A contemporary survey on live video streaming from a computation-driven perspective

NN Dao, AT Tran, NH Tu, TT Thanh, VNQ Bao… - ACM Computing …, 2022 - dl.acm.org
Live video streaming services have experienced significant growth since the emergence of
social networking paradigms in recent years. In this scenario, adaptive bitrate streaming …

QoE-driven IoT architecture: a comprehensive review on system and resource management

B Saovapakhiran, W Naruephiphat… - IEEE …, 2022 - ieeexplore.ieee.org
Internet of Things (IoT) services have grown substantially in recent years. Consequently, IoT
service providers (SPs) are emerging in the market and competing to offer their services …

Deep reinforcement learning based qoe-aware actor-learner architectures for video streaming in iot environments

M Naresh, V Das, P Saxena, M Gupta - Computing, 2022 - Springer
The number of connected smart devices enabling multimedia applications has expanded
tremendously in Internet-of-Things (IoT) environments. Specifically, the requirement for a …

Deep reinforcement learning-based approach for video streaming: Dynamic adaptive video streaming over HTTP

N Souane, M Bourenane, Y Douga - Applied Sciences, 2023 - mdpi.com
Dynamic adaptive video streaming over HTTP (DASH) plays a crucial role in delivering
video across networks. Traditional adaptive bitrate (ABR) algorithms adjust video segment …

Enhancing Healthcare Systems With Deep Reinforcement Learning: Insights Into D2D Communications and Remote Monitoring

Z Chkirbene, R Hamila, D Unal… - IEEE Open Journal …, 2024 - ieeexplore.ieee.org
The traditional healthcare system is increasingly challenged by its dependence on in-person
consultations and manual monitoring, struggling with issues of scalability, the immediacy of …

Qoe optimization in a live cellular network through rlc parameter tuning

J Mendoza, I de-la-Bandera, D Palacios, R Barco - Sensors, 2021 - mdpi.com
The mobile communication networks sector has experienced a great evolution during the
last few years. The emergence of new services as well as the growth in the number of …

A Deep Reinforcement Learning-Based Optimal Transmission Control Method for Streaming Videos

Y Yang, Y **ao - IEEE Access, 2024 - ieeexplore.ieee.org
Time delay and image quality degradation are main challenges faced by streaming video
transmission. How to make adaptive planning for transmission schemes according to …

Machine Learning for Fog Computing: Perceiving QoE for IoT Applications

E Ahmed, H Nashaat, R Rizk - International Conference on Advanced …, 2023 - Springer
Abstract Since the Internet of Things (IoT) is a rapidly growing industry, so does the range of
IoT applications; IoT transforms every aspect of our lives, from smart homes and cities to …

Data-Driven QoE Modeling for Real-Time Video Streaming and Web Browsing Services in Cellular Networks

LR Jimenez Perez - 2023 - riuma.uma.es
In recent years, traffic in mobile networks has increased exponentially due to data exchange
from specific services, namely video and web browsing services. Video traffic generates the …

Towards QoE-driven optimization of multi-dimensional content streaming

Y Alkhalili, J Weil, A Tahir, T Meuser… - Proceedings of the …, 2021 - research.rug.nl
Whereas adaptive video streaming for 2D video is well established and frequently used in
streaming services, adaptation for emerging higher-dimensional content, such as point …