In recent years, deep learning models have been more and more widely used in various
fields and have become a research hotspot for various tasks in artificial intelligence, but …

With the growing importance of real-time communications (RTC), designing congestion
control (CC) algorithms for RTC that achieve high network performance and QoE is gaining …

Learning-based adaptive bitrate (ABR) algorithms have revolutionized video streaming
solutions. With the growing demand for data privacy and the rapid development of mobile …

Packet loss inferring can enable a transceiver to distinguish between channel impairment
and collision for transmission failures, and thus can improve the network performance by …

Dynamic Adaptive Streaming over HTTP (DASH) stands as a leading streaming technology
embraced by major video platforms and smart TV manufacturers worldwide. Despite its …

Networking algorithms perform sequential decision-making on the Internet, where they take
decisions, eg, on when to transmit a packet. Traditional networking algorithms use fixed …

Current reinforcement learning (RL) algorithms, particularly RL-based networking
algorithms, demonstrate significant potential for overcoming limitations of manually-tuned …