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A Stochastic Geometry Model for Multi-hop Highway Vehicular Communication

机译:多跳公路车辆通信的随机几何模型

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摘要

Carrier sense multiple access (CSMA) protocol is standardized for vehicular communication to ensure a distributed and efficient communication between vehicles. However, several vehicular applications require efficient multi-hop information dissemination. This paper exploits stochastic geometry to develop a tractable and accurate modeling framework to characterize the multi-hop transmissions for vehicular networks in a multi-lane highway setup. In particular, we study the tradeoffs between per-hop packet forward progress, per-hop transmission success probability, and spatial frequency reuse (SFR) efficiency imposed by different packet forwarding schemes, namely, most forward with fixed radius (MFR), the nearest with forward progress (NFP), and the random with forward progress (RFP). We also define a new performance metric, denoted as the aggregate packet progress (APP), which is a dimensionless quantity that captures the aforementioned tradeoffs. To this end, the developed model reveals the interplay between the spectrum sensing threshold (th) of the CSMA protocol and the packet forwarding scheme. Our results show that, in contrary to ALOHA networks which always favor NFP, MFR may achieve the highest APP in CSMA networks if th is properly chosen.
机译:载波侦听多路访问(CSMA)协议已标准化用于车辆通信,以确保车辆之间的分布式高效通信。然而,一些车辆应用需要有效的多跳信息传播。本文利用随机几何结构开发了一种易于处理且准确的建模框架,以表征多车道高速公路设置中车辆网络的多跳传输。特别是,我们研究了每跳数据包转发进度,每跳传输成功概率和不同数据包转发方案所强加的空间频率重用(SFR)效率之间的折衷,即,最远的固定半径(MFR),最近的转发前向进度(NFP)和随机前向进度(RFP)。我们还定义了一个新的性能指标,称为总数据包进度(APP),它是一个无量纲的量,可以捕获上述折衷。为此,开发的模型揭示了CSMA协议的频谱感知阈值(th)与数据包转发方案之间的相互作用。我们的结果表明,与始终偏爱NFP的ALOHA网络相反,如果选择正确的话,MFR可能会在CSMA网络中获得最高的APP。

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