Comparison of machine learning techniques applied to traffic prediction of real wireless network

D Alekseeva, N Stepanov, A Veprev… - IEEE …, 2021 - ieeexplore.ieee.org
Today, the traffic amount is growing inexorably due to the increase in the number of devices
on the network. Researchers analyze traffic by identifying sophisticated dependencies …

Machine learning for QoS prediction in vehicular communication: Challenges and solution approaches

A Palaios, CL Vielhaus, DF Külzer, C Watermann… - IEEE …, 2023 - ieeexplore.ieee.org
As cellular networks evolve towards the 6th generation, machine learning is seen as a key
enabling technology to improve the capabilities of the network. Machine learning provides a …

A survey: Network feature measurement based on machine learning

M Sun, B He, R Li, J Li, X Zhang - Applied Sciences, 2023 - mdpi.com
In network management, network measuring is crucial. Accurate network measurements can
increase network utilization, network management, and the ability to find network problems …

ERRANT: Realistic emulation of radio access networks

M Trevisan, AS Khatouni, D Giordano - Computer Networks, 2020 - Elsevier
Mobile devices drastically changed how people use the Internet. We use smartphones to
access a heterogeneous catalog of web services such as news, social networks …

Enabling Technologies for the Navigation and Communication of UAS Operating in the Context of BVLOS

E Politi, P Purucker, M Larsen, RJD Reis, RT Rajan… - Electronics, 2024 - mdpi.com
Unmanned Aerial Systems (UAS) have rapidly gained attraction in recent years as a
promising solution to revolutionize numerous applications and meet the growing demand for …

Predicting high delays in mobile broadband networks

AH Ahmed, S Hicks, MA Riegler, A Elmokashfi - IEEE Access, 2021 - ieeexplore.ieee.org
The number of applications that run over mobile networks, expecting bounded end-to-end
delay, is increasing steadily. However, the stochastic and shared nature of the wireless …

Prediction of round-trip time in 5g nsa networks in urban environment

S Zinno, A Botta, G Ventre… - 2024 IEEE International …, 2024 - ieeexplore.ieee.org
Latency is a critical component in influencing application performance and user experience,
and it is widely measured through Round Trip Time (RTT). In this work, we aim at predicting …

GLIDS: A Global Latency Information Dissemination System

C Krähenbühl, S Tabaeiaghdaei, S Scherrer… - arxiv preprint arxiv …, 2024 - arxiv.org
A recent advance in networking is the deployment of path-aware multipath network
architectures, where network endpoints are given multiple network paths to send their data …

Large scale “speedtest” experimentation in mobile broadband networks

C Midoglu, K Kousias, Ö Alay, A Lutu, A Argyriou… - Computer Networks, 2021 - Elsevier
Characterizing and evaluating the performance of Mobile Broadband (MBB) networks is a
vital need for today's societies. Testbed-based measurements are of great significance in …

Predictive Modeling of Delay in an LTE Network by Optimizing the Number of Predictors Using Dimensionality Reduction Techniques

M Stojčić, MK Banjanin, M Vasiljević, D Nedić… - Applied Sciences, 2023 - mdpi.com
Delay in data transmission is one of the key performance indicators (KPIs) of a network. The
planning and design value of delay in network management is of crucial importance for the …