chinese Abstract i English Abstract ii Acknowledgements iii Contents iv List of Tables vi List of Figures vii Glossary of Symbols viii Glossary of Acronyms x 1 Introduction 1 1.1 Motivation and Problem Formulation . . . . . . . . . . . . . . . . . . . 1 1.2 Thesis Outline . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3 2 Background and Literature Survey 4 2.1 D2D . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4 2.2 V2V . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5 2.3 Literature Survey . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5 3 System Model and Problem Formulation 8 3.1 System Description . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8 3.2 Problem Description . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9 4 One-to-Many Resource-Sharing Strategy 12 4.1 Transmission Power Control . . . . . . . . . . . . . . . . . . . . . . . . 12 4.2 Capacity Constraint for One-to-Many Match . . . . . . . . . . . . . . . 14 4.3 V2I-First Resource-Sharing Scheme . . . . . . . . . . . . . . . . . . . . 16 iv 4.3.1 V2V-Maximum Resource-Sharing Scheme . . . . . . . . . . . . 18 4.4 Cost-Minimum Resource-Sharing Scheme . . . . . . . . . . . . . . . . . 20 4.5 Hungarian . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 21 5 Numerical and Simulation Results 25 5.1 Capacity-Link Frontier by Varying p0 . . . . . . . . . . . . . . . . . . . 25 5.2 Capacity-Link Frontier by Varying r0 . . . . . . . . . . . . . . . . . . . 26 5.3 Selection Diversity Gain in V2I-First and V2V-Maximum Schemes . . . 26 6 Conclusions 33 Bibliography 34

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