论文标题
继电器覆盖范围的推导范围的附录细节（本文中的第四节：“基于泊松线过程的框架，用于确定所需的RSU密度和车辆网络中的啤酒花''）
ADDENDUM Details of the Derivation of the Probability of Coverage for the Relaying Scheme (Section IV in the paper: "A Poisson Line Process based Framework for Determining the Needed RSU Density and Relaying Hops in Vehicular Networks'')
论文作者
论文摘要
本文开发了一个框架，以研究由车辆和道路侧单元（RSUS）组成的车辆网络中的多跳接力，以及该中继对网络覆盖范围和通信延迟的影响。我们使用一个随机几何模型，该模型由Poisson Line Process（PLP）和1D Poisson Point Process（PPP）组成，以可靠地描述车辆网络布局以及车辆和RSUS的位置。使用此模型，我们分析了不同网络参数对RSUS对车辆提供的覆盖范围的影响。然后，我们研究了发现的车辆如何通过将它们连接到RSUS的多个啤酒花将其传递的预期数据包来接收其预期的数据包。我们还分析了由于多跳继电器而引起的数据包传递的延迟。也就是说，我们提出的结果说明了通过多跳继电器和引起的延迟获得的覆盖率收益。网络规划师和运营商可以使用此类结果来决定车辆网络的不同配置和操作参数，以适合特定方案和目标。
This paper develops a framework to study multi-hop relaying in a vehicular network consisting of vehicles and Road Side Units (RSUs), and the effect of this relaying on the network coverage and the communication delay. We use a stochastic geometry model that consists of a combination of Poisson Line Process (PLP) and 1D Poisson Point Process (PPP) to reliably characterize the vehicular network layout and the locations of the vehicles and the RSUs. Using this model, we analyze the effect of the different network parameters on the coverage provided by the RSUs to the vehicles. Then, we investigate how the uncovered vehicles can receive their intended packets by relaying them through multiple hops that form connected paths to the RSUs. We also analyze the delay introduced to packet delivery due to multi-hop relaying. Namely, we present results that illustrate the coverage gains achieved through multi-hop relaying and the delays induced. Such results could be used by network planners and operators to decide on the different configurations and operational parameters of the vehicular network to suit particular scenarios and objectives.
