Catching the Moment With LoL in Twitch-Like Low-Latency Live Streaming Platforms

A Bentaleb, MN Akcay, M Lim… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
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 …

Deep reinforcement learning with communication transformer for adaptive live streaming in wireless edge networks

S Wang, S Bi, YJA Zhang - IEEE Journal on Selected Areas in …, 2021 - ieeexplore.ieee.org
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 …

RAV: Learning-based adaptive streaming to coordinate the audio and video bitrate selections

W Li, J Huang, W Lyu, B Guo, W Jiang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Most commercial players adopt adaptive bitrate (ABR) algorithms to dynamically decide
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

J Han, K Xue, J Li, R Zhuang, R Li, R Yu… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Multipath TCP (MPTCP) improves the bandwidth utilization in wireless network scenarios,
since it can simultaneously utilize multiple interfaces for data transmission. However, with …

Chorus: Coordinating Mobile Multipath Scheduling and Adaptive Video Streaming

G Lv, Q Wu, Y Liu, Z Li, Q Tan, F Yang… - Proceedings of the 30th …, 2024 - dl.acm.org
Increasing bandwidth demands of mobile video streaming pose a challenge in optimizing
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 …

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 …

QoS-driven Contextual MAB for MPQUIC Supporting Video Streaming in Mobile Networks

W Yang, L Cai, S Shu, A Sepahi… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
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 …

A Survey on QoE Management Schemes for HTTP Adaptive Video Streaming: Challenges, Solutions, and Opportunities

R Kalan, I Dulger - IEEE Access, 2024 - ieeexplore.ieee.org
With the emergence of new video streaming technologies, advancements in networking
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

T Jiang, X Shi, S Cheng, Y Dai… - IEEE Communications …, 2022 - ieeexplore.ieee.org
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 …