SERENS: Self Regulating Network Slicing in 5G for Efficient Resource Utilization

Singh, Mohit Kumar and Vittal, Shwetha and Antony Franklin, A (2020) SERENS: Self Regulating Network Slicing in 5G for Efficient Resource Utilization. In: 2020 IEEE 3rd 5G World Forum, 5GWF 2020 - Conference Proceedings, 10 September 2020 - 12 September 2020, Banglore; India.

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Abstract

5G is designed to meet the requirements of various network services such as eMBB (enhanced Mobile Broadband), URLLC (Ultra Reliable Low Latency Communications), and mMTC (massive Machine Type Communication) by making use of the technologies such as Software Defined Networking (SDN) and Network Function Virtualization (NFV). These services can be provided through isolated virtual networks bringing in the concept of network slicing in 5G which helps in adjusting the resources dynamically which in turn can maximize resource utilization across the services. The dynamic adjustment of resources can be achieved by monitoring slice instances in the Closed Loop Automation (CLA) to make quick decisions on slice scaling, selection, etc. In this paper, we propose a Self Regulating Network Slicing (SERENS) framework for slice monitoring and selection in 5G. We have developed a prototype of the proposed SERENS framework in a 5G test-bed system and shown that proper slice selection can avoid wastage of resources of slices by up to 60%. The proposed slice selection algorithm will help the operator to serve a higher number of users while making the efficient usage of the available resources.

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IITH Creators:
IITH CreatorsORCiD
Singh, Mohit KumarUNSPECIFIED
Vittal, ShwethaUNSPECIFIED
Antony Franklin, AUNSPECIFIED
Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Dynamic adjustment; Low-latency communication; Machine type communications; Mobile broadband; Resource utilizations; Selection algorithm; Software defined networking (SDN); Virtual networks
Subjects: Computer science
Divisions: Department of Computer Science & Engineering
Depositing User: . LibTrainee 2021
Date Deposited: 09 Aug 2021 11:39
Last Modified: 09 Aug 2021 11:39
URI: http://raiith.iith.ac.in/id/eprint/8776
Publisher URL: http://doi.org/10.1109/5GWF49715.2020.9221405
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