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 …

Bandwidth-sensitive applications such as adaptive video streaming rely on accurate
prediction of future network throughput to enable them to react to and compensate for the …

Throughput has a strong impact on user experience in cellular networks. The ability to
predict the throughput of a connection, before it starts, will bring new possibilities …

AI-driven data analysis methods have garnered attention in enhancing the performance of
wireless networks. One such application is the prediction of downlink throughput in mobile …

Throughput prediction is one of the promising techniques to improve the quality of service
(QoS) and quality of experience (QoE) of mobile applications. To address the problem of …

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 …

Throughput prediction remains a relevant and challenging problem in the area of wireless
networking. Both users and service providers would benefit from the predictive Quality of …

The availability of reliable predictions for cellular throughput would offer a fundamental
change in the way applications are designed and operated. Numerous cellular applications …

Throughput prediction is essential for ensuring high quality of service for video streaming
transmissions. However, current methods are incapable of accurately predicting throughput …

The highly dynamic wireless communication environment poses a challenge for many
applications (eg, adaptive multimedia streaming services). Providing accurate TP can …