Mobility prediction using a weighted Markov model based on mobile user classification

M Yan, S Li, CA Chan, Y Shen, Y Yu - Sensors, 2021 - mdpi.com
The vast amounts of mobile communication data collected by mobile operators can provide
important insights regarding epidemic transmission or traffic patterns. By analyzing historical …

A service-centric Q-learning algorithm for mobility robustness optimization in LTE

ML Marí-Altozano, SS Mwanje… - … on Network and …, 2021 - ieeexplore.ieee.org
Due to the diversity of mobile services and rising user expectations, mobile network
management has changed its focus from Quality of Service (QoS) to Quality of Experience …

Gumble: Uncertainty-aware conditional mobile data generation using bayesian learning

M Skocaj, LM Amorosa, M Lombardi… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
In the context of mobile and Internet of Things (IoT) networks, data naturally originates at the
edge, making crowdsourcing a convenient and inherent approach to data collection …

Content matters: Clustering web pages for QoE analysis with WebCLUST

LR Jiménez, M Solera, M Toril, C Gijón, P Casas - IEEE Access, 2021 - ieeexplore.ieee.org
The properties of a web page have a strong impact on its overall loading process, including
the download of its contents and their progressive rendering at the browser. As a …

Encrypted traffic classification based on unsupervised learning in cellular radio access networks

C Gijón, M Toril, M Solera, S Luna-Ramírez… - IEEE …, 2020 - ieeexplore.ieee.org
Traffic classification will be a key aspect in the operation of future 5G cellular networks,
where services of very different nature will coexist. Unfortunately, data encryption makes this …

Detection and localization of failures in hybrid fiber–coaxial network using big data platform

M Simakovic, Z Cica - Electronics, 2021 - mdpi.com
Modern HFC (Hybrid Fiber–Coaxial) networks comprise millions of users. It is of great
importance for HFC network operators to provide high network access availability to their …

[Retracted] Behavior of Sports Tourism Consumers Based on Cloud Computing and Mobile Big Data

H Wan - Journal of Electrical and Computer Engineering, 2022 - Wiley Online Library
With the rise of the sports tourism industry, the group of sports tourism consumers is also
growing. The study of the behavior of sports tourism consumers has therefore become a …

Construction of medical equipment maintenance network management platform based on big data

J Li, Y Mao, J Zhang - Frontiers in Physics, 2023 - frontiersin.org
Introduction: Medical equipment is an indispensable part of hospitals. It is the basic
condition and guarantee for the hospital to carry out medical services, scientific research …

Phantom: Towards vendor-agnostic resource consolidation in cloud environments

AA Abbasi, MAA Al-qaness, MA Elaziz, A Hawbani… - Electronics, 2019 - mdpi.com
Mobile-oriented internet technologies such as mobile cloud computing are gaining wider
popularity in the IT industry. These technologies are aimed at improving the user internet …

Quality of monitoring for cellular networks

NH Motlagh, S Kapoor, R Alhalaseh… - … on Network and …, 2021 - ieeexplore.ieee.org
5G networks and beyond introduce a larger number of Network Elements (NEs) and
functions than former cellular generations. The increase in NEs will, thus, result in …