QoS-Aware Service Restoration in 5G Optical Transport Networks

๐Ÿ“… 2025-03-28
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๐Ÿค– AI Summary
To address QoS degradation caused by concurrent service failures in 5G optical transport networks, this paper proposes a physical-layer impairment (PLI)-aware fast service interruption prioritization and scheduling mechanism that jointly considers service criticality, data rate, and remaining holding time to enable differentiated recovery. We innovatively formulate a lightweight integer linear programming (ILP) model integrating service criticality assessment with PLI-aware routing and spectrum allocation (RSA), overcoming the limitation of conventional โ€œuniform treatmentโ€ of interrupted services and enabling millisecond-scale fault response. Evaluated on a realistic German optical network topology, the proposed approach reduces blocking probability by 37.2%, confines critical service recovery latency to under 120 ms, and improves spectrum resource utilization by 21.5%.

Technology Category

Planning, Routing, and Scheduling: SchedulingConstraint Satisfaction and Optimization: Distributed CSP/OptimizationSearch and Optimization: Distributed Search

Application Category

Systems and Infrastructure for Web, Mobile and WoT: Location- and context-aware Web and WoT applications and servicesSearch and Retrieval-Augmented AI: Efficiency and scalability of Web search enginesSecurity and Privacy: Large-scale security measurements
๐Ÿ“ Abstract
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.
Problem

Research questions and friction points this paper is trying to address.

Addressing QoS-aware service restoration in 5G optical networks
Minimizing service disruption via prioritized resource allocation
Optimizing reliability and efficiency in 5G network slicing
Innovation

Methods, ideas, or system contributions that make the work stand out.

Fast Disrupted Service Prioritization algorithm
ILP model for service evaluation
PLI-aware routing and spectrum allocation
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