Development of improved disjoint resource allocation for cost-effective and scalable 5G network slicing

Efficient resource allocation and cost management for network slicing have become critical challenges for communication service providers with the rapid proliferation of 5G networks. This paper presents an Improved Disjoint Resource Allocation (IDRA) framework designed to enhance resource management and cost efficiency in 5G network slicing. The IDRA method independently addresses access control and resource allocation sub-problems, leading to optimized utilization of network resources while maintaining quality of service. Comparative analyses against conventional Disjoint Resource Allocation (DRA) and Joint Resource Allocation (JRA) approaches demonstrate that IDRA achieves significantly lower Communication Service Provider (CSP) costs, with stable values around 2400 from the eighth to sixteenth slice requests, outperforming peak costs of 5715 and 2725 recorded by DRA and JRA, respectively. Bandwidth consumption cost under IDRA is markedly reduced and predictable, with a peak of 1,986,000 compared to higher and more oscillatory costs in alternative methods, ensuring better budget management. The framework also maintains manageable increases in power consumption and computing capacity while demonstrating reasonable execution times, confirming its scalability and computational feasibility. The results validate IDRA as a robust, scalable, and cost-effective solution for resource allocation in 5G network slicing, with future work suggested to address dynamic tenant behavior and heterogeneous service demands.