Beyond throughput, the next generation: A 5G dataset with channel and context metrics
In this paper, we present a 5G trace dataset collected from a major Irish mobile operator. The
dataset is generated from two mobility patterns (static and car), and across two application …
dataset is generated from two mobility patterns (static and car), and across two application …
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 …
[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 …
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 …
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 …
Performance analysis of ACTE: A bandwidth prediction method for low-latency chunked streaming
HTTP adaptive streaming with chunked transfer encoding can offer low-latency streaming
without sacrificing the coding efficiency. This allows media segments to be delivered while …
without sacrificing the coding efficiency. This allows media segments to be delivered while …
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 …
One step further: Tunable and explainable throughput prediction based on large-scale commercial networks
R Zhohov, A Palaios, P Geuer - 2021 IEEE 4th 5G World Forum …, 2021 - ieeexplore.ieee.org
Throughput prediction remains a relevant and challenging problem in the area of wireless
networking. Both users and service providers would benefit from the predictive Quality of …
networking. Both users and service providers would benefit from the predictive Quality of …