عنوان انگلیسی مقاله:
When Wireless Video Streaming Meets AI: A Deep Learning Approach
ترجمه فارسی عنوان مقاله:
وقتی جریان ویدئو بی سیم با هوش مصنوعی روبرو می شود: رویکرد یادگیری عمیق
IEEE - IEEE Wireless Communications;2020;27;2;10.1109/MWC.001.1900220
Lu Liu, Han Hu, Yong Luo, and Yonggang Wen
Wireless multimedia big data contains valuable
information on users’ behavior, content characteristics
and network dynamics, which can drive
system design and optimization. The fundamental
issue is how to mine data intelligence and further
incorporate them into wireless multimedia systems.
Motivated by the success of deep learning, in this
work we propose and present an integration of
wireless multimedia systems and deep learning.
We start with decomposing a wireless multimedia
system into three components, including end-users,
network environment, and servers, and present
several potential topics to embrace deep learning
techniques. After that, we present deep learning
based QoS/QoE prediction and bitrate adjustment
as two case-studies. In the former case, we present
an end-to-end and unified framework that consists
of three phases, including data preprocessing, representation
learning, and prediction. It achieves
significant performance improvement in comparison
to the best baseline algorithm (88 percent vs.
80 percent). In the latter case, we present a deep
reinforcement learning based framework for bitrate
adjustment. Evaluating the performance with a real
wireless dataset, we show that the perceived video
QoE average bitrate, rebuffering time and bitrate
variation can be improved significantly.