Big data mining-based wireless channel modeling method

A wireless channel and big data technology, applied in wireless communication, electrical digital data processing, special data processing applications, etc. The effect of reducing complexity and reducing the amount of calculation

Active Publication Date: 2016-11-16
BEIJING UNIV OF POSTS & TELECOMM
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Problems solved by technology

[0004] The present invention provides a wireless channel modeling method based on big data mining, which is used to solve the problems of high complexity, large amount of calculation and low accuracy of existing modeling methods

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  • Big data mining-based wireless channel modeling method

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Embodiment Construction

[0031] In order to make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be described clearly and completely in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments It is a part of the embodiments of the present invention, not all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative work shall fall within the protection scope of the present invention.

[0032] Aiming at the characteristic of increasing data volume in wireless channel modeling, the present invention combines wireless channel modeling and data mining, and provides a wireless channel modeling method based on big data mining to solve the existing modeling method Problems with high complexity, large amount of calculation,...

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Abstract

The invention provides a big data mining-based wireless channel modeling method. The method comprises the steps of obtaining picture information of a measurement environment and a channel pulse response data sample under a preset condition; obtaining at least one multipath wave and channel parameters of each multipath wave by adopting a channel parameter estimation algorithm, and obtaining at least one cluster according to the channel parameters of each multipath wave; obtaining at least one scattering body in the measurement environment according to the picture information of the measurement environment; performing matching on each cluster and each scattering body to obtain a cluster core, wherein the cluster core is the cluster matched with the scattering body; and building a basic wireless channel model under the preset condition according to all cluster cores. According to the method, the calculation amount is reduced and the accuracy of wireless channel modeling is improved.

Description

Technical field [0001] The invention relates to the field of wireless channel modeling, in particular to a wireless channel modeling method based on big data mining. Background technique [0002] With the development of mobile communication technology, various indicators of the propagation path of radio waves (ie, wireless channels), such as bandwidth, frequency band, antenna size, etc., have increased exponentially, resulting in a sharp increase in data in the wireless channel. The wireless channel model is no longer applicable to wireless channels with increased data, and cannot be used to simulate, test, and evaluate wireless channels, and thus cannot help technicians analyze and improve the communication performance of wireless channels. [0003] When modeling wireless channels in the prior art, deterministic modeling methods are usually used to establish a space model, set the emission source, receiving point, and material parameters to obtain the propagation characteristics o...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/50
CPCG06F30/367H04L41/142H04L41/16H04W16/22H04W24/08
Inventor 张建华张平田磊杨育捷
Owner BEIJING UNIV OF POSTS & TELECOMM
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