AI-based congestion control algorithm, device and equipment and medium
A congestion control and algorithm technology, applied in the computer field, can solve problems such as difficulty in ensuring the experience of all users
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Embodiment 1
[0150] Such as image 3 As shown, the present embodiment provides that the present invention provides an AI-based congestion control algorithm, including: network state feature extractor, audio and video state feature extractor, feature processor, reward calculator and AI code rate estimator;
[0151] The network state feature extractor: used to extract characteristic attribute values reflecting the network state;
[0152] Described audio-video state feature extractor: be used for extracting the feature attribute value that embodies audio-video state;
[0153] The feature processor: according to the input feature value, obtain information corresponding to at least one dimension of the feature value through calculation, the information is used to expand the dimension of the feature value, and the information and the input feature value together form a state feature space; For example, when the feature value is the packet loss rate, more dimensional information such as varian...
Embodiment 2
[0189] Such as Figure 4 As shown, the second aspect is provided in the present embodiment, and the present invention provides an AI-based congestion control device, including: a network state feature extractor, an audio and video state feature extractor, a feature processor, a reward calculator, and AI code rate estimator;
[0190] The network state feature extractor: used to extract characteristic attribute values reflecting the network state;
[0191] Described audio-video state feature extractor: be used for extracting the feature attribute value that embodies audio-video state;
[0192] The feature processor: according to the input feature value, obtain information corresponding to at least one dimension of the feature value through calculation, the information is used to expand the dimension of the feature value, and the information and the input feature value together form a state feature space; For example, when the feature value is the packet loss rate, more dimen...
Embodiment 3
[0229] This embodiment provides an electronic device, including a memory, a processor, and a computer program stored in the memory and operable on the processor. When the processor executes the computer program, any implementation manner in Embodiment 1 can be implemented.
[0230] Since the electronic device introduced in this embodiment is the device used to implement the method in Embodiment 1 of this application, based on the method described in Embodiment 1 of this application, those skilled in the art can understand the electronic device of this embodiment. Specific implementation methods and various variations thereof, so how the electronic device implements the method in the embodiment of the present application will not be described in detail here. As long as those skilled in the art implement the equipment adopted by the method in the embodiment of the application, they all belong to the intended protection scope of the application.
[0231] Based on the same inventi...
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