QoE in video transmission: A user experience-driven strategy

T Zhao, Q Liu, CW Chen - IEEE Communications Surveys & …, 2016 - ieeexplore.ieee.org
The increasing popularity of video (ie, audio-visual) applications or services over both wired
and wireless links has prompted recent growing interests in the investigations of quality of …

Analysis of buffer starvation with application to objective QoE optimization of streaming services

Y Xu, E Altman, R El-Azouzi, M Haddad… - IEEE Transactions …, 2014 - ieeexplore.ieee.org
Our purpose in this paper is to characterize buffer starvations for streaming services. The
buffer is modeled as a FIFO queue with exponential service time and Poisson arrivals. When …

Analytical QoE models for bit-rate switching in dynamic adaptive streaming systems

Y Xu, Y Zhou, DM Chiu - IEEE Transactions on Mobile …, 2014 - ieeexplore.ieee.org
Video streaming service in wireless networks is increasingly using dynamic selection of
video bit-rates to provide a high quality of user experience (QoE). The bit-rate switching …

Smart streaming for online video services

L Chen, Y Zhou, DM Chiu - IEEE transactions on multimedia, 2015 - ieeexplore.ieee.org
Bandwidth cost is a significant concern for online video service providers. Today's video
streaming systems mostly use HTTP streaming, with users accessing video segments as …

Machine learning for predicting QoE of video streaming in mobile networks

YT Lin, EMR Oliveira, SB Jemaa… - 2017 IEEE International …, 2017 - ieeexplore.ieee.org
As video accounts for larger wireless traffic, improving users' quality of experience becomes
important for network service providers. In this paper, we apply supervised machine learning …

Modeling buffer starvations of video streaming in cellular networks with large-scale measurement of user behavior

Y Xu, Z Xiao, H Feng, T Yang, B Hu… - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
Unraveling quality of experience (QoE) of video streaming is very challenging in bandwidth
shared wireless networks. It is unclear how QoE metrics such as starvation probability and …

Heavy-traffic analysis of QoE optimality for on-demand video streams over fading channels

PC Hsieh, IH Hou - IEEE/ACM Transactions on Networking, 2018 - ieeexplore.ieee.org
This paper proposes online scheduling policies to optimize quality of experience (QoE) for
video-on-demand applications in wireless networks. We consider wireless systems, where …

Energy efficiency-QoS tradeoff in cellular networks with base-station sleeping

J Wu, EWM Wong, YC Chan… - GLOBECOM 2017-2017 …, 2017 - ieeexplore.ieee.org
Energy efficiency and Quality of Service (QoS) are two important considerations for the
design and planning of cellular networks. One effective approach to handle the tradeoff …

A performance evaluation framework for interference-coupled cellular data networks

H Klessig, D Öhmann, AJ Fehske… - IEEE Transactions on …, 2015 - ieeexplore.ieee.org
In regard to the continuing network densification as a part of the solution to the mobile data
traffic demand explosion, managing future 5G ultra-dense networks is becoming …

QoE-optimal scheduling for on-demand video streams over unreliable wireless networks

IH Hou, PC Hsieh - Proceedings of the 16th ACM International …, 2015 - dl.acm.org
Video streaming is anticipated to dominate wireless traffic in the near future. We study
wireless systems where an access point delivers video streams to multiple clients over …