A survey of anticipatory mobile networking: Context-based classification, prediction methodologies, and optimization techniques

N Bui, M Cesana, SA Hosseini, Q Liao… - … Surveys & Tutorials, 2017 - ieeexplore.ieee.org
A growing trend for information technology is to not just react to changes, but anticipate them
as much as possible. This paradigm made modern solutions, such as recommendation …

A survey on client throughput prediction algorithms in wired and wireless networks

J Schmid, A Höss, BW Schuller - ACM Computing Surveys (CSUR), 2021 - dl.acm.org
Network communication has become a part of everyday life, and the interconnection among
devices and people will increase even more in the future. Nevertheless, prediction of Quality …

Data-driven evaluation of anticipatory networking in LTE networks

N Bui, J Widmer - IEEE Transactions on Mobile Computing, 2018 - ieeexplore.ieee.org
Anticipatory networking is a recent branch of network optimization based on prediction of the
system state. Our work specifically tackles prediction-driven resource allocation for mobile …

Joint chance-constrained predictive resource allocation for energy-efficient video streaming

R Atawia, H Abou-Zeid, HS Hassanein… - IEEE Journal on …, 2016 - ieeexplore.ieee.org
Predictive resource allocation (PRA) techniques that exploit knowledge of the future signal
strength along roads have recently been recognized as promising approaches to save base …

[图书][B] Internet congestion control

S Varma - 2015 - books.google.com
Internet Congestion Control provides a description of some of the most important topics in
the area of congestion control in computer networks, with special emphasis on the analytical …

4G LTE on the road-what impacts download speeds most?

M Akselrod, N Becker, M Fidler… - 2017 IEEE 86th …, 2017 - ieeexplore.ieee.org
In the context of continually growing data volumes, which have to be processed and
transmitted in modern and future road traffic, the importance of the LTE technology will …

MobHet: Predicting human mobility using heterogeneous data sources

LM Silveira, JM de Almeida, HT Marques-Neto… - Computer …, 2016 - Elsevier
The literature is rich in mobility models that aim at predicting human mobility. Yet, these
models typically consider only a single kind of data source, such as data from mobile calls or …

Real-time throughput prediction for cognitive Wi-Fi networks

MA Khan, R Hamila, NA Al-Emadi, S Kiranyaz… - Journal of Network and …, 2020 - Elsevier
Wi-Fi as a wireless networking technology has become a widely acceptable commonplace.
Over the course of time, the applications landscape of Wi-Fi networks is growing …

Estimating downlink throughput from end-user measurements in mobile broadband networks

K Kousias, Ö Alay, A Argyriou, A Lutu… - 2019 IEEE 20th …, 2019 - ieeexplore.ieee.org
In recent years, Downlink (DL) throughput estimation in Mobile Broadband (MBB) networks
has gained immense popularity and it is expected to become a vital component of the …

[PDF][PDF] Cellular Bandwidth Prediction for Highly Automated Driving

F Jomrich, A Herzberger, T Meuser… - Proceedings of the …, 2018 - scholar.archive.org
To enable highly automated driving and the associated comfort services for the driver,
vehicles require a reliable and constant cellular data connection. However, due to their …