Challenges and Research Directions in Vehicular Traffic Modelling and Uplink In-Car Scheduling

Vehicular communications could be realized with LTE. However, an uplink channel bottleneck problem has to be tackled first. In this technical report, we identify the in-car traffic modeling and scheduling challenges. Finally, we propose our approach to these challenges.

[1]  Intelligent Transport Systems (its); Decentralized Congestion Control Mechanisms for Intelligent Transport Systems Operating in the 5 Ghz Range; Access Layer Part , 2022 .

[2]  S. Panichpapiboon,et al.  Connectivity requirements for a self-organizing vehicular network , 2008, 2008 IEEE Intelligent Vehicles Symposium.

[3]  Aloysius Ka-Lau Mok,et al.  Fundamental design problems of distributed systems for the hard-real-time environment , 1983 .

[4]  Azzedine Boukerche,et al.  SLA: Speed and Location Aware LTE Scheduler for Vehicular Safety Applications , 2015, MobiWac.

[5]  Bernhard Kloiber,et al.  Dice the TX power — Improving Awareness Quality in VANETs by random transmit power selection , 2012, 2012 IEEE Vehicular Networking Conference (VNC).

[6]  Liljana Gavrilovska,et al.  Machine-to-Machine traffic characterization: Models and case study on integration in LTE , 2014, 2014 4th International Conference on Wireless Communications, Vehicular Technology, Information Theory and Aerospace & Electronic Systems (VITAE).

[7]  Hannes Hartenstein,et al.  Joint power/rate congestion control optimizing packet reception in vehicle safety communications , 2013, Vehicular Ad Hoc Networks.

[8]  Kaijie Zhou,et al.  Simple Traffic Modeling Framework for Machine Type Communication , 2013, ISWCS.

[9]  Kin K. Leung,et al.  Centralized rate control mechanism for cellular-based vehicular networks , 2013, 2013 IEEE Globecom Workshops (GC Wkshps).

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

[11]  Vojislav B. Misic,et al.  Machine-to-Machine Communications : Architectures, Technology, Standards, and Applications , 2014 .

[12]  Azzedine Boukerche,et al.  CAMS transmission rate adaptation for vehicular safety application in LTE , 2014, DIVANet '14.

[13]  Hannes Hartenstein,et al.  Design methodology and evaluation of rate adaptation based congestion control for Vehicle Safety Communications , 2011, 2011 IEEE Vehicular Networking Conference (VNC).

[14]  Branka Vucetic,et al.  Traffic modeling and performance evaluation of wireless Smart Grid access networks , 2014, 2014 IEEE 25th Annual International Symposium on Personal, Indoor, and Mobile Radio Communication (PIMRC).

[15]  Intelligent Transport Systems (its); Framework for Public Mobile Networks in Cooperative Its (c-its) Intellectual Property Rights , .

[16]  Branka Vucetic,et al.  Traffic modeling for Machine-to-Machine (M2M) last mile wireless access networks , 2014, 2014 IEEE Global Communications Conference.

[17]  Antonio Iera,et al.  LTE for vehicular networking: a survey , 2013, IEEE Communications Magazine.

[18]  Markus Laner,et al.  Traffic models for machine-to-machine (M2M) communications: types and applications , 2014 .

[19]  Lusheng Ji,et al.  Large-Scale Measurement and Characterization of Cellular Machine-to-Machine Traffic , 2013, IEEE/ACM Transactions on Networking.

[20]  Markus Rupp,et al.  Traffic Models for Machine Type Communications , 2013, ISWCS.