QoS-Aware Service Restoration in 5G Optical Transport Networks

Only the chairs can edit The rapid growth of high-bandwidth applications in fifth-generation (5G) networks and beyond has driven a substantial increase in traffic within transport optical networks. While network slicing effectively addresses diverse quality of service (QoS) requirements-including bit rate, latency, and reliability-it also amplifies vulnerabilities to failures, particularly when a single disruption in the optical layer impacts multiple services within the 5G network. To address these challenges, we propose a Fast Disrupted Service Prioritization (FDSP) algorithm that strategically allocates resources to the most critical disrupted services. Specifically, FDSP employs a fast-solving integer linear programming (ILP) model to evaluate three key factors-service priority, bit rate, and remaining holding time-and integrates a physical-layer impairment (PLI)-aware routing and spectrum allocation approach. By leveraging this combined strategy, FDSP minimizes service disruption while optimizing resource utilization. Simulation results on Germany's network demonstrate that our approach significantly enhances the reliability and efficiency of survivable 5G slicing, thereby reducing blocking probability.