Abstract
The resources in the Fifth Generation (5G) wireless network are restricted, and the number of devices is growing considerably faster than the system can handle. As a result, the overloading issue and priority of using resources will be major concern. For satisfying user requirements and resolve that problem, the Software-Defined Network (SDN) with Network Slicing will be a good approach for admission control and managing the resources. In this paper, we propose a fuzzy-based scheme for evaluating Slice Priority (SP) considering three parameters: Slice Traffic Volume (STV), Slice Interference from Other Slices (SIOS) and Slice Connectivity (SC). From simulation results, we conclude that the considered parameters have different effects on the SP. When STV and SC are increasing, the SP parameter is increased but when SIOS is increasing, the SP parameter is decreased.
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Ampririt, P., Qafzezi, E., Bylykbashi, K., Ikeda, M., Matsuo, K., Barolli, L. (2022). A Fuzzy-Based Scheme for Slice Priority Assessment in 5G Wireless Networks. In: Barolli, L., Hussain, F., Enokido, T. (eds) Advanced Information Networking and Applications. AINA 2022. Lecture Notes in Networks and Systems, vol 449. Springer, Cham. https://doi.org/10.1007/978-3-030-99584-3_56
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DOI: https://doi.org/10.1007/978-3-030-99584-3_56
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