Holistic network virtualization and pervasive network intelligence for 6G
In this tutorial paper, we look into the evolution and prospect of network architecture and
propose a novel conceptual architecture for the 6th generation (6G) networks. The proposed …
propose a novel conceptual architecture for the 6th generation (6G) networks. The proposed …
[HTML][HTML] A survey on Zero touch network and Service Management (ZSM) for 5G and beyond networks
Faced with the rapid increase in smart Internet-of-Things (IoT) devices and the high demand
for new business-oriented services in the fifth-generation (5G) and beyond network, the …
for new business-oriented services in the fifth-generation (5G) and beyond network, the …
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 …
Contention window optimization in IEEE 802.11 ax networks with deep reinforcement learning
W Wydmański, S Szott - 2021 IEEE wireless communications …, 2021 - ieeexplore.ieee.org
The proper setting of contention window (CW) values has a significant impact on the
efficiency of Wi-Fi networks. Unfortunately, the standard method used by 802.11 networks is …
efficiency of Wi-Fi networks. Unfortunately, the standard method used by 802.11 networks is …
Testbed for 5G connected artificial intelligence on virtualized networks
The fifth-generation (5G) cellular networks incorporate a large variety of technologies in
order to address very distinct use cases. Assessing these technologies and investigating …
order to address very distinct use cases. Assessing these technologies and investigating …
Potential and pitfalls of multi-armed bandits for decentralized spatial reuse in WLANs
Spatial Reuse (SR) has recently gained attention to maximize the performance of IEEE
802.11 Wireless Local Area Networks (WLANs). Decentralized mechanisms are expected to …
802.11 Wireless Local Area Networks (WLANs). Decentralized mechanisms are expected to …
Usage of network simulators in machine-learning-assisted 5G/6G networks
Without any doubt, Machine Learning (ML) will be an important driver of future
communications due to its foreseen performance when applied to complex problems …
communications due to its foreseen performance when applied to complex problems …
Trends in intelligent communication systems: review of standards, major research projects, and identification of research gaps
The increasing complexity of communication systems, following the advent of
heterogeneous technologies, services and use cases with diverse technical requirements …
heterogeneous technologies, services and use cases with diverse technical requirements …
A general approach for traffic classification in wireless networks using deep learning
Traffic Classification (TC) systems allow inferring the application that is generating the traffic
being analyzed. State-of-the-art TC algorithms are based on Deep Learning (DL) and have …
being analyzed. State-of-the-art TC algorithms are based on Deep Learning (DL) and have …
FSC: Two-scale AI-driven fair sensitivity control for 802.11 ax networks
With the excessive demand on the mobile and wireless usage, IEEE 802.11 ax is released
to enable concurrent transmissions in the dense WLANs, enhanced with the Spatial Reuse …
to enable concurrent transmissions in the dense WLANs, enhanced with the Spatial Reuse …