TRUST: A TCP throughput prediction method in mobile networks

B Wei, W Kawakami, K Kanai, J Katto… - 2018 IEEE Global …, 2018 - ieeexplore.ieee.org
Throughput prediction is essential for ensuring high quality of service for video streaming
transmissions. However, current methods are incapable of accurately predicting throughput …

HOAH: A hybrid TCP throughput prediction with autoregressive model and hidden Markov model for mobile networks

B Wei, K Kanai, W Kawakami, J Katto - IEICE Transactions on …, 2018 - search.ieice.org
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 …

An empirical study of throughput prediction in mobile data networks

Y Liu, JYB Lee - 2015 IEEE global communications conference …, 2015 - ieeexplore.ieee.org
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 …

Improving streaming video with deep learning-based network throughput prediction

A Biernacki - Applied Sciences, 2022 - mdpi.com
Video streaming represents a significant part of Internet traffic. During the playback, a video
player monitors network throughput and dynamically selects the best video quality in given …

Formula-based TCP throughput prediction with available bandwidth

JH Hwang, C Yoo - IEEE Communications letters, 2010 - ieeexplore.ieee.org
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 …

A machine learning approach to TCP throughput prediction

M Mirza, J Sommers, P Barford… - IEEE/ACM Transactions …, 2010 - ieeexplore.ieee.org
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 …

Throughput prediction using recurrent neural network model

B Wei, M Okano, K Kanai… - 2018 IEEE 7th Global …, 2018 - ieeexplore.ieee.org
To ensure good quality of experience for user when transmitting video content, throughput
prediction can contribute to the selection of proper bitrate. In this paper, we propose a …

Realtime mobile bandwidth prediction using LSTM neural network and Bayesian fusion

L Mei, R Hu, H Cao, Y Liu, Z Han, F Li, J Li - Computer Networks, 2020 - Elsevier
With the increasing popularity of mobile Internet and the higher bandwidth requirement of
mobile applications, user Quality of Experience (QoE) is particularly important. For …

[HTML][HTML] LSTM-based throughput prediction for LTE networks

H Na, Y Shin, D Lee, J Lee - ICT Express, 2023 - Elsevier
Throughput prediction is crucial for reducing latency in time-critical services. We study the
attention-based LSTM model for predicting future throughput. First, we collected the TCP …

A deep learning approach to dynamic passive RTT prediction model for TCP

DH Hagos, PE Engelstad, A Yazid… - 2019 IEEE 38th …, 2019 - ieeexplore.ieee.org
The Round-Trip Time (RTT) is a property of the path between a sender and a receiver
communicating with Transmission Control Protocol (TCP) over an IP network and over the …