Joint resource allocation and online virtual network embedding for 5G networks
Next generation (5G) wireless networks are expected to accommodate proliferation of
connected devices and multimedia services. To support multimedia services in an agile, cost …
connected devices and multimedia services. To support multimedia services in an agile, cost …
Utility optimization for resource allocation in multi-access edge network slicing: A twin-actor deep deterministic policy gradient approach
To achieve the service-oriented features of the 5G, network slicing aims to create logical
virtual networks where multiple services are provided on a common physical infrastructure …
virtual networks where multiple services are provided on a common physical infrastructure …
Towards intelligent provisioning of virtualized network functions in cloud of things: A deep reinforcement learning based approach
Cloud of Things (CoT) is an integration of Internet of Things (IoT) and cloud computing,
where Network Function Virtualization (NFV) can dynamically provide Virtualized Network …
where Network Function Virtualization (NFV) can dynamically provide Virtualized Network …
Machine learning for dynamic resource allocation in network function virtualization
S Schneider, NP Satheeschandran… - 2020 6th IEEE …, 2020 - ieeexplore.ieee.org
Network function virtualization (NFV) proposes to replace physical middleboxes with more
flexible virtual network functions (VNFs). To dynamically adjust to ever-changing traffic …
flexible virtual network functions (VNFs). To dynamically adjust to ever-changing traffic …
DSPPV: dynamic service function chains placement with parallelized virtual network functions in mobile edge computing
HP Li, ME Kordi - Internet of Things, 2023 - Elsevier
This study configures an architecture based on Deep Reinforcement Learning (DRL) with
the aim of providing online services to end users in Mobile Edge Computing (MEC) …
the aim of providing online services to end users in Mobile Edge Computing (MEC) …
Multi-dimensional resource orchestration toward edge intelligence in 6g networks
The sixth generation (6G) networks will support a range of intelligent applications such as
face recognition and next-word prediction. However, relying on remote central clouds to …
face recognition and next-word prediction. However, relying on remote central clouds to …
Combining deep reinforcement learning with graph neural networks for optimal VNF placement
P Sun, J Lan, J Li, Z Guo, Y Hu - IEEE Communications Letters, 2020 - ieeexplore.ieee.org
Network Function Virtualization (NFV) technology utilizes software to implement network
function as virtual instances, which reduces the cost on various middlebox hardware. A …
function as virtual instances, which reduces the cost on various middlebox hardware. A …
SO‐VMEC: service offloading in virtual mobile edge computing using deep reinforcement learning
M Laroui, H Ibn‐Khedher, M Ali Cherif… - Transactions on …, 2022 - Wiley Online Library
Abstract Service offloading poses interesting challenges in current and next‐generation
networks. The classical network optimization algorithms are still painstakingly tune heuristics …
networks. The classical network optimization algorithms are still painstakingly tune heuristics …
A virtual network embedding algorithm based on double-layer reinforcement learning
M Li, ML Lu - The Computer Journal, 2021 - academic.oup.com
Virtual network embedding (VNE) algorithms dominate the effectiveness of resource sharing
in network virtualization. Heuristic embedding algorithms generally make embedding …
in network virtualization. Heuristic embedding algorithms generally make embedding …
Fine-grained management in 5G: DQL based intelligent resource allocation for network function virtualization in C-RAN
Recently, the installation of 5G networks offers a variety of real-time, high-performance and
human-oriented customized services. However, the current laying 5G structure is unable to …
human-oriented customized services. However, the current laying 5G structure is unable to …