5G network slice admission control using optimization and reinforcement learning

MA Haque, V Kirova - 2022 IEEE Wireless Communications …, 2022 - ieeexplore.ieee.org
Network slicing can enable operators to maximize revenue by optimizing the utilization of
network resources. As a result, slice admission control and resource allocation decisions …

Data-driven adaptive network slicing for multi-tenant networks

N Reyhanian, ZQ Luo - IEEE Journal of Selected Topics in …, 2021 - ieeexplore.ieee.org
Network slicing to support multi-tenancy plays a key role in improving the performance of 5G
and beyond networks. In this paper, we study dynamically slicing network resources in the …

A novel qos guaranteed joint resource allocation framework for 5g nr with supplementary uplink transmission

Y Sun, Y Huang, T Yu, X Chen, S Zhang - Electronics, 2023 - mdpi.com
In 5G scenarios, the dynamic resource allocation of network slicing is crucial for quality-of-
service (QoS) guaranteed under fluctuating traffic demands in rapidly changing …

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 …

Evaluation of multi-operator dynamic 5G network slicing for vehicular emergency scenarios

H Kukkalli, S Maheshwari, I Seskar… - 2020 IFIP Networking …, 2020 - ieeexplore.ieee.org
Dynamic network slicing involving multi-operator network resources is challenging due to
lack of cooperation and inter-operability. Currently available slicing techniques focusing on …

Prediction-based Hybrid Slicing Framework for Service Level Agreement Guarantee in Mobility Scenarios: A Deep Learning Approach

H Zhang, G Pan, S Xu, S Zhang, Z Jiang - arXiv preprint arXiv:2208.03460, 2022 - arxiv.org
Network slicing is a critical driver for guaranteeing the diverse service level agreements
(SLA) in 5G and future networks. Inter-slice radio resource allocation (IS-RRA) in the radio …

Action Elimination-assisted Deep Reinforcement Learning for B5G Cell Selection and Network Slicing

S Kim, S Kim, K Suh, B Shim - GLOBECOM 2022-2022 IEEE …, 2022 - ieeexplore.ieee.org
With the emergence of 5G era, network slicing has received much attention due to its ability
to support various services. Network slicing is an approach to partition a single physical …

Mobility aware and energy-efficient federated deep reinforcement learning assisted resource allocation for 5G-RAN slicing

Y Azimi, S Yousefi, H Kalbkhani, T Kunz - Computer Communications, 2024 - Elsevier
Network slicing is one of the foundations for the realization of 5G and beyond. However, due
to the mobility of the users and the network dynamics, flexible and efficient radio access …

Digital twin-assisted flexible slice admission control for 5G core network: A deep reinforcement learning approach

J Wang, J Li, J Liu - Future Generation Computer Systems, 2024 - Elsevier
Abstract 5G core network slicing is an important component of 5G end-to-end slicing, which
divides the physical network into multiple logical networks to handle various critical service …

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 …