Advanced Optical Network Technologies
59 papers on this topic
FERN: Leveraging Graph Attention Networks for Failure Evaluation and Robust Network Design
Robust network design, which aims to guarantee network availability under various failure scenarios while optimizing performance/cost objectives, has received significant attention. Existing...
Fast and Scalable Network Slicing by Integrating Deep Learning with Lagrangian Methods
Network slicing is a key technique in 5G and beyond for efficiently supporting diverse services. Many network slicing solutions rely on deep learning to manage complex and high-dimensional...
Mobile Network Slicing under Demand Uncertainty: A Stochastic Programming Approach
Network slicing enables the deployment of multiple dedicated virtual sub-networks, i.e. slices on a shared physical infrastructure. Unlike traditional one-size-fits-all resource provisioning...
On the Price of Locality in Static Fast Rerouting
Modern communication networks feature fully decentralized flow rerouting mechanisms which allow them to quickly react to link failures. This paper revisits the fundamental algorithmic problem...
A Hard and Soft Hybrid Slicing Framework for Service Level Agreement Guarantee via Deep Reinforcement Learning
Network slicing is a critical driver for guaranteeing the diverse service level agreements (SLA) in 5G and future networks. Recently, deep reinforcement learning (DRL) has been widely utilized for...
Deep Reinforcement Learning for Resource Management in Network Slicing
Network slicing is born as an emerging business to operators, by allowing them to sell the customized slices to various tenants at different prices. In order to provide better-performing and...
Network Slicing Based 5G and Future Mobile Networks: Mobility, Resource Management, and Challenges
The fifth-generation (5G) networks are expected to be able to satisfy users' different quality-of-service (QoS) requirements. Network slicing is a promising technology for 5G networks to provide...
Openslice: An opensource OSS for Delivering Network Slice as a Service
As the 5G standards mature and awareness of the capabilities of the technology increases, industry verticals are becoming more eager to test new services and develop them to the level of maturity...
Optimal and Fast Real-time Resources Slicing with Deep Dueling Neural Networks
Effective network slicing requires an infrastructure/network provider to deal with the uncertain demand and real-time dynamics of network resource requests. Another challenge is the combinatorial...
Deep Reinforcement Learning with Discrete Normalized Advantage Functions for Resource Management in Network Slicing
Network slicing promises to provision diversified services with distinct requirements in one infrastructure. Deep reinforcement learning (e.g., deep $\mathcal{Q}$-learning, DQL) is assumed to be...
Learning-Assisted Secure End-to-End Network Slicing for Cyber-Physical Systems
There is a pressing need to interconnect physical systems such as power grid and vehicles for efficient management and safe operations. Owing to the diverse features of physical systems, there is...
A Non-intrusive Failure Prediction Mechanism for Deployed Optical Networks
Failures in optical network backbone can lead to major disruption of internet data traffic. Hence, minimizing such failures is of paramount importance for the network operators. Even better, if...
MSDF: A Deep Reinforcement Learning Framework for Service Function Chain Migration
Under dynamic traffic, service function chain (SFC) migration is considered as an effective way to improve resource utilization. However, the lack of future network information leads to...
Joint Switch Upgrade and Controller Deployment in Hybrid Software-Defined Networks
To improve traffic management ability, Internet Service Providers (ISPs) are gradually upgrading legacy network devices to programmable devices that support Software-Defined Networking (SDN). The...
Reinforcement Learning of Graph Neural Networks for Service Function Chaining
In the management of computer network systems, the service function chaining (SFC) modules play an important role by generating efficient paths for network traffic through physical servers with...
MACS: Deep Reinforcement Learning based SDN Controller Synchronization Policy Design
In distributed software-defined networks (SDN), multiple physical SDN controllers, each managing a network domain, are implemented to balance centralised control, scalability, and reliability...
Role of Digital Twin in Optical Communication: Fault Management, Hardware Configuration, and Transmission Simulation
Optical communication is developing rapidly in the directions of hardware resource diversification, transmission system flexibility, and network function virtualization. Its proliferation poses a...
Optimal Slot Size under Various Bandwidth Distributions in the Flexible-grid Optical Networks
Flexible grid Optical Networks are efficient mechanism to provide flexibility in the optical spectrum utilization. For such networks, the slot width size as specified by the ITU-T G.694.1 is 12.5...