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Bandwidth Slicing with Reservation Capability and Application Priority Awareness for Future Vehicular Networks

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Advanced Information Networking and Applications (AINA 2021)

Abstract

This paper addresses the bandwidth slicing for different types of connected vehicle applications with diverse demands in heterogeneous networks. We develop a joint network and device levels slicing scheme based on bandwidth reservation and allocation optimization. The scheme enables vehicles to reserve bandwidth in advance for their critical applications. It categorizes and prioritises vehicular applications based on their degree of criticality. The reserved bandwidth is first allocated. Then, the sub-optimal allocation of the remaining bandwidth is determined and allocated according to degree of criticality of vehicular applications to achieve maximal resource utilization. Moreover, we employ machine learning to accurately predict the time for bandwidth re-slicing, whereas exceeding this time causes high cost of latency and consequently degrades the application performance. Our proposed scheme outperforms the conventional slicing allocation schemes in terms of efficiency and reliability of bandwidth utilization.

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References

  1. Chebaane, A., Khelil, A., Suri, N.: Time-critical fog computing for vehicular networks. Chapter in Wiley Book. Fog Comput. Theory Pract. (2020). ISBN: 978-1-119-55169-0. https://onlinelibrary.wiley.com/doi/abs/10.1002/9781119551713.ch17

  2. Palattella, M.R., Soua, R., Khelil, A., Engel, T.: Fog computing as the key for seamless connectivity handover in future vehicular networks. In: Proceedings of the 34th ACM/SIGAPP Symposium On Applied Computing (SAC) (2019)

    Google Scholar 

  3. Huang, J., Qian, F., Gerber, A., Mao, Z.M., Sen, S., Spatscheck, O.: A close examination of performance and power characteristics of 4G LTE networks. In: Proceedings of the 10th International Conference on Mobile Systems, Applications, and Services (MobiSys), pp. 225–238 (2012)

    Google Scholar 

  4. Study on Management and Orchestration of Network Slicing for Next Generation Network (Release 15): Document TS 28.801, 3GPP (2018)

    Google Scholar 

  5. Kreutz, D., Ramos, F.M., Verissimo, P.E., Rothenberg, C.E., Azodolmolky, S., Uhlig, S.: Software-defined networking: a comprehensive survey. In: Proceedings of the IEEE, vol. 103(1), pp. 14–76 (2014)

    Google Scholar 

  6. Al-Khatib, A.A., Khelil, A.: Priority-and reservation-based slicing for future vehicular networks. In: Proceedings of the 3rd International Workshop on Advances in Slicing for Softwarized Infrastructures (S4SI@NetSoft), pp. 36–42 (2020)

    Google Scholar 

  7. Mei, J., Wang, X., Zheng, K.: Intelligent network slicing for V2X services toward 5G. IEEE Netw. 33(6), 196–204 (2019)

    Article  Google Scholar 

  8. Zhou, G., Zhao, L., Liang, K., Zheng, G., Hanzo, L.: Utility analysis of radio access network slicing. IEEE Trans. Veh. Technol. 69(1), 1163–1167 (2019)

    Article  Google Scholar 

  9. Ksentini, A., Frangoudis, P.A.: Toward slicing-enabled multi-access edge computing in 5G. IEEE Netw. 34(2), 99–10 (2020)

    Article  Google Scholar 

  10. Wang, G., Feng, G., Quek, T.Q., Qin, S., Wen, R., Tan, W.: Reconfiguration in network slicing—optimizing the profit and performance. IEEE Trans. Netw. Serv. Manage. 16(2), 591–605 (2019)

    Article  Google Scholar 

  11. Study on LTE-based V2X Services (Release 14): 3GPP TR 36.885 Std. (2016)

    Google Scholar 

  12. Ye, Q., Zhuang, W., Zhang, S., Jin, A.L., Shen, X., Li, X.: Dynamic radio resource slicing for a two-tier heterogeneous wireless network. IEEE Trans. Veh. Technol. 67(10), 9896–9910 (2018)

    Article  Google Scholar 

  13. Peng, H., Ye, Q., Shen, X.S.: SDN-based resource management for autonomous vehicular networks: a multi-access edge computing approach. IEEE Wirel. Commun. 26(4), 156–162 (2019)

    Article  Google Scholar 

  14. Caballero, P., Banchs, A., De Veciana, G., Costa-Pérez, X.: Multi-tenant radio access network slicing: statistical multiplexing of spatial loads. IEEE/ACM Trans. Netw. 25(5), 3044–3058 (2017)

    Article  Google Scholar 

  15. Sciancalepore, V., Samdanis, K., Costa-Perez, X., Bega, D., Gramaglia, M., Banchs, A.: Mobile traffic forecasting for maximizing 5G network slicing resource utilization. In: Proceedings of the IEEE Conference on Computer Communications (INFOCOM), pp. 1–9 (2017)

    Google Scholar 

  16. Gutterman, C., Grinshpun, E., Sharma, S., Zussman, G.: RAN resource usage prediction for a 5G slice broker. In: Proceedings of the Twentieth ACM International Symposium on Mobile Ad Hoc Networking and Computing, pp. 231–240 (2019)

    Google Scholar 

  17. Gorski, J., Pfeuffer, F., Klamroth, K.: Biconvex sets and optimization with biconvex functions: a survey and extensions. Math. Meth. Oper. Res. 66(3), 373–407 (2007)

    Article  MathSciNet  Google Scholar 

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Correspondence to Abdullah A. Al-khatib .

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Al-khatib, A.A., Khelil, A., Balfaqih, M. (2021). Bandwidth Slicing with Reservation Capability and Application Priority Awareness for Future Vehicular Networks. In: Barolli, L., Woungang, I., Enokido, T. (eds) Advanced Information Networking and Applications. AINA 2021. Lecture Notes in Networks and Systems, vol 225. Springer, Cham. https://doi.org/10.1007/978-3-030-75100-5_58

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