Beyond throughput: A 4G LTE dataset with channel and context metrics
In this paper, we present a 4G trace dataset composed of client-side cellular key
performance indicators (KPIs) collected from two major Irish mobile operators, across …
performance indicators (KPIs) collected from two major Irish mobile operators, across …
[HTML][HTML] End-to-end congestion control approaches for high throughput and low delay in 4G/5G cellular networks
Cellular networks have evolved to support high peak bitrates with low loss rates as observed
by the higher layers. However, applications and services running over cellular networks are …
by the higher layers. However, applications and services running over cellular networks are …
On leveraging machine and deep learning for throughput prediction in cellular networks: Design, performance, and challenges
The highly dynamic wireless communication environment poses a challenge for many
applications (eg, adaptive multimedia streaming services). Providing accurate TP can …
applications (eg, adaptive multimedia streaming services). Providing accurate TP can …
EPASS360: QoE-aware 360-degree video streaming over mobile devices
The 360-degree video streaming system delivers a monocular panoramic video surrounding
the user, and the user can change the viewing direction of mobile devices to see different …
the user, and the user can change the viewing direction of mobile devices to see different …
Deep learning video analytics through edge computing and neural processing units on mobile devices
Many mobile applications have been developed to apply deep learning for video analytics.
Although these advanced deep learning models can provide us with better results, they also …
Although these advanced deep learning models can provide us with better results, they also …
Data-driven bandwidth prediction models and automated model selection for low latency
Today's HTTP adaptive streaming solutions use a variety of algorithms to measure the
available network bandwidth and predict its future values. Bandwidth prediction, which is …
available network bandwidth and predict its future values. Bandwidth prediction, which is …
Reinforcement learning-based QoE-oriented dynamic adaptive streaming framework
Dynamic adaptive streaming over the HTTP (DASH) standard has been widely adopted by
many content providers for online video transmission and greatly improve the performance …
many content providers for online video transmission and greatly improve the performance …
Context-aware and energy-aware video streaming on smartphones
High quality video streaming for mobile devices implies high energy consumption due to the
transmitted data and the variation of wireless signals. As an example, transmissions in …
transmitted data and the variation of wireless signals. As an example, transmissions in …
[HTML][HTML] 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 …
Macrotile: Toward QoE-aware and energy-efficient 360-degree video streaming
Tile-based streaming techniques have been widely used to save bandwidth in 360 video
streaming. However, it is a challenge to determine the right tile size which directly affects the …
streaming. However, it is a challenge to determine the right tile size which directly affects the …