Comparison of machine learning techniques applied to traffic prediction of real wireless network
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 …
on the network. Researchers analyze traffic by identifying sophisticated dependencies …
Machine learning for QoS prediction in vehicular communication: Challenges and solution approaches
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 …
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 …
increase network utilization, network management, and the ability to find network problems …
ERRANT: Realistic emulation of radio access networks
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 …
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
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 …
promising solution to revolutionize numerous applications and meet the growing demand for …
Predicting high delays in mobile broadband networks
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 …
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
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 …
and it is widely measured through Round Trip Time (RTT). In this work, we aim at predicting …
GLIDS: A Global Latency Information Dissemination System
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 …
architectures, where network endpoints are given multiple network paths to send their data …
Large scale “speedtest” experimentation in mobile broadband networks
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 …
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
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 …
planning and design value of delay in network management is of crucial importance for the …