Discrete Time Bulk Service Queue for Analyzing LTE Packet Scheduling for V2X Communications

Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10531)


Cellular technologies are promoted by different stakeholders as a key enabler to support vehicle-to-everything communications. In this paper, we shed light into the performance of the LTE (Long Term Evolution) technology in delivering messages generated by vehicles under different network configurations and workload settings. To this purpose, by employing methods of queuing theory, we derive closed-form expressions and provide numerical results for reliability and latency metrics.


Discrete-time Bulk Service Queue Packet Loss Probability First Come First Served (FCFS) Packet Scheduling Scheme Virtual Buffer 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


  1. 1.
    3GPP. 3rd Generation Partnership Project; Technical Specification Group Radio Access Networks; Vehicle to Vehicle (V2V) services based on LTE sidelink. Release 14. Technical report 36.785 v14.0.0, 10–2016Google Scholar
  2. 2.
    3GPP. 3rd Generation Partnership Project; Technical Specification Group Radio Access Networks; Radio Frequency (RF) system scenarios (Release 9). Technical report 25.942 v9.0.0, 12–2009Google Scholar
  3. 3.
    Alfa, A.S.: Queueing Theory for Telecommunications. Springer, Heidelberg (2010)Google Scholar
  4. 4.
    Andreev, S., Pyattaev, A., Johnsson, K., Galinina, O., Koucheryavy, Y.: Cellular traffic offloading onto network-assisted device-to-device connections. IEEE Commun. Mag. 52(4), 20–31 (2014)CrossRefGoogle Scholar
  5. 5.
    Araniti, G., Campolo, C., Condoluci, M., Iera, A., Molinaro, A.: LTE for vehicular networking: a survey. IEEE Commun. Mag. 51(5), 148–157 (2013)CrossRefGoogle Scholar
  6. 6.
    Basharin, G.P., Gaidamaka, Y.V., Samouylov, K.E.: Mathematical theory of teletraffic and its application to the analysis of multiservice communication of next generation networks. Autom. Control Comput. Sci. 47(2), 62–69 (2013)CrossRefGoogle Scholar
  7. 7.
    Bazzi, A., Masini, B.M., Zanella, A., Thibault, l.: Beaconing from connected vehicles: IEEE 802.11p vs. LTE-V2V. In: IEEE 27th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC), pp. 1–6 (2016)Google Scholar
  8. 8.
    Bose, S.K.: An Introduction to Queuing Systems. Springer, Heidelberg (2002)Google Scholar
  9. 9.
    Campolo, C., Molinaro, A., Scopigno, R.: Vehicular ad hoc networks. Stand. Solutions Res. (2015)Google Scholar
  10. 10.
    Efimushkina, T., Gabbouj, M., Samuylov, K.: Analytical model in discrete time for cross-layer video communication over LTE. Autom. Control Comput. Sci. 48(6), 345–357 (2014)CrossRefGoogle Scholar
  11. 11.
    ETSI EN 102 962. Intelligent Transport Systems (ITS); Framework Public Mobile Network (2012)Google Scholar
  12. 12.
    Militano, L., Condoluci, M., Araniti, G., Molinaro, A., Iera, A., Muntean, G.-M.: Single frequency-based device-to-device-enhanced video delivery for evolved multimedia broadcast and multicast services. IEEE Trans. Broadcast. 61(2), 263–278 (2015)CrossRefGoogle Scholar
  13. 13.
    Mumtaz, S., Huq, K.M.S., Ashraf, M.I., Rodriguez, J., Monteiro, V., Politis, C.: Cognitive vehicular communication for 5G. IEEE Commun. Mag. 53(7), 109–117 (2015)CrossRefGoogle Scholar
  14. 14.
    Petrov, V., Samuylov, A., Begishev, V., Moltchanov, D., Andreev, S., Samouylov, K., Koucheryavy, Y.: Vehicle-based relay assistance for opportunistic crowdsensing over narrowband IoT (NB-IoT). IEEE Internet Things J. (2017)Google Scholar
  15. 15.
    Piro, G., Orsino, A., Campolo, C., Araniti, G., Boggia, G., Molinaro, A.: D2D in LTE vehicular networking: system model and upper bound performance. In: Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT), pp. 281–286 (2015)Google Scholar
  16. 16.
    Vinel, A.: 3GPP LTE Versus IEEE 802.11p/WAVE: which technology is able to support cooperative vehicular safety applications? IEEE Wireless Commun. Lett. 1(2), 125–128 (2012)CrossRefGoogle Scholar

Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  1. 1.Peoples’ Friendship University of Russia (RUDN University)MoscowRussian Federation
  2. 2.Service Innovations Research InstituteHelsinkiFinland
  3. 3.Institute of Informatics ProblemsMoscowRussian Federation
  4. 4.Mediterranea University of Reggio CalabriaReggio CalabriaItaly

Personalised recommendations