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A cache optimization method for scn cellular network supporting mec

A cache optimization, cellular network technology, applied in data exchange networks, transmission monitoring, digital transmission systems, etc., can solve problems such as unfavorable network dense deployment implementation, limited backhaul link capacity, etc., to achieve high throughput and fast response time , the effect of improving transmission efficiency

Active Publication Date: 2021-11-26
NANJING UNIV OF POSTS & TELECOMM
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  • Summary
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  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Network densification can effectively solve the problem of video streaming, but due to the limited backhaul link capability, it is not conducive to the deployment and implementation of network densification

Method used

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  • A cache optimization method for scn cellular network supporting mec
  • A cache optimization method for scn cellular network supporting mec
  • A cache optimization method for scn cellular network supporting mec

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Embodiment Construction

[0072] Below in conjunction with specific embodiment, further illustrate the present invention, should be understood that these embodiments are only used to illustrate the present invention and are not intended to limit the scope of the present invention, after having read the present invention, those skilled in the art will understand various equivalent forms of the present invention All modifications fall within the scope defined by the appended claims of the present application.

[0073] A method for caching optimization of an SCN cellular network supporting MEC, the specific steps are as follows:

[0074] (1) Small base station deployment model modeling, a single-layer network model composed of SCNs equipped with MEC servers with a storage capacity of C, by setting the density as λ s and designated as φ s The independent homogeneous Poisson point process is used to model the small cell deployment model, and the upper limit of the backhaul link bandwidth is W 0 , downlink...

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Abstract

The invention relates to a caching optimization method for an SCN cellular network supporting MEC. When a user finds the requested content, it can be cached in the MEC server in the SCN, so that the user can quickly switch between base stations. Accurately obtain the corresponding encoded data, improve the accuracy and efficiency of data transmission, and ensure a faster response time. The present invention uses a genetic algorithm to optimize the value of the throughput expression result obtained through the particle swarm optimization algorithm and the discrete particle swarm optimization algorithm to obtain the optimal solution, and fully considers content diversity, channel selection diversity and mobile diversity. Gain is balanced between the two to achieve maximum throughput.

Description

technical field [0001] The invention relates to a cache optimization method for an SCN cellular network supporting MEC. Background technique [0002] In recent years, with the development of the Internet and the intelligence and popularization of mobile terminal equipment, the demand for video access has shown unprecedented growth, and network densification is an effective way to solve the problem of video streaming. However, due to the limited capacity of the backhaul link, it is not conducive to the deployment and implementation of dense networks. Mobile edge caching is the most economical solution to network densification performance bottlenecks. Some researchers optimize storage allocation through a location-based model, thereby achieving higher cache utilization, throughput, and successful file transfer probability. Some researchers also proposed by studying the internal connection model of the length of time for users and base stations to establish links Caching sche...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04L12/24H04B17/382H04B17/391H04B17/309
CPCH04L41/0823H04L41/145H04B17/309H04B17/382H04B17/391
Inventor 潘沛生何骄鸿
Owner NANJING UNIV OF POSTS & TELECOMM
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