Machine learning-based QoE prediction for video streaming over LTE network

机译：基于机器学习的LTE网络上视频流的QoE预测

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This paper presents a machine-learning software solution that performs a multi-dimensional prediction of QoE (Quality of Experience) based on network-related SIFs (System Influence Factors) as input data. The proposed solution is verified through experimental study based on video streaming emulation over LTE (Long Term Evolution) which allows the measurement of network-related SIF (i.e., delay, jitter, loss), and subjective assessment of MOS (Mean Opinion Score). Obtained results show good performance of proposed MOS predictor in terms of mean prediction error and thereby can serve as an encouragement to implement such solution in all-IP (Internet Protocol) real environment.

机译：本文提出了一种机器学习软件解决方案，该解决方案基于与网络相关的SIF（系统影响因子）作为输入数据，对QoE（体验质量）进行多维预测。通过基于LTE（长期演进）上视频流仿真的实验研究对提出的解决方案进行了验证，该研究允许测量与网络相关的SIF（即延迟，抖动，丢失）以及对MOS的主观评估（平均意见得分）。获得的结果表明，就平均预测误差而言，所提出的MOS预测器具有良好的性能，从而可以鼓励在全IP（Internet协议）真实环境中实施这种解决方案。

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来源
《2018 17th International Symposium INFOTEH-JAHORINA》|2018年|1-5|共5页
会议地点 East Sarajevo(BA)
作者
Tarik Begluk; Jasmina Baraković Husić; Sabina Baraković;
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作者单位

Faculty of Electrical Engineering, University of Sarajevo, Sarajevo, Bosnia and Herzegovina;

Faculty of Electrical Engineering, University of Sarajevo, Sarajevo, Bosnia and Herzegovina;

Ministry of Security of Bosnia and Herzegovina, Sarajevo, Bosnia and Herzegovina;

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原文格式 PDF
正文语种 eng
中图分类
关键词
Quality of experience; Quality of service; Streaming media; Long Term Evolution; Estimation; Machine learning; Delays;

机译：体验质量;服务质量;流媒体;长期演进;估计;机器学习;延迟;;
入库时间 2022-08-26 14:05:04

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机译：SDN上下文中基于自适应机器学习的QoE方法用于视频流服务
2. Live video-streaming evaluation using the ITU-T P.1203 QoE model in LTE networks [J] . Bermudez H-F, Martinez-Caro J-M, Sanchez-Iborra R., Computer networks . 2019,第Deca24期

机译：在LTE网络中使用ITU-T P.1203 QoE模型进行实时视频流评估
3. QoE-aware Optimization of Video Stream Downlink Scheduling Over LTE Networks Using RNNs and Genetic Algorithm [J] . Tarik Ghalut, Hadi Larijani, Ali Shahrabi Procedia Computer Science . 2016,第1期

机译：使用RNN和遗传算法的LTE网络上视频流下行链路调度的QoE感知优化
4. Machine learning-based QoE prediction for video streaming over LTE network [C] . Tarik Begluk, Jasmina Barakovi? Husi?, Sabina Barakovi? International Symposium INFOTEH-JAHORINA . 2018

机译：基于机器学习的QoE预测用于LTE网络的视频流
5. Machine Learning-Based Inverse Solution for Predictions of Impact Conditions during Car Collisions [D] . Li, Tiange. 2019

机译：基于机器学习的逆解决方案，用于在汽车碰撞期间的影响条件的预测
6. Uplink vs. Downlink: Machine Learning-Based Quality Prediction for HTTP Adaptive Video Streaming [O] . Frank Loh, Fabian Poignée, Florian Wamser, 2021

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7. Impact of the Impairment in 360-Degree Videos on Users VR Involvement and Machine Learning-Based QoE Predictions [O] . Muhammad Shahid Anwar, Jing Wang, Sadique Ahmad, 2020

机译：360度视频损伤对用户VR参与和基于机器学习的QoE预测的影响

Machine learning-based QoE prediction for video streaming over LTE network

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