Automotive Communications in LTE: A Simulation-Based Performance Study

The integration of automotive communications in 5G systems must build on a clear understanding of the performance of services for connected vehicles in today's LTE deployments. In this paper, we carry out a simulation-based performance evaluation of automotive communications in LTE, with particular attention to realism: to that end, we investigate the impact of different road traffic models, employ a state-of-the-art commercial LTE tool, and study a practical service use case. Our results demonstrate that unrealistic road traffic datasets can bias network simulations in urban vehicular environments, and provide insights on the limitations of the current radio access architecture, when confronted to connected vehicles.

[1]  Sabine Sories,et al.  A Capacity Analysis for the Transmission of Event and Cooperative Awareness Messages in LTE Networks , 2011 .

[2]  Alexey V. Vinel,et al.  3GPP LTE Versus IEEE 802.11p/WAVE: Which Technology is Able to Support Cooperative Vehicular Safety Applications? , 2012, IEEE Wireless Communications Letters.

[3]  Hannes Hartenstein,et al.  A comparison of UMTS and LTE for vehicular safety communication at intersections , 2010, 2010 IEEE Vehicular Networking Conference.

[4]  Daniel Krajzewicz,et al.  iTETRIS: A modular simulation platform for the large scale evaluation of cooperative ITS applications , 2013, Simul. Model. Pract. Theory.

[5]  Christian Wietfeld,et al.  Channel sensitive transmission scheme for V2I-based Floating Car Data collection via LTE , 2012, 2012 IEEE International Conference on Communications (ICC).

[6]  Albert Banchs,et al.  Mobile network architecture evolution toward 5G , 2016, IEEE Communications Magazine.

[7]  Andrea Vesco,et al.  The Bologna Ringway Dataset: Improving Road Network Conversion in SUMO and Validating Urban Mobility via Navigation Services , 2015, IEEE Transactions on Vehicular Technology.

[8]  Bhaskar Krishnamachari,et al.  Spatio-temporal variations of vehicle traffic in VANETs: facts and implications , 2009, VANET '09.

[9]  Pietro Manzoni,et al.  Measurement-based modelling of LTE performance in Dublin city , 2015, 2016 IEEE 27th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC).

[10]  Guidelines for evaluation of radio interface technologies for IMT-Advanced , 2008 .

[11]  Craglia Massimo,et al.  Estimating population density distribution from network-based mobile phone data , 2015 .

[12]  Hans-Peter Kriegel,et al.  A Density-Based Algorithm for Discovering Clusters in Large Spatial Databases with Noise , 1996, KDD.

[13]  C. Gawron,et al.  An Iterative Algorithm to Determine the Dynamic User Equilibrium in a Traffic Simulation Model , 1998 .

[14]  Marco Fiore,et al.  On the level of detail of synthetic highway traffic necessary to vehicular networking studies , 2015, 2015 IEEE Vehicular Networking Conference (VNC).