The critical nature of vehicular communications requires their extensive testing and evaluation. Analytical models can represent an attractive and cost-effective approach for such evaluation if they can adequately model all underlying effects that impact the performance of vehicular communications. Several analytical models have been proposed to date to model vehicular communications based on the IEEE 802.11p (or DSRC) standard. However, existing models normally model in detail the MAC (Medium Access Control), and generally simplify the propagation and interference effects. This reduces their value as an alternative to evaluate the performance of vehicular communications. This paper addresses this gap, and presents the first analytical models capable to accurately model the performance of vehicle-to-vehicle communications based on the IEEE 802.11p standard. The model quantifies the PDR (Packet Delivery Ratio) as a function of the distance between transmitter and receiver. The paper also presents new analytical models to quantify the probability of the four different types of packet errors in IEEE 802.11p. In addition, the paper presents the first analytical model capable to accurately estimate the Channel Busy Ratio (CBR) metric even under high channel load levels. All the analytical models are validated by means of simulation for a wide range of parameters, including traffic densities, packet transmission frequencies, transmission power levels, data rates and packet sizes. An implementation of the models is provided openly to facilitate their use by the community.
翻译:分析模型可以代表一种具有吸引力和成本效益的评价方法,如果这些模型能够充分模拟影响车辆通信性能的所有基本效应,则可以作为这种评价的一种具有吸引力和成本效益的方法,如果这些模型能够充分模拟影响车辆通信性能的所有基本效应,迄今已提出若干分析模型,以IEEE 802.11p(或DSRC)标准为基础,模拟车辆通信;然而,现有模型通常以详细模式详细模拟MAC(Medium Access Control),并普遍简化传播和干扰效应;这降低了它们作为评价车辆通信性能的替代方法的价值;本文弥补了这一差距,并提出了能够根据IEEE 802.11p标准准确模拟车辆对车辆对车辆通信性能的第一个分析模型;模型将Packet交付率作为发报机和接收机之间距离的函数;文件还提出了新的分析模型,以量化IEEEE 802.11p中四种不同类型包错误的概率的概率;此外,本文件还提出了第一个分析模型,能够准确估计频道间通信性比度(CBR)标准,即使是在高频道传输频率的传输率下,所有分析模型使用比例数据,提供。