When 5G meets deep learning: a systematic review
This last decade, the amount of data exchanged on the Internet increased by over a
staggering factor of 100, and is expected to exceed well over the 500 exabytes by 2020. This …
staggering factor of 100, and is expected to exceed well over the 500 exabytes by 2020. This …
Artificial intelligence-driven autonomous optical networks: 3S architecture and key technologies
In the optical networks, the dynamicity, the complexity and the heterogeneity have
dramatically increased owing to the deployment of advanced coherent techniques, and the …
dramatically increased owing to the deployment of advanced coherent techniques, and the …
Multi-associated parameters aggregation-based routing and resources allocation in multi-core elastic optical networks
Space division multiplexing (SDM), as a potential means of enhancing the capacity of optical
transmission systems, has attracted widespread attention. However, the adoption of SDM …
transmission systems, has attracted widespread attention. However, the adoption of SDM …
Elastic O-RAN slicing for industrial monitoring and control: A distributed matching game and deep reinforcement learning approach
In this work, we design an elastic open radio access network (O-RAN) slicing for the
Industrial Internet of things (IIoT). Due to the rapid spread of IoT in the industrial use-cases …
Industrial Internet of things (IIoT). Due to the rapid spread of IoT in the industrial use-cases …
Deep Learning‐Based Solutions for 5G Network and 5G‐Enabled Internet of Vehicles: Advances, Meta‐Data Analysis, and Future Direction
MS Almutairi - Mathematical Problems in Engineering, 2022 - Wiley Online Library
The advent of the 5G mobile network has brought a lot of benefits. However, it prompted new
challenges on the 5G network cybersecurity defense system, resource management …
challenges on the 5G network cybersecurity defense system, resource management …
ECO6G: Energy and cost analysis for network slicing deployment in beyond 5G networks
Fifth-generation (5G) wireless technology promises to be the critical enabler of use cases far
beyond smartphones and other connected devices. This next-generation 5G wireless …
beyond smartphones and other connected devices. This next-generation 5G wireless …
Resource reservation in sliced networks: An explainable artificial intelligence (XAI) approach
The growing complexity of wireless networks has sparked an upsurge in the use of artificial
intelligence (AI) within the telecommunication industry in recent years. In network slicing, a …
intelligence (AI) within the telecommunication industry in recent years. In network slicing, a …
Deep reinforcement learning-based radio function deployment for secure and resource-efficient NG-RAN slicing
Network functions virtualization is a prominent technology for next-generation radio access
network (NG-RAN) slicing to achieve customization for various vertical services, such as …
network (NG-RAN) slicing to achieve customization for various vertical services, such as …
Machine learning for broad-sensed internet congestion control and avoidance: A comprehensive survey
H Huang, X Zhu, J Bi, W Cao, X Zhang - IEEE Access, 2021 - ieeexplore.ieee.org
It is challenging to deal with the Internet congestion problem because of several factors such
as ever-growing traffic and distributed network architecture. The congestion problem can be …
as ever-growing traffic and distributed network architecture. The congestion problem can be …
Dynamic 5G RAN slice adjustment and migration based on traffic prediction in WDM metro-aggregation networks
5G radio access network (RAN) slicing has recently been proposed to adapt service
provision over substrate network resources to the diversified requirements of 5G services in …
provision over substrate network resources to the diversified requirements of 5G services in …