Abstract
Recently, Vehicle-to-Everything (V2X) communications has attracted much attentiveness due to its ubiquitous content sharing and massive data exchange among vehicular users (V-UEs) with the growth of the mobile communication technologies. Vehicular networks is one of the emerging applications for Long-Term Evolution (LTE) which is a capable technology to be useful by different applications due to its Quality-of-Service (QoS) support, high data rate, reliability and high penetration. As proposed by 3GPP the device-to-device (D2D) communication based on LTE network is also a good candidate to be applied for Vehicle-to-Vehicle (V2V) communications.
This paper investigates the resource block (RBs) allocation and RBs sharing in vehicular communication based cellular network where RBs are shared among Safety V-UEs, C-UEs, and non-Safety V-UEs. Moreover, we propose a Mixed traffic Sharing and Resource Allocation (MSRA) Algorithm to guarantee the low latency and the stringent reliability requirements of Safety V-UEs, and to maximize the sum rate capacity and respect the delay constraint of C-UEs and non Safety V-UEs, respectively, while respecting the signal-to-interference-plus-noise ratio (SINR) constraint of all users. Simulation results show that our proposed MSRA algorithm outperforms the other existing approaches in terms of network sum rate, Packet Reception Ratio (PRR) and RBs utilization.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Harounabadi, M., Mitschele-Thiel, A., Akkasi, A.: LTE-D2D for connected cars: a survey on radio resource management schemes. Iran J. Comput. Sci. 1, 187–197 (2018)
3GPP TR 22.885, v14.0.0. Study on LTE support for Vehicle to Everything (V2X) services (Release 14), December 2015
3GPP TS 22.185, v14.3.0, Release 14. LTE; Service requirements for V2X services (2017)
Sun, W.: On Medium Access Control for Vehicular Communication Over Device-to-device Links: Radio Resource Management and Network Synchronization. Chalmers University of Technology (2016)
Mach, P., Becvar, Z., Vanek, T.: In-band device-to-device communication in OFDMA cellular networks: a survey and challenges. IEEE Commun. Surv. Tutor. 17(4), 1885–1922 (2015)
Feki, S., Belghith, A., Zarai, F.: A Q-learning-based scheduler technique for LTE and LTE-advanced network. In: Proceedings of the International Conference on Wireless Networks and Mobile Systems, pp. 27–35 (2017)
Feki, S., Zarai, F.: Cell performance-optimization scheduling algorithm using reinforcement learning for LTE-advanced network. In: Proceedings of the International Conference on Computer Systems and Applications, pp. 1075–1081 (2017)
Mnif, K., Masmoudi, A., Kammoun, L.: Adaptive efficient downlink packet scheduling algorithm in LTE-advanced system. In: The IEEE International Symposium on Networks, Computers and Communications, pp. 1–5 (2014)
Feki, S., Masmoudi, A., Belghith, A., Zarai, F., Obaidat, M.S.: Swarm intelligence-based radio resource management for D2D-based V2V communication. Int. J. Commun. Syst. e3817 (2018)
Feki, S., Belghith, A., Zarai, F.: Ant colony optimization-based resource allocation and resource sharing scheme for V2V-based D2D communication. J. Inf. Sci. Eng. 35(3), 507–519 (2019)
Feki, S., Belghith, A., Zarai, F.: A reinforcement learning-based radio resource management algorithm for D2D-based V2V communication. Accepted in the 15th International Wireless Communications & Mobile Computing Conference, Tangier, Morocco (2019)
Masmoudi, A., Feki, S., Mnif, K., Zarai, F.: Radio resource allocation algorithm for device to device based on LTE-V2X communications. In: Proceedings of the 15th International Joint Conference on e-Business and Telecommunications, Porto, Portugal, pp. 265–271 (2018)
Masmoudi, A., Feki, S., Mnif, K., Zarai, F.: Efficient radio resource management for D2D-based LTE-V2X communications. In: IEEE/ACS 15th International Conference on Computer Systems and Applications (AICCSA), Aqaba, Jordan, pp. 1–6 (2018)
Masmoudi, A., Feki, S., Mnif, K., Zarai, F.: Efficient scheduling and resource allocation for D2D-based LTE-V2X communications. Accepted in the 15th International Wireless Communications & Mobile Computing Conference, Tangier, Morocco (2019)
Sun, W., Strom, E.G., Brannstrom, F., Sui, Y., Sou, K.C.: D2D-based V2V communications with latency and reliability constraints. In: 2014 IEEE Globecom Workshops (GC Wkshps), Austin, TX, USA, pp. 1414–1419 (2014)
Sun, W., Strom, E.G., Brannstrom, F., Sou, K.C., Sui, Y.: Radio resource management for D2D-based V2V communication. IEEE Trans. Veh. Technol. 65(8), 6636–6650 (2016)
Zhang, X., Shang, Y., Li, X., Fang, J.: Research on overlay D2D resource scheduling algorithms for V2V broadcast service. In: 2016 IEEE 84th Vehicular Technology Conference (VTC-Fall), Montreal, QC, Canada, pp. 1–5 (2016)
Abbas, F., Fan, P.: A hybrid low-latency D2D resource allocation scheme based on cellular V2X networks. In: 2018 IEEE International Conference on Communications Workshops (ICC Workshops), Kansas City, MO, USA, pp. 1–6 (2018)
3GPP. Study on LTE-based V2X services. Technical report, TR 36.885 (2016)
Ragaleux, A., Baey, S., Karaca, M.: Standard-compliant LTE-A uplink scheduling scheme with quality of service. IEEE Trans. Veh. Technol. 66(8), 7207–7222 (2017)
3GPP TS 23.203 V14.5.0. Policy and charging control architecture (Release 14), September 2017
WINNER II Channel Models, IST-4-027756 WINNER II D1.1.2 V1.2, September 2007. http://projects.celtic-initiative.org/winner+/WINNER2Deliverables/D1.1.2v1.1.pdf
Author information
Authors and Affiliations
Corresponding authors
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Switzerland AG
About this paper
Cite this paper
Masmoudi, A., Feki, S., Mnif, K., Zarai, F. (2019). A Mixed Traffic Sharing and Resource Allocation for V2X Communication. In: Obaidat, M. (eds) E-Business and Telecommunications. ICETE 2018. Communications in Computer and Information Science, vol 1118. Springer, Cham. https://doi.org/10.1007/978-3-030-34866-3_11
Download citation
DOI: https://doi.org/10.1007/978-3-030-34866-3_11
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-34865-6
Online ISBN: 978-3-030-34866-3
eBook Packages: Computer ScienceComputer Science (R0)