Performance Analysis of Cooperative Communications at Road Intersections Using Stochastic Geometry Tools

TL;DR

This paper develops a stochastic geometry-based framework to analyze cooperative vehicular safety communications at intersections, focusing on interference effects, outage probability, and optimal relay placement under various traffic and mobility conditions.

Contribution

It introduces a tractable analytical model for interference in cooperative VSCs at intersections, including optimal relay positioning and performance insights under different traffic densities and mobility models.

Findings

OP is higher at intersections than on highways.

Optimal relay position depends on traffic density and mobility.

OP does not improve beyond a certain number of relays.

Abstract

Vehicular safety communications (VSCs) are known to provide relevant contributions to avoid congestions and prevent road accidents, and more particularly at road intersections since these areas are more prone to accidents. In this context, one of the main impairments that affect the performance of VSCs are interference. In this paper, we develop a tractable framework to model cooperative transmissions in presence of interference for VSCs at intersections. We use tools from stochastic geometry, and model interferer vehicles locations as a Poisson point process. First, we calculate the outage probability (OP) for a direct transmission when the received node can be anywhere on the plan. Then, we analyze the OP performance of a cooperative transmission scheme. The analysis takes into account two dimensions: the decoding strategy at the receiver, and the vehicles mobility. We derive the optimal relay position, from analytical and simulation results, for different traffic densities and for different vehicles mobility models. We also show that the OP does not improve after the number of infrastructure relays reached a threshold value. Finally, we show that the OP performance of VSCs is higher at intersections than on highways. We validated our analytical results by Monte-Carlo simulations.