VR content caching method based on mobile edge computing network
An edge computing and content caching technology, applied in the direction of network traffic/resource management, wireless communication, transmission system, etc., can solve problems such as ignoring active storage and computing collaborative computing resource utilization efficiency, and achieve optimal resource allocation strategies and efficient resource utilization. The effect of allocating and solving delay problems
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[0032] The technical solutions in the embodiments of the present invention will be described clearly and in detail below with reference to the drawings in the embodiments of the present invention. The described embodiments are only some of the embodiments of the invention.
[0033] The present invention is based on a system model of a mobile edge computing network, which includes base stations equipped with MEC servers and a large number of user equipments. The present invention mainly uses active caching to solve the problem of additional content acquisition time delay caused by frequent switching between base stations caused by user mobility, so as to improve resource utilization during active caching and QoE of wireless VR users. The DDPG algorithm in deep reinforcement learning is used to learn and predict the content capacity and quality of mobile users stored in the base station. Based on this, a VR content caching method based on mobile edge computing network is design...
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