Skip to main content
SpringerLink
Log in

Supporting QoS requirements provisions on 5G network slices using an efficient priority-based polling technique

  • Published:
Wireless Networks Aims and scope Submit manuscript

Abstract

Mobile operators aim to enhance the Quality of Service (QoS) in each new mobile network generation. The upcoming 5G mobile network is expected to make a revolutionary enhancement in the provided service level. Serving diverse requirements from different mobile network users in a flexible and a dynamic way is a key demand. Thus, the 5G network-slicing concept provides an optimal and an efficient way to deal with the diversity of end users requirements and demands. In 5G, three different network slices share the network resources in a virtually isolated slicing manner. These slices will be in different priority classes. Indeed, priority scheduling algorithms are needed to guarantee the service level for each slice among all other lesser priority slices. This paper proposes a priority-based polling scheme with multiple scheduling techniques for the data traffic coming from multiple 5G network slices. Cyclic and random polling with/without priority are analyzed and discussed for multiple 5G use cases. The analytical model of the proposed priority-based polling scheme is presented and the performance measures in terms of the average waiting time and utilization are derived. The results prove that the proposed polling scheme shows a powerful ability to control the 5G virtual base-band units pool and guard the QoS of the 5G slices, which is what 5G networks need.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11

Similar content being viewed by others

References

  1. da Silva, I., Mildh, G., Kaloxylos, A., Spapis, P., Buracchini, E., Trogolo, A., et al. (2016). Impact of network slicing on 5G radio access networks. In 2016 European conference on networks and communications (EuCNC) (pp. 153–157).

  2. Zhang, H., Liu, N., Chu, X., Long, K., Aghvami, A.-H., & Leung, V. C. (2017). Network slicing based 5G and future mobile networks: Mobility, resource management, and challenges. IEEE Communications Magazine, 55, 138–145.

    Article  Google Scholar 

  3. Ordonez-Lucena, J., Ameigeiras, P., Lopez, D., Ramos-Munoz, J. J., Lorca, J., & Folgueira, J. (2017). Network slicing for 5G with SDN/NFV: Concepts, architectures, and challenges. IEEE Communications Magazine, 55, 80–87.

    Article  Google Scholar 

  4. Akyildiz, I. F., Nie, S., Lin, S.-C., & Chandrasekaran, M. (2016). 5G roadmap: 10 key enabling technologies. Computer Networks, 106, 17–48.

    Article  Google Scholar 

  5. Choi, Y.-I., & Park, N. (2017). Slice architecture for 5G core network. In 2017 Ninth international conference on ubiquitous and future networks (ICUFN) (pp. 571–575).

  6. Richart, M., Baliosian, J., Serrat, J., & Gorricho, J.-L. (2016). Resource slicing in virtual wireless networks: A survey. IEEE Transactions on Network and Service Management, 13(3), 462–476.

    Article  Google Scholar 

  7. Dighriri, M., Alfoudi, A. S. D., Lee, G. M., Baker, T., & Pereira, R. (2017). Comparison data traffic scheduling techniques for classifying QoS over 5G mobile networks. In 2017 31st International conference on advanced information networking and applications workshops (WAINA) (pp. 492–497).

  8. Ghavimi, F., & Chen, H.-H. (2015). M2M communications in 3GPP LTE/LTE-A networks: Architectures, service requirements, challenges, and applications. IEEE Communications Surveys & Tutorials, 17, 525–549.

    Article  Google Scholar 

  9. Foukas, X., Patounas, G., Elmokashfi, A., & Marina, M. K. (2017). Network slicing in 5G: Survey and challenges. IEEE Communications Magazine, 55, 94–100.

    Article  Google Scholar 

  10. Kotulski, Z., Nowak, T., Sepczuk, M., Tunia, M., Artych, R., Bocianiak, K., et al. (2017). On end-to-end approach for slice isolation in 5G networks. Fundamental challenges. In 2017 Federated conference on computer science and information systems (FedCSIS) (pp. 783–792).

  11. Gong, J., Ge, L., Su, X., & Zeng, J. (2017). Radio access network slicing in 5G. In World conference on information systems and technologies (pp. 207–210).

  12. Yu, H., Lee, H., & Jeon, H. (2017). What is 5G? Emerging 5G mobile services and network requirements. Sustainability, 9, 1848.

    Article  Google Scholar 

  13. Mohsen, N., & Hassan, K. S. (2015). C-RAN simulator: A tool for evaluating 5G cloud-based networks system-level performance. In 2015 IEEE 11th International conference on wireless and mobile computing, networking and communications (WiMob) (pp. 302–309).

  14. Checko, A. (2016). Cloud radio access network architecture. Towards 5G mobile networks. Technical University of Denmark.

  15. Chekol, A. T. (2017). Performance analysis of cloud radio access network. Trondheim: NTNU.

    Google Scholar 

  16. Jiang, M., Condoluci, M., & Mahmoodi, T. (2016). Network slicing management and prioritization in 5G mobile systems. In Proceedings of European wireless 2016; 22th European wireless conference (pp. 1–6).

  17. Richart, M., Baliosian, J., Serrat, J., Gorricho, J.-L., Agüero, R., & Agoulmine, N. (2017). Resource allocation for network slicing in WiFi access points. In 2017 13th International conference on network and service management (CNSM), 26–30 Nov (pp. 1–6).

  18. Kamel, M. I., Le, L. B., & Girard, A. (2014). LTE wireless network virtualization: Dynamic slicing via flexible scheduling. In 2014 IEEE 80th Vehicular technology conference (VTC Fall) (pp. 1–5).

  19. Wierman, A., Winands, E. M., & Boxma, O. J. (2007). Scheduling in polling systems. Performance Evaluation, 64, 1009–1028.

    Article  Google Scholar 

  20. Bertsekas, D. P., Gallager, R. G., & Humblet, P. (1987). Data networks (Vol. 2). Englewood Cliffs, NJ: Prentice-Hall.

    Google Scholar 

  21. Kleinrock, L., & Levy, H. (1988). The analysis of random polling systems. Operations Research, 36, 716–732.

    Article  MathSciNet  Google Scholar 

  22. Kleinrock, L. (1976). Queueing systems, volume 2: Computer applications (Vol. 66). New York: Wiley.

    MATH  Google Scholar 

  23. Fuhrmann, S. (1985). Symmetric queues served in cyclic order. Operations Research Letters, 4, 139–144.

    Article  MathSciNet  Google Scholar 

  24. Cosmetatos, G. P. (1976). Some approximate equilibrium results for the multi-server queue (M/G/r). Journal of the Operational Research Society, 27, 615–620.

    Article  Google Scholar 

  25. Kimura, T. (1994). Approximations for multi-server queues: System interpolations. Queueing Systems, 17, 347–382.

    Article  MathSciNet  Google Scholar 

  26. de Moraes, L. F., & Silva, R. S. (2014). Analysis of multichannel wireless networks with priority-based polling MAC protocols. In Wireless days (WD), 2014 IFIP (pp. 1–6).

Download references

Acknowledgements

This work was supported by the Research Center of College of Computer and Information Sciences, King Saud University. The authors are grateful for this support.

Author information

Authors and Affiliations

  1. Department of Computer Engineering, King Saud University, College of Computer and Information Sciences, Riyadh, 11421, Saudi Arabia

    Salman Ali AlQahtani & Abdulaziz Saud Altamrah

Authors
  1. Salman Ali AlQahtani
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Abdulaziz Saud Altamrah
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Salman Ali AlQahtani.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

AlQahtani, S.A., Altamrah, A.S. Supporting QoS requirements provisions on 5G network slices using an efficient priority-based polling technique. Wireless Netw 25, 3825–3838 (2019). https://doi.org/10.1007/s11276-018-01917-0

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11276-018-01917-0

Keywords

Search

Navigation