Intelligent Network Slicing Management Using Microservice-Based Software Architecture for 5G and Beyond Communication Systems
DOI:
https://doi.org/10.29304/jqcsm.2026.18.22653Keywords:
5G Networks, Intelligent Orchestration, Microservices Architecture, Network Slicing, SLA management.Abstract
Network slicing is a key enabling technology for flexible resource management in 5G and beyond communication networks. However, maintaining strict service level agreements (SLAs) while efficiently allocating resources across heterogeneous services remains a major challenge. This paper proposes an intelligent network slicing framework that integrates microservice-based architecture with an AI-Driven Slice Orchestration Engine (ASOE) for dynamic and SLA-aware resource management. The novelty of the proposed framework lies in combining AI-driven orchestration, microservice-based slicing architecture, and automated SLA monitoring within a unified management system. The framework was evaluated using a 5G-oriented simulation environment and compared with conventional monolithic and static slicing approaches. Experimental results show that the proposed method improves SLA compliance to 98.9% (compared to 88.4%), reduces URLLC latency from 9.4 ms to 3.9 ms, and increases resource utilization from 64.8% to 83.7%. These results demonstrate that intelligent orchestration significantly enhances scalability, efficiency, and service reliability in next-generation programmable network infrastructures.
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Copyright (c) 2026 Karar Talal Hamzah
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