Modern wireless communication systems rely heavily on multiple antennas and their
corresponding signal processing to achieve optimal performance. As 5G and 6G networks …

This study endeavors to investigate the effectiveness of machine learning-based
methodologies in enhancing the performance and reliability of Power Line Communication …

We propose a bandwidth prediction approach based on deep learning. The approach is
intended to accurately predict the bandwidth of various types of mobile networks. We first …

This paper proposes a supervised learning based cell selection/reselection prediction
technique incorporating ensembles, and is reinforced by readily available lasso and ridge …

This paper presents a method for load balancing of cellular base stations based on self-
organized networks and the Q-learning algorithm (reinforcement learning). The aim of the …

There are an increasing diversity of devices and networks for making and receiving video
and/or audio calls. The prevalence of smartphones, multiple smart speakers and various …

This study endeavors to investigate the effectiveness of machine learning-based
methodologies in enhancing the performance and reliability of Power Line Communication …

Drone applications in 5th generation (5G) networks mainly focus on services and use cases
such as providing connectivity during crowded events, unmanned aerial vehicle (UAV) traffic …