Deterministic and stochastic channel models implemented in a physical layer simulator for Car-to-X communications

J Nuckelt,M Schack,T Kürner

doi:10.5194/ars-9-165-2011

J Nuckelt, M Schack + Show 1 more

Open Access

https://doi.org/10.5194/ars-9-165-2011

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Abstract

Abstract. This paper presents a physical (PHY) layer simulator of the IEEE 802.11p standard for Wireless Access in Vehicular Environments (WAVE). This simulator allows the emulation of data transmission via different radio channels as well as the analysis of the resulting system behavior. The PHY layer simulator is part of an integrated simulation platform including a traffic model to generate realistic mobility of vehicles and a 3D ray-optical model to calculate the multipath propagation channel between transmitter and receiver. Besides deterministic channel modeling by means of ray-optical modeling, the simulator can also be used with stochastic channel models of typical vehicular scenarios. With the aid of this PHY layer simulator and the integrated channel models, the resulting performance of the system in terms of bit and packet error rates of different receiver designs can be analyzed in order to achieve a robust data transmission.

Highlights

Car-to-car or car-to-infrastructure communications – summarized under the term C2X communications – have been of great research interest in recent years
The European equivalent is the ETSI standard Intelligent Transportation Systems (ITS)-G5 (ETSI, 2010). Both standards operate in the 5.9 GHz band and are mainly based on the well-known Wireless Local Area Network (WLAN) standard IEEE 802.11a (IEEE, 2007)
Since IEEE 802.11a was primarily designed for nomadic indoor usage it has to be Correspondence to: J

Summary

Introduction

In order to investigate and validate the system performance in different C2X communication scenarios, a PHY layer simulator compliant to IEEE 802.11p has been developed. A self-developed ray-optical tool is used to model the radio channel deterministically This approach allows us to analyze the system behavior in a specific situation, e.g. two cars are approaching a certain intersection. The stochastic channel models, which can be found in the literature (Acosta-Marum and Ingram, 2007), are used to investigate the system performance in scenarios that represent a certain C2X communication environment, e.g. a highly mobile highway scenario. In this way, several receiver designs like different channel estimation strategies can be evaluated and compared to each other.

Description of the PHY layer simulator

Channel

Transmitter

Stoc1hastic channel models