Survey on machine learning for intelligent end-to-end communication toward 6G: From network access, routing to traffic control and streaming adaption
The end-to-end quality of service (QoS) and quality of experience (QoE) guarantee is quite
important for network optimization. The current 5G and conceived 6G network in the future …
important for network optimization. The current 5G and conceived 6G network in the future …
Comprehensive review on congestion detection, alleviation, and control for IoT networks
Abstract Context: The Internet of Things (IoT) comprises various computing devices that
operate on a non-standard platform and can connect to wireless networks to transmit data …
operate on a non-standard platform and can connect to wireless networks to transmit data …
When machine learning meets congestion control: A survey and comparison
Abstract Machine learning has seen a significant surge and uptake across many diverse
applications. The high flexibility, adaptability, and computing capabilities it provides extend …
applications. The high flexibility, adaptability, and computing capabilities it provides extend …
Loki: improving long tail performance of learning-based real-time video adaptation by fusing rule-based models
Maximizing the quality of experience (QoE) for real-time video is a long-standing challenge.
Traditional video transport protocols, represented by a few deterministic rules, can hardly …
Traditional video transport protocols, represented by a few deterministic rules, can hardly …
Starvation in end-to-end congestion control
To overcome weaknesses in traditional loss-based congestion control algorithms (CCAs),
researchers have developed and deployed several delay-bounding CCAs that achieve high …
researchers have developed and deployed several delay-bounding CCAs that achieve high …
Toward formally verifying congestion control behavior
The diversity of paths on the Internet makes it difficult for designers and operators to
confidently deploy new congestion control algorithms (CCAs) without extensive real-world …
confidently deploy new congestion control algorithms (CCAs) without extensive real-world …
Adaptive QoS-aware multipath congestion control for live streaming
X Ji, B Han, C Xu, C Song, J Su - Computer Networks, 2023 - Elsevier
Nowadays, the popularization of live streaming bring challenges in providing customized
Quality of Service (QoS) and satisfying diverse Quality of Experience (QoE) requirements …
Quality of Service (QoS) and satisfying diverse Quality of Experience (QoE) requirements …
A unified congestion control framework for diverse application preferences and network conditions
With the increase of diversity in application needs and networks, existing congestion control
algorithms (CCAs) do not accommodate this complicated reality. Previous classic CCAs are …
algorithms (CCAs) do not accommodate this complicated reality. Previous classic CCAs are …
Sammy: smoothing video traffic to be a friendly internet neighbor
On-demand streaming video traffic is managed by an adaptive bi-trate (ABR) algorithm
whose job is to optimize quality of experience (QoE) for a single video session. ABR …
whose job is to optimize quality of experience (QoE) for a single video session. ABR …
Spine: An efficient DRL-based congestion control with ultra-low overhead
Previous congestion control (CC) algorithms based on deep reinforcement learning (DRL)
directly adjust flow sending rate to respond to dynamic bandwidth change, resulting in high …
directly adjust flow sending rate to respond to dynamic bandwidth change, resulting in high …