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 …
Fulfillment of service level agreements via slice-aware radio resource management in 5G networks
In the context of 5G mobile networks, several new use cases with various requirements with
respect to throughput, latency, coverage, etc., should be addressed. To avoid deployment of …
respect to throughput, latency, coverage, etc., should be addressed. To avoid deployment of …
Real-Time RL-Based 5G Network Slicing Design and Traffic Model Distribution: Implementation for V2X and EMBB Services
As 5G mobile systems carry multiple services and applications, numerous user, and
application types with varying quality of service requirements inside a single physical …
application types with varying quality of service requirements inside a single physical …
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 …
AI-Based Resource Allocation in E2E Network Slicing with Both Public and Non-Public Slices
Network slicing is a key technology for 5G networks, which divides the traditional physical
network into multiple independent logical networks to meet the diverse requirements of end …
network into multiple independent logical networks to meet the diverse requirements of end …
Smart radio access selection and slice allocation for differentiated traffic management over 6G heterogeneous networks
CC González, M Murroni - Proceedings of the 15th ACM Multimedia …, 2024 - dl.acm.org
The upcoming 6G systems will represent a complete paradigm shift for global
communications, claiming a three-dimensional (3D) ecosystem with terrestrial and non …
communications, claiming a three-dimensional (3D) ecosystem with terrestrial and non …
RAN resource slicing in 5G using multi-agent correlated Q-learning
5G is regarded as a revolutionary mobile network, which is expected to satisfy a vast number
of novel services, ranging from remote health care to smart cities. However, heterogeneous …
of novel services, ranging from remote health care to smart cities. However, heterogeneous …
5G radio access network slicing: System-level evaluation and management
IP Belikaidis, A Georgakopoulos… - IEEE Vehicular …, 2019 - ieeexplore.ieee.org
In 5G wireless networks, different types of services will be handled, including critical
communications such as ultrareliable, low-latency communications (URLLC) and high-bit …
communications such as ultrareliable, low-latency communications (URLLC) and high-bit …
Two tier slicing resource allocation algorithm based on deep reinforcement learning and joint bidding in wireless access networks
G Chen, X Zhang, F Shen, Q Zeng - Sensors, 2022 - mdpi.com
Network slicing (NS) is an emerging technology in recent years, which enables network
operators to slice network resources (eg, bandwidth, power, spectrum, etc.) in different types …
operators to slice network resources (eg, bandwidth, power, spectrum, etc.) in different types …
Machine learning-assisted cross-slice radio resource optimization: Implementation framework and algorithmic solution
RA Ferrús Ferré, J Pérez Romero… - ITU journal on …, 2020 - upcommons.upc.edu
Network slicing is a central feature in 5G and beyond systems to allow operators to
customize their networks for different applications and customers. With network slicing …
customize their networks for different applications and customers. With network slicing …