[HTML][HTML] A survey of deep reinforcement learning application in 5G and beyond network slicing and virtualization
Abstract The 5th Generation (5G) and beyond networks are expected to offer huge
throughputs, connect large number of devices, support low latency and large numbers of …
throughputs, connect large number of devices, support low latency and large numbers of …
Survey on Machine Learning-Enabled Network Slicing: Covering the Entire Life Cycle
A Donatti, SL Correa, JSB Martins… - … on Network and …, 2023 - ieeexplore.ieee.org
Network slicing (NS) is becoming an essential element of service management and
orchestration in communication networks, starting from mobile cellular networks and …
orchestration in communication networks, starting from mobile cellular networks and …
DBNS: A distributed blockchain-enabled network slicing framework for 5G networks
5G technology is expected to enable many innovative applications in different verticals.
These applications have heterogeneous performance requirements (eg, high data rate, low …
These applications have heterogeneous performance requirements (eg, high data rate, low …
Machine learning in network slicing-a survey
5G and beyond networks are expected to support a wide range of services, with highly
diverse requirements. Yet, the traditional “one-size-fits-all” network architecture lacks the …
diverse requirements. Yet, the traditional “one-size-fits-all” network architecture lacks the …
An artificial intelligence strategy for the deployment of future microservice-based applications in 6G networks
Future applications to be supported by 6G networks are envisaged to be realized by loosely-
coupled and independent microservices. In order to achieve an optimal deployment of …
coupled and independent microservices. In order to achieve an optimal deployment of …
A distributed blockchain-based broker for efficient resource provisioning in 5G networks
5G technology is expected to enable a plethora of new applications with distinct
requirements. Provisioning resources to accommodate such applications implies having a …
requirements. Provisioning resources to accommodate such applications implies having a …
A reinforcement learning approach for virtual network function chaining and sharing in softwarized networks
G KIbalya, J Serrat-Fernández… - IEEE transactions on …, 2022 - ieeexplore.ieee.org
Cognizant of the ease with which softwarized functions can be dynamically scaled according
to real time resource requirements, and the fact that multiple services can have common …
to real time resource requirements, and the fact that multiple services can have common …
A deep reinforcement learning-based algorithm for reliability-aware multi-domain service deployment in smart ecosystems
The transition towards full network virtualization will see services for smart ecosystems
including smart metering, healthcare and transportation among others, being deployed as …
including smart metering, healthcare and transportation among others, being deployed as …
Digital twin-assisted service function chaining in multi-domain computing power networks with multi-agent reinforcement learning
K Wang, P Yuan, MA Jan, F Khan, TR Gadekallu… - Future Generation …, 2024 - Elsevier
The emerging computing power network (CPN) is believed to undergo the paradigm
reformation of network function virtualization (NFV) and service function chaining (SFC). It is …
reformation of network function virtualization (NFV) and service function chaining (SFC). It is …
Hierarchical multi-agent deep reinforcement learning for SFC placement on multiple domains
Service Function Chaining (SFC) is the process of decomposing a network service into
multiple functions that successively process packets to deliver the end-to-end service. In a …
multiple functions that successively process packets to deliver the end-to-end service. In a …