Vnf and cnf placement in 5g: Recent advances and future trends
With the growing demand for openness, scalability, and granularity, mobile network function
virtualization (NFV) has emerged as a key enabler for the most of mobile network operators …
virtualization (NFV) has emerged as a key enabler for the most of mobile network operators …
An in-depth survey on virtualization technologies in 6g integrated terrestrial and non-terrestrial networks
6G networks are envisioned to deliver a large diversity of applications and meet stringent
Quality of Service (QoS) requirements. Hence, integrated Terrestrial and Non-Terrestrial …
Quality of Service (QoS) requirements. Hence, integrated Terrestrial and Non-Terrestrial …
ALCoD: An adaptive load-aware approach to load balancing for containers in IoT edge computing
Container technologies promise efficient deployment of distributed services, but their
potential is hampered by suboptimal resource utilization and network congestion stemming …
potential is hampered by suboptimal resource utilization and network congestion stemming …
Dynamic channel selection and transmission scheduling for cognitive radio networks
Cognitive radio networks (CRNs) are expected to be promising techniques for improving the
spectrum efficiency of wireless network utility in the squeezed sub-6-GHz frequency bands …
spectrum efficiency of wireless network utility in the squeezed sub-6-GHz frequency bands …
A reawakening of machine learning application in unmanned aerial vehicle: future research motivation
Abstract Machine learning (ML) entails artificial procedures that improve robotically through
experience and using data. Supervised, unsupervised, semi-supervised, and Reinforcement …
experience and using data. Supervised, unsupervised, semi-supervised, and Reinforcement …
Monkey business: Reinforcement learning meets neighborhood search for virtual network embedding
In this article, we consider the Virtual Network Embedding (VNE) problem for 5G networks
slicing. This problem requires to allocate multiple Virtual Networks (VN) on a substrate …
slicing. This problem requires to allocate multiple Virtual Networks (VN) on a substrate …
Vnf and container placement: Recent advances and future trends
With the growing demand for openness, scalability, and granularity, mobile network function
virtualization (NFV) has emerged as a key enabler for most mobile network operators. NFV …
virtualization (NFV) has emerged as a key enabler for most mobile network operators. NFV …
Energy Efficient VNF-FG Embedding via Attention-Based Deep Reinforcement Learning
Designing smart mechanisms to facilitate and accelerate service deployment and
management is one of the most challenging aspects for network infrastructure providers …
management is one of the most challenging aspects for network infrastructure providers …
Optimizing Differentiated SFCs of Slicing Using Virtual/Physical Network Resources for SDN-based Flowing and Steering in B5G/5G Networking
BJ Chang, YT Lin - Computer Networks, 2025 - Elsevier
For differentiating and customizing different types of flows and virtualizing physical
resources of networks and machines, B5G/5G specifies several novel mechanisms …
resources of networks and machines, B5G/5G specifies several novel mechanisms …
Hierarchical Multi-Agent Deep Reinforcement Learning with an Attention-based Graph Matching Approach for Multi-Domain VNF-FG Embedding
L Slim, F Bannour - GLOBECOM 2023-2023 IEEE Global …, 2023 - ieeexplore.ieee.org
We present a generic multi-agent deep reinforcement learning framework for dynamic multi-
domain service provisioning in large-scale networks. We formulate both the assignment of a …
domain service provisioning in large-scale networks. We formulate both the assignment of a …