Load-balanced virtual network embedding based on deep reinforcement learning for 6G regional satellite networks
Regional satellite networks are capable of supporting denser coverage and more reliable
communications in the target area and hence have been viewed as an essential part of the …
communications in the target area and hence have been viewed as an essential part of the …
D-vine: Dynamic virtual network embedding in non-terrestrial networks
In this paper, we address the virtual network embedding (VNE) problem in non-terrestrial
networks (NTNs) enabling dynamic changes in the virtual network function (VNF) …
networks (NTNs) enabling dynamic changes in the virtual network function (VNF) …
Reinforcement learning assisted bandwidth aware virtual network resource allocation
Space-air-ground integration to support seamless coverage of ground, satellite, airborne,
and marine communications, is likely to be a key trend in the 6G era. One of several key …
and marine communications, is likely to be a key trend in the 6G era. One of several key …
Automatic virtual network embedding: A deep reinforcement learning approach with graph convolutional networks
Z Yan, J Ge, Y Wu, L Li, T Li - IEEE Journal on Selected Areas …, 2020 - ieeexplore.ieee.org
Virtual network embedding arranges virtual network services onto substrate network
components. The performance of embedding algorithms determines the effectiveness and …
components. The performance of embedding algorithms determines the effectiveness and …
Space-air-ground integrated multi-domain network resource orchestration based on virtual network architecture: A DRL method
P Zhang, C Wang, N Kumar… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Traditional ground wireless communication networks cannot provide high-quality services
for artificial intelligence (AI) applications such as intelligent transportation systems (ITS) due …
for artificial intelligence (AI) applications such as intelligent transportation systems (ITS) due …
A continuous-decision virtual network embedding scheme relying on reinforcement learning
Network Virtualization (NV) techniques allow multiple virtual network requests to beneficially
share resources on the same substrate network, such as node computational resources and …
share resources on the same substrate network, such as node computational resources and …
Virtual network embedding based on the degree and clustering coefficient information
The issue of virtual network (VN) embedding constitutes an important aspect of network
virtualization, which is considered to be one of the most crucial techniques to overcome the …
virtualization, which is considered to be one of the most crucial techniques to overcome the …
Efficient virtual network embedding with backtrack avoidance for dynamic wireless networks
S Abdelwahab, B Hamdaoui… - IEEE Transactions on …, 2015 - ieeexplore.ieee.org
We develop an efficient virtual network embedding (VNE) algorithm, termed Bird-VNE, for
mobile wireless networks. Bird-VNE is an approximation algorithm that ensures a close to …
mobile wireless networks. Bird-VNE is an approximation algorithm that ensures a close to …
Toward profit-seeking virtual network embedding algorithm via global resource capacity
In this paper, after proposing a novel metric, ie, global resource capacity (GRC), to quantify
the embedding potential of each substrate node, we propose an efficient heuristic virtual …
the embedding potential of each substrate node, we propose an efficient heuristic virtual …
A efficient mapping algorithm with novel node-ranking approach for embedding virtual networks
Virtual network embedding (VNE) problem has been widely accepted as an important
aspect in network virtualization (NV) area: how to efficiently embed virtual networks, with …
aspect in network virtualization (NV) area: how to efficiently embed virtual networks, with …