Enterprise Wi-Fi networks can greatly benefit from Artificial Intelligence and Machine
Learning (AI/ML) thanks to their well-developed management and operation capabilities. At …

This work addresses the challenge of forecasting temporal metrics that characterize cellular
traffic behavior. The ultimate goal is to provide network operators with a valuable tool for …

Due to the extensive implementation of the fifth generation wireless communication
networks (5 G), numerous base stations are being strategically deployed in densely …

The rapid proliferation of Internet of Things (IoT) devices and the transition to distributed
computing environments necessitate advanced intrusion detection systems (IDS) to …

Fifth generation cellular networks have high data rates and connectivity demands. The
relaying approaches are widely used in cellular networks to improve coverage, user …

The increasing cloudification and softwarization of networks foster the interplay among
multiple independently managed deployments. An appealing reason for such an interplay …

Cellular traffic forecasting is an essential task that enables network operators to perform
resource allocation and anomaly mitigation in fast-paced modern environments. However …

This study investigates the application of advanced machine learning models, specifically
Long Short-Term Memory (LSTM) networks and Gradient Booster models, for accurate …