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 …

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

In the research area of TCP throughput prediction, the well-known throughput model, a
function of loss rate, has some disadvantages such as difficulty of loss rate estimation and …

Conventional TCP congestion control algorithms, such as newReno and CUBIC, were
designed to avoid bandwidth collapse at times of network congestion. However, the different …

Throughput prediction is one of good solutions to improve quality of mobile applications (eg,
YouTube or Netflix) for video streaming delivery services in mobile networks. This is …

Predicting the expected throughput of TCP is important for several aspects such as eg
determining handover criteria for future multihomed mobile nodes or determining the …

TCP throughput prediction is an important capability for networks where multiple paths exist
between data senders and receivers. In this paper, we describe a new lightweight method …

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 …

In this paper, we explore a novel approach to end-to-end round-trip time (RTT) estimation
using a machine-learning technique known as the experts framework. In our proposal, each …

Throughput prediction contributes a lot to adaptive bitrate control, adjusting the quality of
video streaming accordingly to offer smooth media transmission and save energy at the …