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 …

Machine learning at the mobile edge: The case of dynamic adaptive streaming over http (dash)

R Behravesh, A Rao, DF Perez-Ramirez… - … on Network and …, 2022 - ieeexplore.ieee.org
Dynamic Adaptive Streaming over HTTP (DASH) is a standard for delivering video in
segments and adapting each segment's bitrate (quality), to adjust to changing and limited …

Empowering video players in cellular: Throughput prediction from radio network measurements

D Raca, AH Zahran, CJ Sreenan, RK Sinha… - Proceedings of the 10th …, 2019 - dl.acm.org
Today's HTTP adaptive streaming applications are designed to provide high levels of Quality
of Experience (QoE) across a wide range of network conditions. The adaptation logic in …

Predicting user quitting ratio in adaptive bitrate video streaming

P Lebreton, K Yamagishi - IEEE Transactions on Multimedia, 2020 - ieeexplore.ieee.org
To improve user engagement such as viewing time, this paper addresses the understanding
and prediction of the user quitting ratio for users watching videos using adaptive bit rate …

Improving UE energy efficiency through network-aware video streaming over 5g

B Palit, A Sen, A Mondal, A Zunaid… - … on Network and …, 2023 - ieeexplore.ieee.org
Adaptive Bitrate (ABR) Streaming over cellular networks has been well studied in the
literature; however, existing ABR algorithms primarily focus on improving the end-user …

Device-based Cellular Throughput Prediction for Video Streaming: Lessons from a Real-World Evaluation

D Raca, AH Zahran, CJ Sreenan… - … Machine Learning in …, 2024 - ieeexplore.ieee.org
AI-driven data analysis methods have garnered attention in enhancing the performance of
wireless networks. One such application is the prediction of downlink throughput in mobile …

EnDASH-A mobility adapted energy efficient ABR video streaming for cellular networks

A Mondal, B Palit, S Khandelia, N Pal… - 2020 IFIP …, 2020 - ieeexplore.ieee.org
User experience of watching videos in smartphones while travelling is often limited by fast
battery drainage. Existing client video players use adaptive bitrate (ABR) streaming through …

ML-driven DASH content pre-fetching in MEC-enabled mobile networks

R Behravesh, DF Perez-Ramirez, A Rao… - … on Network and …, 2020 - ieeexplore.ieee.org
Streaming high-quality video over dynamic radio networks is challenging. Dynamic adaptive
streaming over HTTP (DASH) is a standard for delivering video in segments, and adapting …

DASHbed: a testbed framework for large scale empirical evaluation of real-time DASH in wireless scenarios

D Raca, Y Sani, CJ Sreenan, JJ Quinlan - Proceedings of the 10th ACM …, 2019 - dl.acm.org
Recent years have witnessed an explosion of multimedia traffic carried over the Internet.
Video-on-demand and live streaming services are the most dominant services. To ensure …

5G Throughput Prediction For 28 GHz Channels Using Physical Space Information

H Nagata, R Kudo, K Takahashi, T Fujita… - 2024 IEEE Wireless …, 2024 - ieeexplore.ieee.org
Recent advances in wireless communication technology such as fifth-generation (5G) have
enabled the creation of various novel applications. As a result, a large number of devices …