Multi-Resource Network Slicing with Deep Reinforcement Learning for an Optimal QoS Satisfaction Ratio
Y Lai, H Yang, C Yang - 2024 16th International Conference on …, 2024 - ieeexplore.ieee.org
The 5G network provides low latency, high speed, and large bandwidth characteristics,
shorting the transmission time and providing efficient services to users. In a typical 5G …
shorting the transmission time and providing efficient services to users. In a typical 5G …
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 …
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 …
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 …
Real-time resource slicing for 5G RAN via deep reinforcement learning
R Xi, X Chen, Y Chen, Z Li - 2019 IEEE 25th International …, 2019 - ieeexplore.ieee.org
With the rapid growth of Internet of Things (IoT), network slicing is regarded as an important
technology to support the multi-users' needs for 5G mobile network. Network slicing allows …
technology to support the multi-users' needs for 5G mobile network. Network slicing allows …
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 …
Deep Reinforcement Learning for Online Resource Allocation in Network Slicing
Network slicing is a key enabler of 5G and beyond networks to satisfy the diverse quality of
service (QoS) requirements of different services simultaneously. In network slicing, radio …
service (QoS) requirements of different services simultaneously. In network slicing, radio …
Prediction-based Resource Slicing for Service Level Agreement Guarantee: A Deep Learning Approach
S Gao, H Zhang, Z Shi, Y Sun… - 2022 31st Wireless …, 2022 - ieeexplore.ieee.org
The diverse service scenarios of 5G pave the way for the application of network slicing. For
RAN-side network slicing, this paper proposes a novel prediction based resource slicing …
RAN-side network slicing, this paper proposes a novel prediction based resource slicing …
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 …
An end-to-end network slicing algorithm based on deep Q-learning for 5G network
T Li, X Zhu, X Liu - IEEE Access, 2020 - ieeexplore.ieee.org
As one of key technologies of the fifth-generation (5G) communication system, network
slicing can share the underlying infrastructure with different application requirements and …
slicing can share the underlying infrastructure with different application requirements and …