Conventional optical networks are limited by static operational methods that hinder their
scalability and effectiveness. As networks operate with reduced margins to maximize …

Since the advent of GPT, large language models (LLMs) have brought about revolutionary
advancements in all walks of life. As a superior natural language processing (NLP) …

Entanglement routing in near-term quantum networks consists of choosing the optimal
sequence of short-range entanglements to combine through swapping operations to …

Digital Twins (DT) are needed in elastic optical networks to enable further advance and
pave the way towards autonomous networks. Dynamical models self-adjusting with their …

The dynamic provisioning of optical network services requires algorithms to find a suitable
solution given the specific service requirements and the current network state. These …

A novel method for the estimation of nonlinear interference (NLI) penalties in optical
networks is presented. Its theoretical derivation is grounded in linear least squares (LLS) …

Quality of transmission (QoT) prediction is a fundamental function in optical networks. It is
typically embedded within a digital twin and used for operational tasks, including service …

With the rise of new applications such as AR/VR, cloud gaming, and vehicular networks,
traditional network management solutions are no longer cost-effective. Digital Twin Network …

Digital twin (DT) technology facilitates the integration of physical and virtual worlds, enabling
optical networks to realize efficient, intelligent, and accurate monitoring, prediction, and …

The development of large language models (LLM) has revolutionized various fields, and is
anticipated to drive the advancement of autonomous systems. In the context of autonomous …