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 …
Explora: Ai/ml explainability for the open ran
The Open Radio Access Network (RAN) paradigm is transforming cellular networks into a
system of disaggregated, virtualized, and software-based components. These self-optimize …
system of disaggregated, virtualized, and software-based components. These self-optimize …
A Review on Zernike Coefficient-Solving Algorithms (CSAs) Used for Integrated Optomechanical Analysis (IOA)
M Hu, Y Pan, N Zhang, X Xu - Photonics, 2023 - mdpi.com
An integrated optomechanical analysis (IOA) can predict the response of an optomechanical
system to temperature, gravity, vibrations, and other local loadings; thus, the normal …
system to temperature, gravity, vibrations, and other local loadings; thus, the normal …
Explainable and robust artificial intelligence for trustworthy resource management in 6G networks
Artificial intelligence (AI) is expected to be an integral part of radio resource management
(RRM) in sixth-generation (6G) networks. However, the opaque nature of complex deep …
(RRM) in sixth-generation (6G) networks. However, the opaque nature of complex deep …
Implementability improvement of deep reinforcement learning based congestion control in cellular network
The application of deep reinforcement learning to improve the adaptability of congestion
control is promising. However, the state-of-the-art method indicates a high packet loss and …
control is promising. However, the state-of-the-art method indicates a high packet loss and …
Long-short-view aware multi-agent reinforcement learning for signal snippet distillation in delirium movement detection
Q Pan, H Wang, J Lou, Y Zhang, B Ji, S Li - Information Sciences, 2024 - Elsevier
Automatic movement analysis utilizing surveillance video is believed to be an important and
convenient way for timely delirium detection in an Intensive Care Unit (ICU). However, video …
convenient way for timely delirium detection in an Intensive Care Unit (ICU). However, video …
Event-Triggered Reinforcement Learning Based Joint Resource Allocation for Ultra-Reliable Low-Latency V2X Communications
Future 6G-enabled vehicular networks face the challenge of ensuring ultra-reliable low-
latency communication (URLLC) for delivering safety-critical information in a timely manner …
latency communication (URLLC) for delivering safety-critical information in a timely manner …
Making TCP BBR Pacing Adaptive With Domain Knowledge Assisted Reinforcement Learning
W Pan, Y Xu, S Liu - IEEE Transactions on Network Science …, 2023 - ieeexplore.ieee.org
Congestion control algorithms (CCAs) are the fundamental building block of TCP protocol.
As one of the newest CCAs, TCP BBR is designed to operate around Kleinrock's optimal …
As one of the newest CCAs, TCP BBR is designed to operate around Kleinrock's optimal …
Ablation study of deep reinforcement learning congestion control in cellular network settings
H Naqvi, B Anggorojati - 2022 25th International Symposium on …, 2022 - ieeexplore.ieee.org
The application of deep reinforcement learning for congestion control (DRL-CC) is
promising. It improves the learnability of congestion control to adapt with the changes of …
promising. It improves the learnability of congestion control to adapt with the changes of …
Teacher-Student Learning based Low Complexity Relay Selection in Wireless Powered Communications
Radio Frequency Energy Harvesting (RF-EH) networks are key enablers of massive Internet-
of-things by providing controllable and long-distance energy transfer to energy-limited …
of-things by providing controllable and long-distance energy transfer to energy-limited …