We present an analytical model to estimate the performance penalty due to filtering in coherent systems using finite-length equalizers, reporting a high model accuracy against numerical simulations with a maximum error of 0.1 dB.
This paper presents an orchestration and control architecture for multi-domain optical networks. The proposed solution improves performance predictability by leveraging a modular, closed-loop SDN control plane that enables dynamic service provisioning, optimal path selection, and amplifier control. A key innovation is the integration of a time-varying QoT Digital Twin, which exploits live telemetry to enhance real-time decision-making and network adaptability.
Network automation is essential for accelerating service deployment and optimizing operations, especially in multi-vendor optical transport networks. However, unique interoper-ability challenges arising from vendor-specific implementations require standardized frameworks such as those provided by OpenROADM MSA. This work introduces the Optical Network Robotic Automation Platform (ON-RAP), a fully automated, vendor-agnostic solution that integrates system-level automation with robotic process automation, streamlining OpenROADM-compliant network operations and enabling comprehensive test automation. ON-RAP automates compliance validation, service provisioning, troubleshooting, and multi-vendor simulation, achieving precise configuration, real-time monitoring, and time-efficient fault resolution. ON-RAP enables seamless validation across simulated and real environments, enhancing test efficiency and scalability for network devices and controllers. In addition, it automates report generation to facilitate structured analysis and reduce manual effort.
This paper presents a proactive live migration of the gNodeB Central Unit User Plane (gNB-CU-UP) container in a 5G virtualized Radio Access Network (vRAN) testbed across a multi-vendor OpenROADM optical transport network (OTN). An automated mechanism monitors the CPU usage and dynamically reconfigures midhaul and backhaul wavelength services to maintain low-latency transport. Leveraging Pacemaker and Corosync for seamless Virtual IP (VIP) handover, the proposed mechanism achieves a UE Service Recovery Time of 1.04 sec ensuring minimal disruption.
This paper presents an experimental evaluation of the impact of optical switching equipment on the integrity of sensitive quantum signals, which are fundamental components of quantum networks. Focusing on switching in a Quantum Key Distribution (QKD) network as one example of a quantum network scenario, this study highlights how the impairments introduced by optical switches can significantly degrade the quality of quantum signals, resulting in a noticeable increase in the Quantum Bit Error Rate (QBER). This signal degradation poses serious challenges to the reliability and efficiency of the quantum networks. However, by accurately modeling the effects of switching-induced impairments, designing and implementing an ideal digital twin becomes feasible, which can cut QBER by up to 90% by identifying and addressing root causes and enabling proactive measures. Hybrid quantum-classical networks can benefit from such digital twins through improved quality and scalability.
