[HTML][HTML] Highly accurate and reliable wireless network slicing in 5th generation networks: a hybrid deep learning approach
In current era, the next generation networks like 5th generation (5G) and 6th generation (6G)
networks requires high security, low latency with a high reliable standards and capacity. In …
networks requires high security, low latency with a high reliable standards and capacity. In …
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 …
Harris Hawks optimization based hybrid deep learning model for efficient network slicing in 5G network
Newly devised fifth-generation (5G) and sixth-generation (6G) networks next-generation
networks are extremely secure, low latency, dependable, and versatile. These next …
networks are extremely secure, low latency, dependable, and versatile. These next …
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 …
[HTML][HTML] A survey of deep reinforcement learning application in 5G and beyond network slicing and virtualization
Abstract The 5th Generation (5G) and beyond networks are expected to offer huge
throughputs, connect large number of devices, support low latency and large numbers of …
throughputs, connect large number of devices, support low latency and large numbers of …
IBNSlicing: Intent-based network slicing framework for 5G networks using deep learning
Network slicing is an important pillar of 5G networks that empowers the network operators to
provide the different quality of services (QoS) to the users. It enables network operators to …
provide the different quality of services (QoS) to the users. It enables network operators to …
Machine learning aided network slicing
M Toscano, F Grunwald, M Richart… - 2019 21st …, 2019 - ieeexplore.ieee.org
Future 5G wireless networks will need to deal with increasing heterogeneity in offered
services, performance requirements, and communication technologies. Network slicing has …
services, performance requirements, and communication technologies. Network slicing has …
Machine learning for network slicing resource management: A comprehensive survey
B Han, HD Schotten - arXiv preprint arXiv:2001.07974, 2020 - arxiv.org
The emerging technology of multi-tenancy network slicing is considered as an essential
feature of 5G cellular networks. It provides network slices as a new type of public cloud …
feature of 5G cellular networks. It provides network slices as a new type of public cloud …
[HTML][HTML] Integration of network slicing and machine learning into edge networks for low-latency services in 5G and beyond systems
A Domeke, B Cimoli, IT Monroy - Applied Sciences, 2022 - mdpi.com
Fifth-generation (5G) and beyond networks are envisioned to serve multiple emerging
applications having diverse and strict quality of service (QoS) requirements. To meet ultra …
applications having diverse and strict quality of service (QoS) requirements. To meet ultra …
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 …