Zero touch management: A survey of network automation solutions for 5G and 6G networks
E Coronado, R Behravesh… - … Surveys & Tutorials, 2022 - ieeexplore.ieee.org
Mobile networks are facing an unprecedented demand for high-speed connectivity
originating from novel mobile applications and services and, in general, from the adoption …
originating from novel mobile applications and services and, in general, from the adoption …
Wi-Fi meets ML: A survey on improving IEEE 802.11 performance with machine learning
Wireless local area networks (WLANs) empowered by IEEE 802.11 (Wi-Fi) hold a dominant
position in providing Internet access thanks to their freedom of deployment and configuration …
position in providing Internet access thanks to their freedom of deployment and configuration …
[HTML][HTML] Analysis of the use of artificial intelligence in software-defined intelligent networks: A survey
The distributed structure of traditional networks often fails to promptly and accurately provide
the computational power required for artificial intelligence (AI), hindering its practical …
the computational power required for artificial intelligence (AI), hindering its practical …
Deep Reinforcement Learning based Multi-link Frame Aggregation Length Optimization in Next Generation Wi-Fi Networks
To cope with the complex and constantly changing communication environment, Multi-Link
Operation (MLO) has attracted extensive attention in research and development of next …
Operation (MLO) has attracted extensive attention in research and development of next …
Intelligent wireless networks: challenges and future research topics
M Abusubaih - Journal of Network and Systems Management, 2022 - Springer
Recently, artificial intelligence (AI) has become a primary tool of serving science and
humanity in all fields. This is due to the significant development in computing. The use of AI …
humanity in all fields. This is due to the significant development in computing. The use of AI …
NS+ NDT: Smart Integration of Network Simulation in Network Digital Twin, Application to IoT Networks
Abstract Network Digital Twin (NDT) and Network Simulation (NS) are two paradigms
leveraging virtual representations of networks to help decision-making. These tools may …
leveraging virtual representations of networks to help decision-making. These tools may …
Frame size optimization using a machine learning approach in wlan downlink mu-mimo channel
The IEEE 802.11 ac/n introduced frame aggregation technology to accommodate the
growing traffic demand and increase the performance of transmission efficiency and channel …
growing traffic demand and increase the performance of transmission efficiency and channel …
Performance of WLAN in Downlink MU-MIMO Channel with the Least Cost in Terms of Increased Delay
To improve the performance of IEEE 802.11 wireless local area (WLAN) networks, different
frame-aggregation algorithms are proposed by IEEE 802.11 n/ac standards to improve the …
frame-aggregation algorithms are proposed by IEEE 802.11 n/ac standards to improve the …
On the performance of QUIC over wireless mesh networks
The exponential growth in adoption of mobile phones and the widespread availability of
wireless networks has caused a paradigm shift in the way we access the Internet. It has not …
wireless networks has caused a paradigm shift in the way we access the Internet. It has not …
Generative Diffusion Model (GDM) for Optimization of Wi-Fi Networks
T Liu, X Fang, R He - arXiv preprint arXiv:2404.15684, 2024 - arxiv.org
Generative Diffusion Models (GDMs), have made significant strides in modeling complex
data distributions across diverse domains. Meanwhile, Deep Reinforcement Learning (DRL) …
data distributions across diverse domains. Meanwhile, Deep Reinforcement Learning (DRL) …