Multi-level caching method and system for vr video based on reinforcement learning in c-ran architecture
A technology of reinforcement learning and video, applied in the field of computer networks, can solve the problems of disastrous VR video viewing experience and strong dizziness, achieve comfortable viewing experience, reduce repeated data transmission, and reduce delay
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[0042] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.
[0043] C-RAN is a new type of radio access network architecture, such as figure 1shown. The overall goal of C-RAN is to solve the various challenges (energy consumption, construction and operation and maintenance costs, spectrum resources, etc.) brought to operators by the rapid development of mobile Internet, and pursue sustainable business and profit growth in the future. In the C-RAN architecture, it is assumed that the VR video source server has all the c...
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