Device-Based Cellular Throughput Prediction for Video Streaming: Lessons From a Real-World Evaluation

Research output: Contribution to journal › Article › peer-review

Original language	English
Journal	IEEE Transactions on Machine Learning in Communications and Networking
DOIs	https://doi.org/10.1109/tmlcn.2024.3352541
Publication status	Published - 2024

Keywords

@article{8dc0443ea8e445fd8805a8f4173b340c,

title = "Device-Based Cellular Throughput Prediction for Video Streaming: Lessons From a Real-World Evaluation",

keywords = "Throughput, Computer science, Video streaming, Real-time computing, Operating system, Wireless",

author = "Ahmed Zahran",

year = "2024",

doi = "10.1109/tmlcn.2024.3352541",

language = "English",

journal = "IEEE Transactions on Machine Learning in Communications and Networking",

issn = "2831-316X",

}

TY - JOUR

T1 - Device-Based Cellular Throughput Prediction for Video Streaming: Lessons From a Real-World Evaluation

AU - Zahran, Ahmed

PY - 2024

Y1 - 2024

KW - Throughput

KW - Computer science

KW - Video streaming

KW - Real-time computing

KW - Operating system

KW - Wireless

U2 - 10.1109/tmlcn.2024.3352541

DO - 10.1109/tmlcn.2024.3352541

M3 - Article

SN - 2831-316X

JO - IEEE Transactions on Machine Learning in Communications and Networking

JF - IEEE Transactions on Machine Learning in Communications and Networking

ER -