QoS-Aware Service Restoration in 5G Optical Transport Networks
Zahra Sharifi Soltani, Arash Rezaee, Orlando Arias, Vinod M Vokkarane
TL;DR
QOS-aware restoration for 5G optical transport networks faces cascading failures across slices; the paper proposes FDSP, an ILP-based disrupted-service prioritization combined with PLI-aware routing and spectrum allocation to minimize disruption and improve resource utilization. The core contribution is a weighted objective, $\sum_i (w_b b_i + w_t t_i + w_p p_i)$, subject to $w_b+w_t+w_p = 1$, $w_p \geq w_b + w_t$, and $w_b \geq w_t$, enabling fast prioritization of high-value services, plus a K-shortest path, first-fit RSA strategy using pre-computed OTR values for modulation selection. Simulation on a 50-node German network shows substantial reductions in restoration BBP for high-priority services (URLLC) and meaningful RHT improvements, with FDSP processing over 70 requests in under 3 ms. The results demonstrate FDSP's potential to enhance survivability and efficiency of 5G slicing in transport networks, while also highlighting trade-offs for lower-priority traffic such as mMTC.
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.