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基于開源仿真器的蜂窩V2X的性能分析
2020年電子技術(shù)應(yīng)用第6期
譚安祖1,余 曼1,翁文勇2,戴美權(quán)1,陳 達(dá)1,余 澤1
1.溫州醫(yī)科大學(xué)附屬眼視光醫(yī)院 信息管理處,浙江 溫州325000; 2.浙江大學(xué)城市學(xué)院 計(jì)算機(jī)與計(jì)算科學(xué)學(xué)院,浙江 杭州310000
摘要: 僅通過車輛傳感器在高速公路上實(shí)現(xiàn)自動駕駛是可能的,但是在復(fù)雜的城市環(huán)境中實(shí)現(xiàn)自動駕駛?cè)源嬖谔魬?zhàn)。而蜂窩車聯(lián)網(wǎng)(Cellular-Vehicle to Everything,C-V2X)是應(yīng)對此挑戰(zhàn)的有效技術(shù),其也引起了廣泛關(guān)注。然而,目前C-V2X模式4沒有開源的仿真軟件。為此,基于離散事件網(wǎng)絡(luò)仿真軟件NS-3,提出開源的C-V2X模式4的仿真軟件。構(gòu)建了最擁塞的場景和基于微交通仿真器SUMO產(chǎn)生的城市Manhattan網(wǎng)格場景,進(jìn)而分析仿真器的性能。同時,分析了資源分配間隔和資源重選率對數(shù)據(jù)包接收率的影響。
中圖分類號: TN926
文獻(xiàn)標(biāo)識碼: A
DOI:10.16157/j.issn.0258-7998.200216
中文引用格式: 譚安祖,余曼,翁文勇,等. 基于開源仿真器的蜂窩V2X的性能分析[J].電子技術(shù)應(yīng)用,2020,46(6):93-96.
英文引用格式: Tan Anzu,Yu Man,Weng Wenyong,et al. Performance analysis of cellular-V2X based on open source simulator[J]. Application of Electronic Technique,2020,46(6):93-96.
Performance analysis of cellular-V2X based on open source simulator
Tan Anzu1,Yu Man1,Weng Wenyong2,Dai Meiquan1,Chen Da1,Yu Ze1
1.Information Management Office,Eye Hospital,Wenzhou Medical University,Wenzhou 325000,China; 2.Computer Science and Engineering College,Zhejiang University City College,Hangzhou 310000,China
Abstract: While autonomous driving in highway scenarios is already possible using only the vehicles sensors, auto nomous driving in the complex scenarios of big cities with all its different trafic participants is still a vision. Cellular vehicle-to-everything(C-V2X) communication is a necessary enabler of this vision and an emerging field of interest in today′s research. However, to the best of our knowledge open source simulators essential for open research do not exist yet. In this work we present our open source C-V2X mode 4 simulator based on the discrete-event network simulator NS-3. To analyze the performance of C-V2X mode 4 using our simulator, we created a worst case scenario and the 3GPP reference Manhattan grid scenario using the microscopic traffc simulator SUMO. In addition, we investigated the impact of the resource reservation period and the resource reselection probability on the system′s packet reception ratio.
Key words : cellular-V2X;5G;vehicular communication;simulator;open source

0 引言

    V2X(Vehicle-to-Everything)已成為智能網(wǎng)聯(lián)汽車實(shí)現(xiàn)與外界實(shí)體通信的關(guān)鍵技術(shù)[1],包括基礎(chǔ)設(shè)施、行人以及外網(wǎng)。目前主要有專用短程通信(Dedicated Short-Range Communication,DSRC)[2]和基于蜂窩通信(Cellular V2X,C-V2X)兩個標(biāo)準(zhǔn)。而C-V2X包括LET-V2X和5G-V2X。




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作者信息:

譚安祖1,余  曼1,翁文勇2,戴美權(quán)1,陳  達(dá)1,余  澤1

(1.溫州醫(yī)科大學(xué)附屬眼視光醫(yī)院 信息管理處,浙江 溫州325000;

2.浙江大學(xué)城市學(xué)院 計(jì)算機(jī)與計(jì)算科學(xué)學(xué)院,浙江 杭州310000)

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