[HTML][HTML] 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 …
[HTML][HTML] 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
P Barnard, I Macaluso, N Marchetti… - ICC 2022-IEEE …, 2022 - ieeexplore.ieee.org
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 …