LOS Coverage Area in Vehicular Networks with Cox distributed Roadside Units and Relays

TL;DR

This paper presents an analytical stochastic geometry framework to evaluate LOS coverage in vehicular networks with RSUs and relays modeled as Cox point processes, highlighting the impact of relays on coverage enhancement.

Contribution

It introduces a Cox process-based model for correlated RSU and relay locations and evaluates LOS coverage as a Boolean model, quantifying coverage improvements from relays.

Findings

Relays can increase LOS coverage area fraction by nearly 50%.

Model captures spatial correlation between RSUs and relays.

Provides a tool for assessing LOS coverage viability in vehicular networks.

Abstract

We develop an analytical framework to examine the line-of-sight (LOS) coverage area in vehicular networks with roadside units (RSU) and vehicle relays. In practical deployment scenarios, RSUs and vehicle relays are spatially correlated and we characterize this by employing Cox point processes to model the locations of RSUs and vehicle relays simultaneously. Leveraging the random blockage model, we model the LOS coverage area as Boolean models on these Cox point processes. The LOS coverage area is then evaluated by its area fraction. We show that relays can increase the area fraction of LOS coverage by nearly 50\% even when RSUs and relays are spatially correlated. By presenting a stochastic geometry model for a vehicular network with RSUs and relays and then by providing a tool to capture its LOS coverage, our work assesses the viability of vehicle relays for modern vehicular networks exploiting LOS coverage.