Integration of Software-Defined Network and Fuzzy Logic Approaches for Admission Control in 5G Wireless Networks: A Fuzzy-Based Scheme for QoS Evaluation

The Fifth Generation (5G) network is expected to be flexible to satisfy user requirements and the Software-Defined Network (SDN) with Network Slicing will be the constructive paradigm for admission control. The Quality of Service (QoS) is influential point in the 5G wireless networks. In this paper, we propose a Fuzzy-based scheme to evaluate the QoS considering three parameters: Slice Throughput, Slice Delay and Slice Loss. We carried out the simulation for evaluating the performance of our proposed scheme. From simulation results, we conclude that the considered parameters have different effect on the QoS performance. When Slice Throughput (ST) is increasing, the QoS parameter is increased. But, when Slice Delay (SD) and Slice Loss (SL) are increasing, the QoS is decreased.

[1]  Hyuk Lim,et al.  Buffer Management of Virtualized Network Slices for Quality-of-Service Satisfaction , 2018, 2018 IEEE Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN).

[2]  Huaiyu Dai,et al.  A Survey on Low Latency Towards 5G: RAN, Core Network and Caching Solutions , 2017, IEEE Communications Surveys & Tutorials.

[3]  Leonard Barolli,et al.  An Integrated CAC and Routing Strategy for High-speed Large-scale Networks Using Cooperative Agents , 2001 .

[4]  Jennifer Rexford,et al.  Toward Software-Defined Cellular Networks , 2012, 2012 European Workshop on Software Defined Networking.

[5]  Ismaila Adeniyi Kamil,et al.  Lightweight privacy-preserving power injection and communication over vehicular networks and 5G smart grid slice with provable security , 2019, Internet Things.

[6]  Younghwan Yoo,et al.  Handover cell selection using user mobility information in a 5G SDN-based network , 2017, 2017 Ninth International Conference on Ubiquitous and Future Networks (ICUFN).

[7]  H Kutterer,et al.  Tutorial on Fuzzy Logic , 2001 .

[8]  Xin Su,et al.  A mobile handover mechanism based on fuzzy logic and MPTCP protocol under SDN architecture* , 2018, 2018 18th International Symposium on Communications and Information Technologies (ISCIT).

[9]  Toon Norp,et al.  5G Requirements and Key Performance Indicators , 2018, J. ICT Stand..

[10]  Ekram Hossain,et al.  5G cellular: key enabling technologies and research challenges , 2015, IEEE Instrumentation & Measurement Magazine.

[11]  Sandra Sendra,et al.  A Survey on 5G Usage Scenarios and Traffic Models , 2020, IEEE Communications Surveys & Tutorials.

[12]  Ayman M. Bahaa-Eldin,et al.  Software Defined Networking concepts and challenges , 2016, 2016 11th International Conference on Computer Engineering & Systems (ICCES).

[13]  Amirhossein Moravejosharieh,et al.  A Fuzzy Logic Approach To Increase Quality of Service in Software Defined Networking , 2018, 2018 International Conference on Advances in Computing, Communication Control and Networking (ICACCCN).

[14]  Leonard Barolli,et al.  A Fuzzy-Based System for Admission Control in 5G Wireless Networks Considering Software-Defined Network Approach , 2020, EIDWT.

[15]  Michele Zorzi,et al.  Initial Access in 5G mmWave Cellular Networks , 2016, IEEE Communications Magazine.

[16]  Saddam Hossain,et al.  5G Wireless Communication Systems , 2013 .

[17]  J. Mendel Fuzzy logic systems for engineering: a tutorial , 1995, Proc. IEEE.