Achieving consistent low latency for wireless real-time communications with the shortest control loop
Real-time communication (RTC) applications like video conferencing or cloud gaming
require consistent low latency to provide a seamless interactive experience. However …
require consistent low latency to provide a seamless interactive experience. However …
Learning tailored adaptive bitrate algorithms to heterogeneous network conditions: A domain-specific priors and meta-reinforcement learning approach
Internet adaptive video streaming is a typical form of video delivery that leverages adaptive
bitrate (ABR) algorithms to provide video services with high quality of experience (QoE) for …
bitrate (ABR) algorithms to provide video services with high quality of experience (QoE) for …
Eavs: Edge-assisted adaptive video streaming with fine-grained serverless pipelines
Recent years have witnessed video streaming gradually evolve into one of the most popular
Internet applications. With the rapidly growing personalized demand for real-time video …
Internet applications. With the rapidly growing personalized demand for real-time video …
Buffer awareness neural adaptive video streaming for avoiding extra buffer consumption
Adaptive video streaming has already been a major scheme to transmit videos with high
quality of experience (QoE). However, the improvement of network traffics and the high …
quality of experience (QoE). However, the improvement of network traffics and the high …
Optimizing Adaptive Video Streaming with Human Feedback
Quality of Experience (QoE)-driven adaptive bitrate (ABR) algorithms are typically optimized
using QoE models that are based on the mean opinion score (MOS), while such principles …
using QoE models that are based on the mean opinion score (MOS), while such principles …
Enabling robust DRL-driven networking systems via teacher-student learning
Y Zheng, L Lin, T Zhang, H Chen… - IEEE Journal on …, 2021 - ieeexplore.ieee.org
The past few years have witnessed a surge of interest towards deep reinforcement learning
(DRL) in computer networks. With extraordinary ability of feature extraction, DRL has the …
(DRL) in computer networks. With extraordinary ability of feature extraction, DRL has the …
Learned internet congestion control for short video uploading
Short video uploading service has become increasingly important, as at least 30 million
videos are uploaded per day. However, we find that existing congestion control (CC) …
videos are uploaded per day. However, we find that existing congestion control (CC) …
MMVS: Enabling robust adaptive video streaming for wildly fluctuating and heterogeneous networks
S Wang, J Lin, Y Dai - IEEE Transactions on Multimedia, 2024 - ieeexplore.ieee.org
With the advancement of wireless technology, the fifth-generation mobile communication
network (5G) has the capability to provide exceptionally high bandwidth for supporting high …
network (5G) has the capability to provide exceptionally high bandwidth for supporting high …
An End-to-End Pipeline Perspective on Video Streaming in Best-Effort Networks: A Survey and Tutorial
Video streaming continues to captivate attention of users and service providers, dominate in
Internet traffic, and form a vibrant research field. Taking a pragmatic approach to reviewing …
Internet traffic, and form a vibrant research field. Taking a pragmatic approach to reviewing …
Enhancing low latency adaptive live streaming through precise bandwidth prediction
To ensure high performance for HTTP adaptive streaming (HAS), it is critical to provide
accurate prediction of end-to-end network bandwidth. Low Latency Live Streaming (LLLS) …
accurate prediction of end-to-end network bandwidth. Low Latency Live Streaming (LLLS) …