Maximum Reuse Distance Scheduling for Cellular-V2X Sidelink Mode 3

Vehicle-to-everything (V2X) communication will be the key technology to improve safety on the road. In particular, the cooperative awareness service will give vehicles the capacity of being aware of the neighborhood through the periodic dissemination of beacon messages, carrying mobility information. Applications like these need a wireless technology able to provide high reliability and low latency. In this context, Cellular-V2X based on long term evolution (LTE) Release 14 is a promising candidate. Objective of this work is to focus on LTE Sidelink mode 3, where resources reserved to direct links are managed by the network and to propose a resource scheduling algorithm based on the knowledge, with different levels of accuracy, of the positions of the vehicles at the network side. Through simulations, carried out in realistic highway and urban scenarios, we compare the proposed solution with a benchmark algorithm based on the concept of reuse distance and we demonstrate that the new solution, other than always offering the highest performance in terms of packet reception ratio and latency, does not require the fine tuning of any parameter.

[1]  Min Wang,et al.  Comparison of LTE and DSRC-Based Connectivity for Intelligent Transportation Systems , 2017, 2017 IEEE 85th Vehicular Technology Conference (VTC Spring).

[2]  Juan-Carlos Cano,et al.  A Survey and Comparative Study of Broadcast Warning Message Dissemination Schemes for VANETs , 2016, Mob. Inf. Syst..

[3]  Tao Xiaofeng,et al.  Resource allocation in D2D-based V2V communication for maximizing the number of concurrent transmissions , 2016 .

[4]  Barbara M. Masini,et al.  Visible light communications as a complementary technology for the internet of vehicles , 2016, Comput. Commun..

[5]  Barbara M. Masini,et al.  LTEV2Vsim: An LTE-V2V simulator for the investigation of resource allocation for cooperative awareness , 2017, 2017 5th IEEE International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS).

[6]  Erik G. Ström,et al.  Radio Resource Management for D2D-Based V2V Communication , 2016, IEEE Transactions on Vehicular Technology.

[7]  Barbara M. Masini,et al.  Localization-based resource selection schemes for network-controlled LTE-V2V , 2017, 2017 International Symposium on Wireless Communication Systems (ISWCS).

[8]  Sonia M. Heemstra de Groot,et al.  Parallel and successive resource allocation for V2V communications in overlapping clusters , 2017, 2017 IEEE Vehicular Networking Conference (VNC).

[9]  Xiaobo Li,et al.  Research on Overlay D2D Resource Scheduling Algorithms for V2V Broadcast Service , 2016, 2016 IEEE 84th Vehicular Technology Conference (VTC-Fall).

[10]  Philippe J. Sartori,et al.  LTE evolution for vehicle-to-everything services , 2016, IEEE Communications Magazine.

[11]  Li Zhao,et al.  Support for vehicle-to-everything services based on LTE , 2016, IEEE Wireless Communications.

[12]  Barbara M. Masini,et al.  A Survey on the Roadmap to Mandate on Board Connectivity and Enable V2V-Based Vehicular Sensor Networks , 2018, Sensors.

[13]  Barbara M. Masini,et al.  How many vehicles in the LTE-V2V awareness range with half or full duplex radios? , 2017, 2017 15th International Conference on ITS Telecommunications (ITST).