Modeling and Analysis of Vehicular Communication Networks: A Stochastic Geometry approach
Vishnu Vardhan Chetlur, Wireless@VT talks on Vehicular communication, which collectively refers to vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) communication, has enabled the vehicular nodes to share information with each other and also with roadside units (RSUs) to improve the road safety and transport efficiency. With autonomous vehicles becoming a reality in the near future, the data traffic originating from vehicular networks is expected to increase many folds while also putting more stringent latency and connectivity constraints compared to the networks of today.
Abstract:In the latest 3GPP release, the support for vehicle-to-everything (V2X) communication has also been added to the long term evolution (LTE).
Vehicular networks have a peculiar spatial geometry as the locations of nodes is restricted to the roadways. This talk will discuss a doubly stochastic spatial model that can capture this coupling between the nodes and the underlying infrastructure. We will then analyze the signal-to-interference ratio (SIR) based coverage of a typical vehicular user in the network. The analysis reveals some interesting trends in the coverage as a function of density of nodes and also the layout of roads. These results also underline the importance of the doubly stochastic model for the analysis of vehicular networks