A survey of anticipatory mobile networking: Context-based classification, prediction methodologies, and optimization techniques
A growing trend for information technology is to not just react to changes, but anticipate them
as much as possible. This paradigm made modern solutions, such as recommendation …
as much as possible. This paradigm made modern solutions, such as recommendation …
Edge computing assisted adaptive mobile video streaming
A Mehrabi, M Siekkinen… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
Nearly all bitrate adaptive video content delivered today is streamed using protocols that run
a purely client based adaptation logic. The resulting lack of coordination may lead to …
a purely client based adaptation logic. The resulting lack of coordination may lead to …
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 …
Towards cooperative data rate prediction for future mobile and vehicular 6G networks
B Sliwa, R Falkenberg… - 2020 2nd 6G Wireless …, 2020 - ieeexplore.ieee.org
Machine learning-based data rate prediction is one of the key drivers for anticipatory mobile
networking with applications such as dynamic Radio Access Technology (RAT) selection …
networking with applications such as dynamic Radio Access Technology (RAT) selection …
[HTML][HTML] LSTM-based throughput prediction for LTE networks
H Na, Y Shin, D Lee, J Lee - ICT Express, 2023 - Elsevier
Throughput prediction is crucial for reducing latency in time-critical services. We study the
attention-based LSTM model for predicting future throughput. First, we collected the TCP …
attention-based LSTM model for predicting future throughput. First, we collected the TCP …
QoE-traffic optimization through collaborative edge caching in adaptive mobile video streaming
Multi-access edge computing has been proposed as a promising approach to localize the
access of mobile clients to the network edges, therefore, reducing significantly the traffic …
access of mobile clients to the network edges, therefore, reducing significantly the traffic …
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 …
RTCoInfer: Real-time collaborative CNN inference for stream analytics on ubiquitous images
Z Zhang, S Yang, C Zhao, X Ren, H Yu… - IEEE Journal on …, 2023 - ieeexplore.ieee.org
Emerging intelligent applications based on accurate and timely stream analytics require real-
time CNN inference of massive data continuously generated at the pervasive end devices …
time CNN inference of massive data continuously generated at the pervasive end devices …
Understanding quality of experience of heuristic-based HTTP adaptive bitrate algorithms
Adaptive bitrate (ABR) algorithms play a crucial role in delivering the highest possible
viewer's Quality of Experience (QoE) in HTTP Adaptive Streaming (HAS). Online video …
viewer's Quality of Experience (QoE) in HTTP Adaptive Streaming (HAS). Online video …
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 …