Policy Model for Sharing Network Slices in 5G Core Network

Document Type : Proceedings of The 6'th International Conference on Communication Management and Information Technology (ICCMIT'20)

Author

Department of Information Technology, College of Computer, Qassim University, Saudi Arabia.

Abstract

As mobile data traffic increases, and the number of services provided by the mobile network increases, service load flows as well, which requires changing in the principles, models, and strategies for media transmission streams serving to guarantee the given nature of giving a wide scope of services in Flexible and cost-effective. Right now, the fundamental question remains what number of network slices will be cost effective for slice managing and giving the required functionality. So, the aim is to improve the efficiency of mobile network by forming an ideal slice in a multi-service communication network. In this paper, we propose a model to demonstrate network resource allocation system that forms devoted network slices to serve particular types of services independently on shared infrastructure. This model solves the problem of creating a strategy to form multi-service core mobile communication network slices, which allow the providing of a wide scope of services with certain quality indicators according to the effective dynamic configuration of the system. A resource management system model is created, to provide a method that considers costs related with excessive resource allocation, and also reduces the number of network recalculations, allowing for a reasonable proportion of management costs and Qualities of Service.

Keywords


Bera, S., Misra, S., & Vasilakos, A. V. (2017). Software-defined networking for internet of things: A survey. IEEE Internet of Things Journal, 4(6), 1994-2008.‏
Foukas, X., Patounas, G., Elmokashfi, A., & Marina, M. K. (2017). Network slicing in 5G: Survey and challenges. IEEE Communications Magazine, 55(5), 94-100.
Guan, W., Wen, X., Wang, L., Lu, Z., & Shen, Y. (2018). A service-oriented deployment policy of end-to-end network slicing based on complex network theory. IEEE Access, 6, 19691-19701.‏
Hashim, H. A., & Abido, M. A. (2019). Location management in LTE networks using multi-objective particle swarm optimization. Computer Networks, 157, 78-88.‏
Liu, J., Shen, H., Narman, H. S., Chung, W., & Lin, Z. (2018). A survey of mobile crowdsensing techniques: A critical component for the internet of things. ACM Transactions on Cyber-Physical Systems, 2(3), 1-26.‏
Mijumbi, R., Serrat, J., Gorricho, J. L., Bouten, N., De Turck, F., & Boutaba, R. (2015). Network function virtualization: State-of-the-art and research challenges. IEEE Communications surveys & tutorials, 18(1), 236-262.‏
Narang, S., Nalwa, T., Choudhury, T., & Kashyap, N. (2018, February). An efficient method for security measurement in internet of things. In 2018 International Conference on Communication, Computing and Internet of Things (IC3IoT) (pp. 319-323). IEEE.‏
Shatzkamer, K., Lake, D., Dodd-noble, A. S., & Bosch, P. (2018). U.S. Patent No. 10,057,109. Washington, DC: U.S. Patent and Trademark Office.‏
Shimojo T., Sama M. R., Khan A., Iwashina S. Costefficient method for managing network slices in a multiservice 5G core network, Proceedings of the 2017 IFIP/IEEE Symposium on Integrated Network and Service Management (IM). Lisbon, Portugal, 2017, pp. 1121–1126.
Shimojo, T., Sama, M. R., Khan, A., & Iwashina, S. (2017, May). Cost-efficient method for managing network slices in a multi-service 5G core network. In 2017 IFIP/IEEE Symposium on Integrated Network and Service Management (IM) (pp. 1121-1126). IEEE.‏
Yi, B., Wang, X., Li, K., & Huang, M. (2018). A comprehensive survey of network function virtualization. Computer Networks, 133, 212-262.‏
Volume 12, Issue 2
Proceedings of The 6'th International Conference on Communication Management and Information Technology (ICCMIT'20)
2020
Pages 79-89