QARC: Video quality aware rate control for real-time video streaming based on deep reinforcement learning
Real-time video streaming is now one of the main applications in all network environments.
Due to the fluctuation of throughput under various network conditions, how to choose a …
Due to the fluctuation of throughput under various network conditions, how to choose a …
Mobile access bandwidth in practice: Measurement, analysis, and implications
Recent advances in mobile technologies such as 5G and WiFi 6E do not seem to deliver the
promised mobile access bandwidth. To effectively characterize mobile access bandwidth in …
promised mobile access bandwidth. To effectively characterize mobile access bandwidth in …
Machine learning for broad-sensed internet congestion control and avoidance: A comprehensive survey
H Huang, X Zhu, J Bi, W Cao, X Zhang - IEEE Access, 2021 - ieeexplore.ieee.org
It is challenging to deal with the Internet congestion problem because of several factors such
as ever-growing traffic and distributed network architecture. The congestion problem can be …
as ever-growing traffic and distributed network architecture. The congestion problem can be …
A survey: Network feature measurement based on machine learning
M Sun, B He, R Li, J Li, X Zhang - Applied Sciences, 2023 - mdpi.com
In network management, network measuring is crucial. Accurate network measurements can
increase network utilization, network management, and the ability to find network problems …
increase network utilization, network management, and the ability to find network problems …
Fast and light bandwidth testing for internet users
Bandwidth testing measures the access bandwidth of end hosts, which is crucial to
emerging Internet applications for network-aware content delivery. However, today's …
emerging Internet applications for network-aware content delivery. However, today's …
Zwei: A self-play reinforcement learning framework for video transmission services
Video transmission services adopt adaptive algorithms to ensure users' demands. Existing
techniques are often optimized and evaluated by a function that linearly combines several …
techniques are often optimized and evaluated by a function that linearly combines several …
Cost-aware edge resource probing for infrastructure-free edge computing: From optimal stopping to layered learning
To meet the stringent requirement of artificial intelligence applications, such as face
recognition and video streaming analytics, a resource-constrained device can offload its task …
recognition and video streaming analytics, a resource-constrained device can offload its task …
Online available bandwidth estimation using multiclass supervised learning techniques
SK Khangura, S Akın - Computer Communications, 2021 - Elsevier
In order to answer how much bandwidth is available to an application from one end to
another in a network, state-of-the-art estimation techniques, based on active probing, inject …
another in a network, state-of-the-art estimation techniques, based on active probing, inject …
Available bandwidth vs. achievable throughput measurements in 4G mobile networks
Mobile broadband (MBB) networks are being increasingly used worldwide, and they are
planned to steadily evolve to support new services, bigger user base, and booming machine …
planned to steadily evolve to support new services, bigger user base, and booming machine …
Measurement-based online available bandwidth estimation employing reinforcement learning
SK Khangura, S Akın - 2019 31st International Teletraffic …, 2019 - ieeexplore.ieee.org
An accurate and fast estimation of the available bandwidth in a network with varying cross-
traffic is a challenging task. The accepted probing tools, based on the fluid-flow model of a …
traffic is a challenging task. The accepted probing tools, based on the fluid-flow model of a …