AI-Enhanced Cloud-Edge-Terminal Collaborative Network: Survey, Applications, and Future Directions
The cloud-edge-terminal collaborative network (CETCN) is considered as a novel paradigm
for emerging applications owing to its huge potential in providing low-latency and ultra …
for emerging applications owing to its huge potential in providing low-latency and ultra …
Multi-objective Optimization of Space-Air-Ground Integrated Network Slicing Relying on a Pair of Central and Distributed Learning Algorithms
As an attractive enabling technology for next-generation wireless communications, network
slicing supports diverse customized services in the global space–air–ground-integrated …
slicing supports diverse customized services in the global space–air–ground-integrated …
Deep reinforcement learning based resource allocation for network slicing with massive MIMO
Network slicing is a critical technology for fifth-generation (5G) networks, owing to its merits
in meeting the diversified requirements of users. Effective resource allocation for network …
in meeting the diversified requirements of users. Effective resource allocation for network …
Multi-SP Network Slicing Parallel Relieving Edge Network Conflict
Network slicing is rapidly prevailing in the edge network, which provides computing,
network, and storage resources for various services. When the multiple service providers …
network, and storage resources for various services. When the multiple service providers …
Photonic integrated circuits based optimization and enhancing data transmission for radio access networks using machine learning model
RA Rajiv, S Bhardwaj, V Singh, DV Kolluru… - Optical and Quantum …, 2024 - Springer
By using edge caching and edge computing, fog radio access networks (F-RANs) are
viewed as suitable architectures to serve Internet of Things services. Current research on …
viewed as suitable architectures to serve Internet of Things services. Current research on …
Priority-Based Load Balancing With Multi-Agent Deep Reinforcement Learning for Space-Air-Ground Integrated Network Slicing
H Tu, P Bellavista, L Zhao, G Zheng… - IEEE Internet of …, 2024 - ieeexplore.ieee.org
Space-air-ground integrated network (SAGIN) slicing has been studied for supporting
diverse applications, which consists of the terrestrial layer (TL) deployed with base stations …
diverse applications, which consists of the terrestrial layer (TL) deployed with base stations …
Multi-Objective Multi-Dimensional Resource Allocation for Categorized QoS Provisioning in Beyond 5G and 6G Radio Access Networks
To effectively meet the diverse Quality of Service (QoS) requirements from proliferating
applications, a widely-adopted practical solution in radio access network (RAN) is …
applications, a widely-adopted practical solution in radio access network (RAN) is …
Enhancing Vehicular Networks With Hierarchical O-RAN Slicing and Federated DRL
With 5G technology evolving, Open Radio Access Network (O-RAN) solutions are becoming
crucial, especially for handling the diverse Quality of Service (QoS) needs in vehicular …
crucial, especially for handling the diverse Quality of Service (QoS) needs in vehicular …
Multi-Agent Deep Reinforcement Learning Joint Beamforming for Slicing Resource Allocation
D Yan, W Ke, CT Lam - IEEE Wireless Communications …, 2024 - ieeexplore.ieee.org
In 5G Radio Access Networks (RAN), network slicing is a crucial technology for offering a
variety of services. Inter-slice resource allocation is important for dynamic service …
variety of services. Inter-slice resource allocation is important for dynamic service …
Machine Learning-based Secure 5G Network Slicing: A Systematic Literature Review.
MH Alanazi - … Journal of Advanced Computer Science & …, 2023 - search.ebscohost.com
As the fifth-generation (5G) wireless networks continue to advance, the concept of network
slicing has gained significant attention for enabling the provisioning of diverse services …
slicing has gained significant attention for enabling the provisioning of diverse services …