Analyzing and relieving the impact of FCD traffic in LTE-VANET heterogeneous network

Abstract

Floating car data (FCD) application is an urban sensing application, which collects the status (position, velocity and heading) of vehicles to feed a traffic management server and estimate the travel time of vehicles, and can be carried by long term evolution (LTE) or a heterogeneous network composed by LTE and vehicular ad hoc network (VANET). However, this application is characterized by high frequency and small data size, which occupy network resource frequently and may have an impact on other LTE traffic, such as human to human (H2H) traffic, which is characterized by low frequency and big data size. In this paper, we aim to analyze and reduce the impact of FCD traffic on the H2H traffic in a LTE-VANET heterogeneous network. For this purpose, we design a novel FCD transmission scheme and evaluate its impact on H2H traffic, which is represented by the rise of the blocking ratio of the H2H traffic, through a Markovian model. The results of the model show that comparing with other schemes, the novel scheme has a relatively lower impact on the traditional cellular traffic, H2H traffic.