Clustering-based Redundancy Minimization for Edge Computing in Future Core Networks

Perveen, Abida and Abozariba, Raouf and Patwary, Mohammad and Jindal, Anish (2021) Clustering-based Redundancy Minimization for Edge Computing in Future Core Networks. In: 5G World Forum, 13th - 15th October 2021, Montreal, QC, Canada.

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Evolving mobile edge computing has greatly improved cellular network performance and mobile user experience. However, the ever-increasing demand for new and heterogeneous services generates redundant signalling, leading to communication overheads and congestion in the network’s core. We propose a novel AI-enabled edge architecture to support future networks with minimizing signalling redundancy at its heart. In this domain, we deploy a cluster-based signal and admission control framework to maximize the efficiency of link (or bandwidth resources) between the edge and core networks. We minimize the redundant signalling by employing two popular unsupervised machine learning algorithms, i.e., K-mean- and Ranking-based clustering. We evaluate the proposed framework through comparisons with recent studies in the literature. Our results show that the proposed framework provides substantial latency reduction while maximizing resource utilization. The proposed approach is 35% superior in reducing the redundant signalling compared to the current work.

Item Type: Conference or Workshop Item (Paper)
Identification Number:
15 August 2021Accepted
19 November 2021Published Online
Uncontrolled Keywords: Machine learning algorithms, Redundancy, Admission control, Process control, Computer architecture, Bandwidth, Minimization
Subjects: CAH10 - engineering and technology > CAH10-01 - engineering > CAH10-01-01 - engineering (non-specific)
CAH10 - engineering and technology > CAH10-01 - engineering > CAH10-01-08 - electrical and electronic engineering
CAH11 - computing > CAH11-01 - computing > CAH11-01-01 - computer science
Divisions: Faculty of Computing, Engineering and the Built Environment > School of Computing and Digital Technology
Depositing User: Raouf Abozariba
Date Deposited: 11 Jan 2023 11:48
Last Modified: 22 Mar 2023 12:00

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