Deep-NFVOrch: Leveraging deep reinforcement learning to achieve adaptive vNF service chaining in DCI-EONs
Due to the rise of cloud computing, how to realize adaptive and cost-effective virtual network
function service chaining (vNF-SC) in a datacenter interconnection based on an elastic …
function service chaining (vNF-SC) in a datacenter interconnection based on an elastic …
Design of 5G MEC-Based Networks With 1: N: K Protection Scheme
HD Chantre, NLS da Fonseca - IEEE Transactions on Network …, 2022 - ieeexplore.ieee.org
With the advent of 5G networks, telecommunications infrastructure providers (InP) have
faced numerous challenges as they attempt to meet the stringent quality of service …
faced numerous challenges as they attempt to meet the stringent quality of service …
A Survey on Machine and Deep Learning for Optical Communications
MA Amirabadi, SA Nezamalhosseini… - arXiv preprint arXiv …, 2024 - arxiv.org
The ever-growing complexity of optical communication systems and networks demands
sophisticated methodologies to extract meaningful insights from vast amounts of …
sophisticated methodologies to extract meaningful insights from vast amounts of …
On demand network services deployment in optical metro edge computing network based on user and application requests and infrastructure telemetry
We demonstrate an automatic optical metro network based on programmable traffic interface
and SOA ROADM. Automatic telemetry assisted network service chains deployment has …
and SOA ROADM. Automatic telemetry assisted network service chains deployment has …
A deep reinforcement learning approach for optimization and task-offloading of mobile edge computing in virtual radio access networks
J Biosca Caro - 2020 - upcommons.upc.edu
Mobile systems are increasing in number and, in the future, exponential growth is expected
with the deployment of new technologies like 5G and Internet of Things. Requirements from …
with the deployment of new technologies like 5G and Internet of Things. Requirements from …