Reinforcement learning for admission control in wireless virtual network embedding
Using Service Function Chaining (SFC) in wireless networks became popular in many
domains like networking and multimedia. It relies on allocating network resources to …
domains like networking and multimedia. It relies on allocating network resources to …
A lightweight SFC embedding framework in SDN/NFV-enabled wireless network based on reinforcement learning
J Chen, X Cheng, J Chen, H Zhang - IEEE Systems Journal, 2021 - ieeexplore.ieee.org
Network function virtualization (NFV) is considered to be a promising paradigm for reducing
network infrastructure cost. However, the mapping from network physical resources to …
network infrastructure cost. However, the mapping from network physical resources to …
Service function chain embedding meets machine learning: Deep reinforcement learning approach
Y Liu, J Zhang - IEEE Transactions on Network and Service …, 2024 - ieeexplore.ieee.org
With the emerge of the network function virtualization (NFV) and software-defined network
(SDN), the SDN/NFV-enabled network has been recognized as one of the most promising …
(SDN), the SDN/NFV-enabled network has been recognized as one of the most promising …
Virtual network function embedding under nodal outage using reinforcement learning
With the emergence of various types of applications such as delay-sensitive applications,
future communication networks are expected to be increasingly complex and dynamic …
future communication networks are expected to be increasingly complex and dynamic …
Deep Reinforcement Learning Approach for Service Function Chain Embedding Oriented to Sdn/Nfv-Enabled Networks
Y Liu - Deep Reinforcement Learning Approach for Service … - papers.ssrn.com
With the emerge of the network function virtualization (NFV) and software-defined network
(SDN), the SDN/NFV-enabled network has been recognized as one of the most promising …
(SDN), the SDN/NFV-enabled network has been recognized as one of the most promising …
Drl-deploy: adaptive service function chains deployment with deep reinforcement learning
X Wei, Y Sheng, L Li, C Zhou - 2021 IEEE Intl Conf on Parallel …, 2021 - ieeexplore.ieee.org
With the development of software-defined networking (SDN) and network function
virtualization (NFV), the service function chain (SFC) has become a popular paradigm for …
virtualization (NFV), the service function chain (SFC) has become a popular paradigm for …
Drl-sfcp: Adaptive service function chains placement with deep reinforcement learning
Network function virtualization (NFV) is a promising paradigm that network functions can be
deployed on commodity servers instead of dedicated servers to enhance the resource …
deployed on commodity servers instead of dedicated servers to enhance the resource …
Joint admission control and resource allocation of virtual network embedding via hierarchical deep reinforcement learning
As an essential resource management problem in network virtualization, virtual network
embedding (VNE) aims to allocate the finite resources of physical network to sequentially …
embedding (VNE) aims to allocate the finite resources of physical network to sequentially …
Admission control and virtual network embedding in 5G networks: A deep reinforcement-learning approach
Fifth-generation (5G) networks are already available in major urban areas and are expected
to bring a major transformation to citizens' lives. 5G services, such as enhanced mobile …
to bring a major transformation to citizens' lives. 5G services, such as enhanced mobile …
Using Reinforcement Learning to Allocate and Manage Service Function Chains in Cellular Networks
It is expected that the next generation cellular networks provide a connected society with
fully mobility to empower the socio-economic transformation. Several other technologies will …
fully mobility to empower the socio-economic transformation. Several other technologies will …