Beyond throughput: A 4G LTE dataset with channel and context metrics

D Raca, JJ Quinlan, AH Zahran… - Proceedings of the 9th …, 2018 - dl.acm.org
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 …

A survey on client throughput prediction algorithms in wired and wireless networks

J Schmid, A Höss, BW Schuller - ACM Computing Surveys (CSUR), 2021 - dl.acm.org
Network communication has become a part of everyday life, and the interconnection among
devices and people will increase even more in the future. Nevertheless, prediction of Quality …

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 …

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 …

System modeling and performance evaluation of predictive QoS for future tele-operated driving

H Schippers, C Schüler, B Sliwa… - 2022 IEEE International …, 2022 - ieeexplore.ieee.org
Future Tele-operated Driving (ToD) applications place challenging Quality of Service (QoS)
demands on existing mobile communication networks that are highly important to comply …

Incorporating prediction into adaptive streaming algorithms: A QoE perspective

D Raca, AH Zahran, CJ Sreenan, RK Sinha… - Proceedings of the 28th …, 2018 - dl.acm.org
Streaming over the wireless channel is challenging due to rapid fluctuations in available
throughput. Encouraged by recent advances in cellular throughput prediction based on …

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 …

Gendt: mobile network drive testing made efficient with generative modeling

C Sun, K Xu, MK Marina, H Benn - Proceedings of the 18th International …, 2022 - dl.acm.org
Drive testing continues to play a key role in mobile network optimization for operators but its
high cost is a big concern. Alternative approaches like virtual drive testing (VDT) target …

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 …