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 …
service providers (SPs) are emerging in the market and competing to offer their services …
Convolutional neural networks for continuous QoE prediction in video streaming services
In video streaming services, predicting the continuous user's quality of experience (QoE)
plays a crucial role in delivering high quality streaming contents to the user. However, the …
plays a crucial role in delivering high quality streaming contents to the user. However, the …
PiTree: Practical implementation of ABR algorithms using decision trees
Major commercial client-side video players employ adaptive bitrate (ABR) algorithms to
improve user quality of experience (QoE). With the evolvement of ABR algorithms …
improve user quality of experience (QoE). With the evolvement of ABR algorithms …
Sample efficient reinforcement learning method via high efficient episodic memory
D Yang, X Qin, X Xu, C Li, G Wei - IEEE Access, 2020 - ieeexplore.ieee.org
Reinforcement Learning (RL), especially Deep Reinforcement Learning (DRL), has made
great progress in many areas, such as robots, video games and driving. However, sample …
great progress in many areas, such as robots, video games and driving. However, sample …
Deep reinforcement learning based qoe-aware actor-learner architectures for video streaming in iot environments
The number of connected smart devices enabling multimedia applications has expanded
tremendously in Internet-of-Things (IoT) environments. Specifically, the requirement for a …
tremendously in Internet-of-Things (IoT) environments. Specifically, the requirement for a …
Live video-streaming evaluation using the ITU-T P. 1203 QoE model in LTE networks
HF Bermudez, JM Martinez-Caro, R Sanchez-Iborra… - Computer Networks, 2019 - Elsevier
Nowadays, video-streaming services have become the most consumed service by end-
users in mobile networks. This has led telecommunication operators to develop a series of …
users in mobile networks. This has led telecommunication operators to develop a series of …
Reinforcement learning-based rate adaptation in dynamic video streaming
NA Hafez, MS Hassan, T Landolsi - Telecommunication Systems, 2023 - Springer
Video streaming stands out as the most significant traffic type consumed by mobile devices.
This increased demand has been a major driver for research on bitrate adaptation …
This increased demand has been a major driver for research on bitrate adaptation …
Adaptive bitrate video streaming in non-orthogonal multiple access networks
Facing the ever-increasing demand for high quality video streaming and the dramatic
variations of wireless network environment, adaptive bitrate video streaming (ABS) emerges …
variations of wireless network environment, adaptive bitrate video streaming (ABS) emerges …
Traffic-aware rate adaptation for improving time-varying QoE factors in mobile video streaming
A Xiao, X Huang, S Wu, H Chen… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Mobile video has become one of the most valuable services in next-generation
heterogeneous networks, and users' quality of experience (QoE) is recognized as its …
heterogeneous networks, and users' quality of experience (QoE) is recognized as its …
Machine Learning for Fog Computing: Perceiving QoE for IoT Applications
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 …
IoT applications; IoT transforms every aspect of our lives, from smart homes and cities to …