Future intelligent wireless networks demand an adaptive learning approach towards a
shared learning model to allow collaboration between data generated by network elements …

This article aims to examine the research trends in the development of mobile networks from
machine learning. The methodological approach starts from an analysis of 260 academic …

The maximization of the network lifespan is the main goal of designing SDN-enabled WSNs
with limited network resource utilization. Clustering and routing techniques are widely used …

The fifth-generation (5G) wireless communications have been deployed in many countries
with the following features: wireless networks at 20 Gbps as peak data rate, a latency of 1 …

Device mobility in dense Wi-Fi networks offers several challenges. Two well-known
problems related to device mobility are handover prediction and access point selection. Due …

Multi-access edge computing (MEC) is a key enabler to fulfill the promises of a new
generation of immersive and low-latency services in 5G and Beyond networks. MEC …

Abstract The Mobile Edge Computing is a novel prototype that was developed recently due
to the benefits and expanding nature of electronic data-processing techniques close to …

We proposed and validated a novel method for predicting IP network traffic in this paper. The
IP network traffic was forecasted by employing a combination of ARIMA (Auto-Regressive …

6G heterogeneous wireless networks (HWNs) mark a significant advancement in network
technologies, offering unparalleled opportunities to enhance quality of service (QoS) and …

The importance of networks, in their broad sense, is rapidly and massively growing in
modern-day society thanks to unprecedented communication capabilities offered by …