Learn to improve: A novel deep reinforcement learning approach for beyond 5G network slicing
A Rkhami, Y Hadjadj-Aoul… - 2021 IEEE 18th Annual …, 2021 - ieeexplore.ieee.org
Network slicing remains one of the key technologies in 5G and beyond 5G networks (B5G).
By leveraging SDN and NVF techniques, it enables the coexistence of several …
By leveraging SDN and NVF techniques, it enables the coexistence of several …
Artificial algae optimization for Virtual Network Embedding problems in 5G network slicing scenarios
Network slicing enables diverse scenarios within The Fifth Generation of Cellular System
(5G) and beyond systems. Mapping virtual networks to their physical counterparts, known as …
(5G) and beyond systems. Mapping virtual networks to their physical counterparts, known as …
Application of meta-heuristics in 5g network slicing: a systematic review of the literature
Network slicing is a vital component of the 5G system to support diverse network scenarios,
creating virtual networks (slices) by mapping virtual network requests to real networks. The …
creating virtual networks (slices) by mapping virtual network requests to real networks. The …
DeepSlicing: Deep reinforcement learning assisted resource allocation for network slicing
Network slicing enables multiple virtual networks run on the same physical infrastructure to
support various use cases in 5G and beyond. These use cases, however, have very diverse …
support various use cases in 5G and beyond. These use cases, however, have very diverse …
A reinforcement learning based approach for 5G network slicing across multiple domains
G Kibalya, J Serrat, JL Gorricho… - … on Network and …, 2019 - ieeexplore.ieee.org
Network Function Virtualization (NFV) and Machine Learning (ML) are envisioned as
possible techniques for the realization of a flexible and adaptive 5G network. ML will provide …
possible techniques for the realization of a flexible and adaptive 5G network. ML will provide …
SDN/NFV, machine learning, and big data driven network slicing for 5G
5G networks are expected to be able to satisfy a variety of vertical services for mobile users,
business demands, and automotive industry. Network slicing is a promising technology for …
business demands, and automotive industry. Network slicing is a promising technology for …
Reinforcement learning for resource mapping in 5G network slicing
L Zhao, L Li - 2020 5th International Conference on Computer …, 2020 - ieeexplore.ieee.org
In the era of 5G, network slicing is considered to be an effective solution for flexible network
deployment and diversified services. It based on network virtualization technology to divide …
deployment and diversified services. It based on network virtualization technology to divide …
[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 …
A multi-agent reinforcement learning architecture for network slicing orchestration
The Network Slicing (NS) paradigm is one of the pillars of the future 5G networks and is
gathering great attention from both industry and scientific communities. In a NS scenario …
gathering great attention from both industry and scientific communities. In a NS scenario …
DeepSlice: A deep learning approach towards an efficient and reliable network slicing in 5G networks
Existing cellular communications and the upcoming 5G mobile network requires meeting
high-reliability standards, very low latency, higher capacity, more security, and high-speed …
high-reliability standards, very low latency, higher capacity, more security, and high-speed …