Network Slicing using Deep Reinforcement Learning for Beyond 5G and 6G Systems
As a means to accommodate various wireless services flexibly, network slicing (NS) has
received much attention in recent years. In NS, a single physical network is divided into …
received much attention in recent years. In NS, a single physical network is divided into …
Deep reinforcement learning-based network slicing for beyond 5G
With the advent of 5G era, network slicing has received a great deal of attention as a means
to support a variety of wireless services in a flexible manner. Network slicing is a technique …
to support a variety of wireless services in a flexible manner. Network slicing is a technique …
Fast and Scalable Network Slicing by Integrating Deep Learning with Lagrangian Methods
Network slicing is a key technique in 5G and beyond for efficiently supporting diverse
services. Many network slicing solutions rely on deep learning to manage complex and high …
services. Many network slicing solutions rely on deep learning to manage complex and high …
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 constrained reinforcement learning based approach for network slicing
With the proliferation of mobile networks, we face strong diversification of services,
demanding the current network to embed more flexibility. To satisfy this daring need …
demanding the current network to embed more flexibility. To satisfy this daring need …
Two-tier resource allocation in dynamic network slicing paradigm with deep reinforcement learning
Network slicing is treated as a key technology of the rapidly developing 5G system.
Nevertheless, the environment of the users is extremely complex, leading to a great …
Nevertheless, the environment of the users is extremely complex, leading to a great …
Admission control for 5G core network slicing based on deep reinforcement learning
WF Villota-Jacome, OMC Rendon… - IEEE Systems …, 2022 - ieeexplore.ieee.org
Network slicing is a promising technology for providing customized logical and virtualized
networks for the fifth-generation (5G) use-cases (enhanced mobile broadband, ultrareliable …
networks for the fifth-generation (5G) use-cases (enhanced mobile broadband, ultrareliable …
Deep Reinforcement Learning-Based Network Slicing Algorithm for 5G Heterogenous Services
G Alkhoury, S Berri, A Chorti - GLOBECOM 2023-2023 IEEE …, 2023 - ieeexplore.ieee.org
Network slicing is a promising solution to handle the multiple use cases of the 5G system
with their diverse requirements. However, applying a static slicing scheme could cause …
with their diverse requirements. However, applying a static slicing scheme could cause …
Resource allocation method for network slicing using constrained reinforcement learning
With the proliferation of mobile networks, we face strong diversification of services,
demanding the network to be more flexible. To satisfy this dire need, network slicing is …
demanding the network to be more flexible. To satisfy this dire need, network slicing is …
GAN-based deep distributional reinforcement learning for resource management in network slicing
Network slicing is a key technology in 5G communications system, which aims to
dynamically and efficiently allocate resources for diversified services with distinct …
dynamically and efficiently allocate resources for diversified services with distinct …
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