Catching the Moment With LoL in Twitch-Like Low-Latency Live Streaming Platforms
Our earlier Low-on-Latency (dubbed as LoL) solution offered an accurate bandwidth
prediction and rate adaptation algorithm tailored for live streaming applications that targeted …
prediction and rate adaptation algorithm tailored for live streaming applications that targeted …
Deep reinforcement learning with communication transformer for adaptive live streaming in wireless edge networks
The emerging mobile edge computing (MEC) technology has been recently applied to
improve the Quality of Experience (QoE) of network services, such as live video streaming …
improve the Quality of Experience (QoE) of network services, such as live video streaming …
RAV: Learning-based adaptive streaming to coordinate the audio and video bitrate selections
Most commercial players adopt adaptive bitrate (ABR) algorithms to dynamically decide
each chunk's bitrate based on the perceived network bandwidth and buffer occupancy …
each chunk's bitrate based on the perceived network bandwidth and buffer occupancy …
EdAR: An experience-driven multipath scheduler for seamless handoff in mobile networks
Multipath TCP (MPTCP) improves the bandwidth utilization in wireless network scenarios,
since it can simultaneously utilize multiple interfaces for data transmission. However, with …
since it can simultaneously utilize multiple interfaces for data transmission. However, with …
Chorus: Coordinating Mobile Multipath Scheduling and Adaptive Video Streaming
Increasing bandwidth demands of mobile video streaming pose a challenge in optimizing
the Quality of Experience (QoE) for better user engagement. Multipath transmission …
the Quality of Experience (QoE) for better user engagement. Multipath transmission …
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 …
Tcp-neuroc: Neural adaptive tcp congestion control with online changepoint detection
W Li, S Gao, X Li, Y Xu, S Lu - IEEE Journal on Selected Areas …, 2021 - ieeexplore.ieee.org
Congestion control is a fundamental mechanism for TCP protocol, which has been
extensively studied in the past three decades. However, our experimental evaluations show …
extensively studied in the past three decades. However, our experimental evaluations show …
QoS-driven Contextual MAB for MPQUIC Supporting Video Streaming in Mobile Networks
Video streaming performance may degrade substantially in a mobile environment due to fast-
changing wireless links. On the other hand, to provide ubiquitous services, heterogeneous …
changing wireless links. On the other hand, to provide ubiquitous services, heterogeneous …
A Survey on QoE Management Schemes for HTTP Adaptive Video Streaming: Challenges, Solutions, and Opportunities
With the emergence of new video streaming technologies, advancements in networking
paradigms, and the increasing popularity of mobile and smart devices, we are witnessing …
paradigms, and the increasing popularity of mobile and smart devices, we are witnessing …
Human-cyber-physical ubiquitous intelligent communication: System architecture, key technologies, and challenges
The ternary-integration of human-cyber-physical (HCP) has the potential to enable
beneficial applications. Intelligent communication is the key technology to ensure a deep …
beneficial applications. Intelligent communication is the key technology to ensure a deep …