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 …
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)
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 …
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
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 …
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 …
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
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 …
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
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 …
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
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 …
battery drainage. Existing client video players use adaptive bitrate (ABR) streaming through …
ML-driven DASH content pre-fetching in MEC-enabled mobile networks
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 …
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
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 …
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 …
enabled the creation of various novel applications. As a result, a large number of devices …