臺灣博碩士論文加值系統

近年來車輛開始擁有連網的能力，從ITS(Intelligent transportation system)
到基於在行動網路的V2V(Vehicule to Vehicule) 通訊，前者隨著基礎設施密度的
增加，成本也會隨之提高，而後者除了沒有上述問題外，對於頻譜的重用到降低
基地台的負載都能有不錯的表現，但在快速移動下，通訊的品質將會受到考驗，
因此高可靠度的傳輸，將會是下個時代車載通訊必須考量的。本研究將以車對車
通訊的概念出發，首先在車對車通訊中將利用既有文獻的mobile to mobile 雙環
通道模型(Double Ring channel Model) 帶入都普勒的效應; 配合短時間內的中斷
機率(Minimum Duration Outage)，提出適合在移動狀態下的QoS 限制，藉此
保證通訊的品質，在這樣的環境下本論文提出在頻率重用時的資源分配演算法，
探討一般車對車通訊透過匈牙利演算法的配置對傳輸量進行效能的分析。

In recent years, vehicles can communicate with others based on either intelligent
transportation systems (ITSs) or the mobile network. With the support of vehicle
to vehicle (V2V) communication of the mobile network, mobile networks have the
advantage on the existing infrastructures and the spectrum reuse to reduce the
load. However, the fast-moving environment is always a challenge by considering
the quality of communication and the reliability of transmission. In this paper,
we analyze the vehicle to vehicle channel, i.e., the double ring channel model,
to discuss the minimum duration outage regarding the relative speed and fading
margin. Based on the analysis, we consider a suitable QoS constraint in a resource
allocation problem of V2V communication and solve the problem by Hungarian
algorithm. The results show that our proposed V2V resource allocation scheme
can improve the capacity and lower the outage probability.

Chinese Abstract i
English Abstract ii
Acknowledgement iii
Contents iv
List of Figures vi
List of Tables viii
1 緒論1
1.1 前言. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1
1.2 文獻回顧. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2
1.3 論文架構. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2
2 相關背景介紹4
2.1 LTE-A 系統架構簡介. . . . . . . . . . . . . . . . . . . . . . . . . . 4
2.2 車對車通訊. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5
2.3 最小區間的中斷機率. . . . . . . . . . . . . . . . . . . . . . . . . . 6
2.4 雙環型通道模型(Double Ring Mobile Channel) . . . . . . . . . . . 10
3 車對車通訊資源共用分配演算法14
3.1 問題模型. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15
3.2 含有移動性通道的最小區間中斷機率. . . . . . . . . . . . . . . . . 18
4 環境架構與數據分析20
4.1 環境架構. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 20
4.1.1 大尺度衰減: WINNER+ . . . . . . . . . . . . . . . . . . . . 20
4.1.2 模擬參數設定. . . . . . . . . . . . . . . . . . . . . . . . . . 22
iv
4.2 移動性通道的最小區間中斷機率分析. . . . . . . . . . . . . . . . . 23
4.3 車對車通訊演算法分析. . . . . . . . . . . . . . . . . . . . . . . . . 28
4.3.1 車對車通訊的傳輸量. . . . . . . . . . . . . . . . . . . . . . 30
4.3.2 車對車通訊的中斷機率. . . . . . . . . . . . . . . . . . . . 31
5 Conclusion 33
Bibliography 34

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