This paper proposes an intelligent and context-aware application level fair scheduler based on reinforcement-learning, which can dynamically adjust relevant ...
Abstract—The delivery of video services in a controllable and resource efficient manner while meeting the various QoE/QoS requirements in mobile networks is ...
An intelligent and context-aware application level fair scheduler based on reinforcement-learning, which can dynamically adjust relevant scheduling ...
The implemented Q-learning method is analyzed with reference to the delivery of progressive video streaming services.We first highlight the performance issues ...
Publications · Reinforcement learning method for QoE-aware optimization of content delivery ...
Dive into the research topics of 'Reinforcement learning method for QoE-aware optimization of content delivery'. Together they form a unique fingerprint. Sort ...
Jun 22, 2022 · We utilize the deep Reinforcement Learning technique to optimize the bandwidth 345 distribution ¯π(l). In the following sub-sections, we ...
Mar 15, 2020 · This article proposes a control loop for transmission power and channel selection, based on Software Defined Networking and Reinforcement Learning (RL),
Therefore, an SFC framework that is QoS/QoE-aware inside a slice is a key in successful service orchestration and delivery in 5G core networks. While MEC ( ...
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By optimizing content delivery and processing, the proposed QoE-Aware Edge Computing ... "A machine learning-based adaptive video streaming method for edge.
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