Edge cooperation caching method under hierarchical wireless network supporting D2D communication

A collaborative caching, wireless network technology, applied in network planning, wireless communication, network traffic/resource management, etc., can solve problems such as inability to overcome Q-Learning, and achieve the effect of shortening transmission delay and reducing traffic transmission

Inactive Publication Date: 2019-09-27
TIANJIN UNIV
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Problems solved by technology

As one of the representatives of deep reinforcement learning algorithms, DQN is still based on Q-Lear

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  • Edge cooperation caching method under hierarchical wireless network supporting D2D communication
  • Edge cooperation caching method under hierarchical wireless network supporting D2D communication
  • Edge cooperation caching method under hierarchical wireless network supporting D2D communication

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[0042] In order to make the purpose, technical solutions and advantages of the present invention more clearly understood, the present invention will be further described in detail below in conjunction with specific embodiments and with reference to the accompanying drawings.

[0043] like figure 1 shown, figure 1 It is a schematic diagram of the cooperative cache architecture of the user equipment layer, wherein the first layer is the Internet, the second layer is the core of the mobile network operator, the third layer is the base station, and the fourth layer is the terminal equipment. The edge cooperative caching method under the layered wireless network supporting D2D communication provided by the present invention only needs to work between the third layer and the fourth layer, and the cache of the requested content can be completed by the base station, which can save cellular network resources.

[0044] like figure 2 shown, figure 2It is a flowchart of the edge coop...

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Abstract

The invention discloses an edge cooperation caching method under a hierarchical wireless network supporting D2D communication. The method comprises the steps that whether a local cache of a device receiving a content request contains request content or not is checked according to the content request; if yes, the request content is hit; if not, routing selection is performed based on a deep reinforcement learning algorithm to hit the request content; and after the request content is hit, the model of the deep reinforcement learning algorithm is updated. According to the method, a deep reinforcement learning algorithm is applied to collaborative cache configuration of a user equipment layer in a mobile wireless network; the unsupervised learning of the cooperative cache of the user equipment is realized, the hit rate of the maximum cache is taken as an optimization target, and the flow is unloaded to the periphery of the user as much as possible, so that the flow transmission in the cellular network is greatly reduced, and the transmission delay of the user request content is shortened.

Description

technical field [0001] The present invention relates to the field of wireless communication and mobile computing, in particular to an edge cooperative caching method under a layered wireless network supporting D2D communication. Background technique [0002] In recent years, with the rapid increase in the number of smart phones and other smart mobile devices, people's demand for multimedia services is soaring when using mobile networks. The severe traffic pressure urgently requires network operators to find practical and effective solutions. Mobile network operators (MNOs) and network equipment suppliers have also adopted a series of complex technologies applied to the physical layer and the lower half of the data link layer - the media access control layer, to increase the bandwidth of wireless links, such as Large-scale multiple-input multiple-output (MIMO), carrier aggregation, and coordinated multi-point transmission (CoMP), etc., but these have reached their theoretical...

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Application Information

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IPC IPC(8): H04W4/80H04W16/22H04W28/14
CPCH04W4/80H04W16/22H04W28/14
Inventor 王晓飞李文凯王晨阳李丁韩溢文
Owner TIANJIN UNIV
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