Analytical Models of the Performance of IEEE 802.11p Vehicle to Vehicle Communications

TL;DR

This paper introduces comprehensive analytical models for IEEE 802.11p vehicular communications that accurately incorporate propagation, interference, and hidden terminal effects, enabling effective performance evaluation without extensive testing.

Contribution

The paper presents the first detailed analytical models that jointly consider propagation, interference, and hidden terminal effects in IEEE 802.11p vehicle-to-vehicle communications.

Findings

Models accurately predict Packet Delivery Ratio as a function of distance.

New models quantify probabilities of different packet error types.

Channel Busy Ratio can be estimated accurately even at high loads.

Abstract

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 new analytical models that accurately model the performance of vehicle-to-vehicle communications based on the IEEE 802.11p standard. The models jointly account for a detailed modeling of the propagation and interference effects, as well as the impact of the hidden terminal problem. 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.