Networking method and apparatus of fog wireless access network based on artificial intelligence

A wireless access network and artificial intelligence technology, applied in the field of wireless communication, can solve problems such as high labor costs

Active Publication Date: 2019-04-26
BEIJING UNIV OF POSTS & TELECOMM +1
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] The purpose of the embodiments of the present invention is to provide a fog wireless access network networking method and device based on artificial intelligence t

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  • Networking method and apparatus of fog wireless access network based on artificial intelligence
  • Networking method and apparatus of fog wireless access network based on artificial intelligence
  • Networking method and apparatus of fog wireless access network based on artificial intelligence

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Embodiment Construction

[0064] 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 creative efforts fall within the protection scope of the present invention.

[0065] Aiming at the problems of manual configuration of preset thresholds of various information parameters in the prior art, more and more manual participation in the networking process, and increasing labor costs, the embodiment of the present invention provides a fog wireless access network based on artificial intelligence The networking method and device, through the machine learning algorithm, automatically implements the artificial intelligence-based fog wire...

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Abstract

The invention provides a networking method and apparatus of a fog wireless access network based on artificial intelligence. The method comprises the following steps: a central computing logic module receives reported data, wherein the reported data comprise measurement report data reported by a user terminal in the wireless access network, wireless transmission data reported by a base station andoperation and maintenance data reported by the wireless access network; based on these reported data, the central computing logic module configures a wireless access network working mode matching a user behavior, a service attribute and the wireless access network performance through a machine learning algorithm; and based on the access network working mode, an edge computing logic module judges adeployment method for optimizing current configuration, wireless resources, computing resources and cache resources of an edge communication entity. The proposed networking method is based on the machine learning algorithm, can adapt to various service demands, the wireless access network is flexibly constructed, and different application scenes and performance target demands are met.

Description

technical field [0001] The present invention relates to the technical field of wireless communication, in particular to an artificial intelligence-based fog wireless access network networking method and device. Background technique [0002] Currently, using a fog-radio access network (F-RAN for short) can alleviate the pressure on fronthaul / backhaul links in the wireless access network. For F-RAN, F-RAN may include user terminals and edge communication entities. F-RAN relieves the pressure on fronthaul / backhaul links in the wireless access network and improves network spectrum efficiency and energy efficiency by leveraging the computing and caching capabilities of user terminals and edge communication entities. [0003] For the above-mentioned fog wireless access network networking method, the main implementation steps are as follows: [0004] First, through the user terminal in the F-RAN, various information parameters are compared with the preset thresholds of the corres...

Claims

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Application Information

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IPC IPC(8): H04W24/02H04W24/10G06N20/00
CPCH04W24/02H04W24/10H04W88/18H04L41/16H04L41/0816H04L41/5009H04L41/0886G06N3/08G06N20/00H04L41/40G06N7/01H04L41/0836H04W40/24
Inventor 彭木根项弘禹闫实
Owner BEIJING UNIV OF POSTS & TELECOMM
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