A graph neural network-based digital twin for network slicing management
Network slicing has emerged as a promising networking paradigm to provide resources
tailored for Industry 4.0 and diverse services in 5G networks. However, the increased …
tailored for Industry 4.0 and diverse services in 5G networks. However, the increased …
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 …
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 …
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 …
Data-driven dynamic resource scheduling for network slicing: A deep reinforcement learning approach
Network slicing is designed to support a variety of emerging applications with diverse
performance and flexibility requirements, by dividing the physical network into multiple …
performance and flexibility requirements, by dividing the physical network into multiple …
Intelligent joint network slicing and routing via GCN-powered multi-task deep reinforcement learning
In 6G mobile systems, network slicing is an emerging technology to support services with
distinct requirements by dividing a common infrastructure into multiple logical networks …
distinct requirements by dividing a common infrastructure into multiple logical networks …
DeepSlicing: Deep reinforcement learning assisted resource allocation for network slicing
Network slicing enables multiple virtual networks run on the same physical infrastructure to
support various use cases in 5G and beyond. These use cases, however, have very diverse …
support various use cases in 5G and beyond. These use cases, however, have very diverse …
5g network slicing: Analysis of multiple machine learning classifiers
M Malkoc, HA Kholidy - arXiv preprint arXiv:2310.01747, 2023 - arxiv.org
The division of one physical 5G communications infrastructure into several virtual network
slices with distinct characteristics such as bandwidth, latency, reliability, security, and service …
slices with distinct characteristics such as bandwidth, latency, reliability, security, and service …
Survey on network slicing for Internet of Things realization in 5G networks
S Wijethilaka, M Liyanage - IEEE Communications Surveys & …, 2021 - ieeexplore.ieee.org
Internet of Things (IoT) is an emerging technology that makes people's lives smart by
conquering a plethora of diverse application and service areas. In near future, the fifth …
conquering a plethora of diverse application and service areas. In near future, the fifth …
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 …