A survey on IoT-edge-cloud continuum systems: status, challenges, use cases, and open issues
The rapid growth in the number of interconnected devices on the Internet (referred to as the
Internet of Things—IoT), along with the huge volume of data that are exchanged and …
Internet of Things—IoT), along with the huge volume of data that are exchanged and …
A survey on machine learning techniques for massive MIMO configurations: Application areas, performance limitations and future challenges
PK Gkonis - IEEE Access, 2022 - ieeexplore.ieee.org
The deployment of fifth-generation (5G) broadband wireless cellular networks has enabled
the support of highly demanding applications, paving the way towards global broadband …
the support of highly demanding applications, paving the way towards global broadband …
Service Function Chain Deployment Algorithm Based on Deep Reinforcement Learning in Space–Air–Ground Integrated Network
X Feng, M He, L Zhuang, Y Song, R Peng - Future Internet, 2024 - mdpi.com
SAGIN is formed by the fusion of ground networks and aircraft networks. It breaks through
the limitation of communication, which cannot cover the whole world, bringing new …
the limitation of communication, which cannot cover the whole world, bringing new …
Leveraging Network Data Analytics Function and Machine Learning for Data Collection, Resource Optimization, Security and Privacy in 6G Networks
The full deployment of sixth-generation (6G) networks is inextricably connected with a
holistic network redesign able to deal with various emerging challenges, such as integration …
holistic network redesign able to deal with various emerging challenges, such as integration …
Deep multi-agent reinforcement learning with minimal cross-agent communication for sfc partitioning
Network Function Virtualization (NFV) decouples network functions from the underlying
specialized devices, enabling network processing with higher flexibility and resource …
specialized devices, enabling network processing with higher flexibility and resource …
Slice-based service function chain embedding for end-to-end network slice deployment
This paper investigates the slice-based service function chain embedding (SBSFCE)
problem, which is to embed the service function chains (SFCs) of flows from different slices …
problem, which is to embed the service function chains (SFCs) of flows from different slices …
On the game-theoretic analysis of dynamic VNF service chaining in edge-cloud EONs
Network function virtualization (NFV) enables flexible, cost-effective, and timely deployment
of new network services in elastic optical networks (EONs). Nowadays, the integration of …
of new network services in elastic optical networks (EONs). Nowadays, the integration of …
Vertical Split Learning-Based Identification and Explainable Deep Learning-Based Localization of Failures in Multi-Domain NFV Systems
Automated failure management in Network Function Virtualization (NFV) systems continues
to gain significant attention as it allows identifying and mitigating failures in a timely manner …
to gain significant attention as it allows identifying and mitigating failures in a timely manner …
Multi-provider NFV network service delegation via average reward reinforcement learning
Abstract In multi-provider 5G/6G networks, service delegation enables administrative
domains to federate in provisioning NFV network services. Admission control in selecting the …
domains to federate in provisioning NFV network services. Admission control in selecting the …
Towards Semi-Markov Model-based Dependability Evaluation of VM-based Multi-Domain Service Function Chain
In NFV networks, service functions (SFs) can be deployed on virtual machines (VMs) across
multiple domains and then form a service function chain (MSFC) for end-to-end network …
multiple domains and then form a service function chain (MSFC) for end-to-end network …