Intelligent network slicing for V2X services toward 5G
Benefiting from the widely deployed LTE infrastructures, 5G wireless networks are becoming
a critical enabler for the emerging V2X communications. However, existing LTE networks …
a critical enabler for the emerging V2X communications. However, existing LTE networks …
Big data for 5G intelligent network slicing management
H Chergui, C Verikoukis - IEEE Network, 2020 - ieeexplore.ieee.org
Network slicing is a powerful tool to harness the full potential of 5G systems. It allows
verticals to own and exploit independent logical networks on top of the same physical …
verticals to own and exploit independent logical networks on top of the same physical …
Machine learning in network slicing—a survey
5G and beyond networks are expected to support a wide range of services, with highly
diverse requirements. Yet, the traditional “one-size-fits-all” network architecture lacks the …
diverse requirements. Yet, the traditional “one-size-fits-all” network architecture lacks the …
Optimal 5G network slicing using machine learning and deep learning concepts
MH Abidi, H Alkhalefah, K Moiduddin, M Alazab… - Computer Standards & …, 2021 - Elsevier
Network slicing is predetermined to hold up the diversity of emerging applications with
enhanced performance and flexibility requirements in the way of splitting the physical …
enhanced performance and flexibility requirements in the way of splitting the physical …
AI-native network slicing for 6G networks
With the global rollout of fifth generation (5G) networks, it is necessary to look beyond 5G
and envision 6G networks. 6G networks are expected to have space-air-ground integrated …
and envision 6G networks. 6G networks are expected to have space-air-ground integrated …
Artificial intelligence-assisted network slicing: Network assurance and service provisioning in 6G
6G networks are expected to provide instant global connectivity and enable the transition
from “connected things” to “connected intelligence,” where promising network slicing can …
from “connected things” to “connected intelligence,” where promising network slicing can …
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 …
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 …
Deep reinforcement learning for adaptive network slicing in 5G for intelligent vehicular systems and smart cities
A Nassar, Y Yilmaz - IEEE Internet of Things Journal, 2021 - ieeexplore.ieee.org
Intelligent vehicular systems and smart city applications are the fastest growing Internet-of-
Things (IoT) implementations at a compound annual growth rate of 30%. In view of the …
Things (IoT) implementations at a compound annual growth rate of 30%. In view of the …
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 …