Slice admission control in 5G cloud radio access network using deep reinforcement learning: A survey
The emergence of 5G networks has increased the demand for network resources, making
efficient resource management crucial. Slice admission control (SAC) is a process that …
efficient resource management crucial. Slice admission control (SAC) is a process that …
Explanation-Guided Deep Reinforcement Learning for Trustworthy 6G RAN Slicing
The complexity of emerging sixth-generation (6G) wireless networks has sparked an
upsurge in adopting artificial intelligence (AI) to underpin the challenges in network …
upsurge in adopting artificial intelligence (AI) to underpin the challenges in network …
A supervised active learning method for identifying critical nodes in IoT networks
The energy efficiency of wireless sensor networks (WSNs) as a key feature of the Internet of
Things (IoT) and fifth-generation (5G) mobile networks is determined by several key …
Things (IoT) and fifth-generation (5G) mobile networks is determined by several key …
Graphical modelling and optimization of ran function split deployed through uavs
In this paper, we demonstrate the potentials of deploying radio access network function split
architecture through aerial network and present a graph-based model to analyse and …
architecture through aerial network and present a graph-based model to analyse and …
Towards quantum-enabled 6G slicing
The quantum machine learning (QML) paradigms and their synergies with network slicing
can be envisioned to be a disruptive technology on the cusp of entering to era of sixth …
can be envisioned to be a disruptive technology on the cusp of entering to era of sixth …