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Review Article Open Access July 20, 2021

Quality of Experience (QoE) and Network Performance Modelling for Multimedia Traffic

Prasanth Kosaraju 1,* and Venu Madhav Nadella 2
1
Dataquest Corp, USA
2
CYMA SYSTEMS INC, USA
Publihed in: Current Research in Public Health (Volume 1, Issue 1, 2021)
Page(s): 1-13
DOI: 10.31586/jaibd.2021.1358
Received
May 11, 2021
Revised
June 28, 2021
Accepted
July 18, 2021
Published
July 20, 2021
Keywords
Quality of Experience (QoE); Quality of Service (QoS); Multimedia Traffic; Network Performance Modelling; Video Streaming; Jitter; Packet Loss; Throughput; Mean Opinion Score (MOS); Simulation; Analytical Modeling; Adaptive Bitrate; User Satisfaction; 5G Networks; Machine Learning; Network Optimization
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright: Copyright © The Author(s), 2021. Published by Scientific Publications
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Cite This Article

APA Style
Kosaraju, P. , & Nadella, V. M. (2021). Quality of Experience (QoE) and Network Performance Modelling for Multimedia Traffic. Current Research in Public Health, 1(1), 1-13. https://doi.org/10.31586/jaibd.2021.1358
ACS Style
Kosaraju, P. ; Nadella, V. M. Quality of Experience (QoE) and Network Performance Modelling for Multimedia Traffic. Current Research in Public Health 2021 1(1), 1-13. https://doi.org/10.31586/jaibd.2021.1358
Chicago/Turabian Style
Kosaraju, Prasanth, and Venu Madhav Nadella. 2021. "Quality of Experience (QoE) and Network Performance Modelling for Multimedia Traffic". Current Research in Public Health 1, no. 1: 1-13. https://doi.org/10.31586/jaibd.2021.1358
AMA Style
Kosaraju P, Nadella VM. Quality of Experience (QoE) and Network Performance Modelling for Multimedia Traffic. Current Research in Public Health. 2021; 1(1):1-13. https://doi.org/10.31586/jaibd.2021.1358 
@Article{crph1358,
AUTHOR = {Kosaraju, Prasanth and Nadella, Venu Madhav},
TITLE = {Quality of Experience (QoE) and Network Performance Modelling for Multimedia Traffic},
JOURNAL = {Current Research in Public Health},
VOLUME = {1},
YEAR = {2021},
NUMBER = {1},
PAGES = {1-13},
URL = {https://www.scipublications.com/journal/index.php/JAIBD/article/view/1358},
ISSN = {2831-5162},
DOI = {10.31586/jaibd.2021.1358},
ABSTRACT = {This research explores the complex relationship between user-perceived Quality of Experience (QoE) and underlying network performance for multimedia traffic. As video streaming, online gaming, and interactive media dominate modern networks, ensuring consistent QoE has become a key challenge. The study develops a network performance model that integrates objective Quality of Service (QoS) parameters—such as delay, jitter, packet loss, and throughput—with subjective QoE metrics like Mean Opinion Score (MOS) and perceptual quality indices. Using simulation-based and analytical approaches, the paper evaluates how network conditions affect multimedia traffic behavior and user satisfaction. The results highlight critical thresholds for QoE degradation, enabling predictive modeling for adaptive multimedia delivery and real-time optimization. This work contributes to designing intelligent, user-centered network management systems capable of balancing resource efficiency and end-user satisfaction.},
}
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AB  - This research explores the complex relationship between user-perceived Quality of Experience (QoE) and underlying network performance for multimedia traffic. As video streaming, online gaming, and interactive media dominate modern networks, ensuring consistent QoE has become a key challenge. The study develops a network performance model that integrates objective Quality of Service (QoS) parameters—such as delay, jitter, packet loss, and throughput—with subjective QoE metrics like Mean Opinion Score (MOS) and perceptual quality indices. Using simulation-based and analytical approaches, the paper evaluates how network conditions affect multimedia traffic behavior and user satisfaction. The results highlight critical thresholds for QoE degradation, enabling predictive modeling for adaptive multimedia delivery and real-time optimization. This work contributes to designing intelligent, user-centered network management systems capable of balancing resource efficiency and end-user satisfaction.
DO  - Quality of Experience (QoE) and Network Performance Modelling for Multimedia Traffic
TI  - 10.31586/jaibd.2021.1358
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