SCAN: ML-Based Slice Congestion and Admission Network Controller

Perveen, Abida and Cebecioglu, Berna Bulut and Abozariba, Raouf and Patwary, Mohammad and Aneiba, Adel and Jindal, Anish and Al-Kadri, M. Omar (2025) SCAN: ML-Based Slice Congestion and Admission Network Controller. IEEE Internet of Things Journal. p. 1. ISSN 2372-2541

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Abstract

Network slicing enables 5G/6G networks to support Ultra-Reliable Low-Latency Communication (ULLC), enhanced Mobile Broadband (eMBB) and Massive Machine-Type Communication (mMTC). However, while this virtual networking technology enhances network efficiency, it also adds substantial signaling overhead. Maintaining sub-millisecond latency and managing dense deployments require continuous signaling at high resolution, which keeps hardware components active, leading to increased energy consumption. In this paper, we introduce a novel network controller that manages slice congestion and admission, designed to meet flexible Quality-of-Experience requirements for both priority and non-priority traffic. Utilizing metadata from Internet of Things (IoT) device applications and network characteristics, we introduce adaptability and elasticity features, enabled by transfer and reinforcement learning, significantly lowering signaling overhead and network resources. Further, analytical results show the proposed framework effectively reduces rejection rates and congestions across varying mMTC and eMBB traffic loads.

Item Type:	Article
Identification Number:	10.1109/JIOT.2025.3592803
Dates:	Date Event 12 July 2025 Accepted 25 July 2025 Published Online
Uncontrolled Keywords:	Resource management, Quality of experience, Admission control, Internet of Things, Energy consumption, Transfer learning, Ultra reliable low latency communication, Training, Symbols, Reinforcement learning
Subjects:	CAH11 - computing > CAH11-01 - computing > CAH11-01-01 - computer science
Divisions:	Architecture, Built Environment, Computing and Engineering > Computer Science
Depositing User:	Gemma Tonks
Date Deposited:	30 Jul 2025 09:47
Last Modified:	30 Jul 2025 09:57
URI:	https://www.open-access.bcu.ac.uk/id/eprint/16545

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