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Wireless intelligent propagation method based on Cost231-Hata model

A model, intelligent technology, applied in wireless communication, electrical components, network planning, etc., to reduce the cost of network construction

Pending Publication Date: 2020-07-10
CHANGSHA AERONAUTICAL VACATIONAL AND TECHNICAL COLLEGE
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This method of collecting and analyzing data from a single site and finally combining it into a new working mode will face huge challenges. It not only requires a rigorous deep learning framework to improve performance, but also requires stable network technology as a support. Therefore, in 5G Establishing an efficient, centralized, and accurate data platform on the basis of operations is the subject of future research

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  • Wireless intelligent propagation method based on Cost231-Hata model
  • Wireless intelligent propagation method based on Cost231-Hata model
  • Wireless intelligent propagation method based on Cost231-Hata model

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Embodiment Construction

[0054] The embodiments of the present invention will be described in detail below with reference to the accompanying drawings, but the present invention can be implemented in various ways defined and covered by the claims.

[0055] A kind of wireless intelligent dissemination method based on Cost231-Hata model provided by the present invention comprises the following steps:

[0056] Step 1. Feature design: first quantitatively analyze the data or parameters of the Cost231-Hata model, B. Select the main features that affect the target model a, C. Combine the Cost 231-Hata model and its related data to establish a neural network model The feature a1 based on the Cost231-Hata model for predicting RSRP;

[0057] Preferably, the feature a1 is a parameter involved in the Cost231-Hata model;

[0058] Preferably, the definition formula of the feature a1 is:

[0059] PL=46.3+33.9log 10 f-13.82 log 10 h b -α+(44.9-6.55log 10 h b ) log 10 d+c m (1)

[0060] Among them: the rel...

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Abstract

The invention provides a wireless intelligent propagation method based on a Cost231-Hata model. The model is based on application of a 5G network and assistance of wireless LET network data, and provides a wireless propagation model which is established in different environments and under the influence of various external factors and is high in stability. According to the model, engineering parameters, map parameters and self-searched features in LET data are analyzed; the average signal received power (RSRP) of the model is predicted; detailed division of loss of a transmission path is considered; a more comprehensive transmission path loss is adopted and is composed of a free space loss Ls and a diffraction and scattering loss Lms of a roof to a street, a back propagation neural networkis constructed to predict RSRP at different geographic positions, and the coverage intensity of wireless signals in a new environment can be accurately predicted through the model, so that the networkconstruction cost is reduced, and meanwhile the network construction efficiency is improved.

Description

technical field [0001] The invention relates to a wireless intelligent propagation method based on the Cost231-Hata model, which is convenient for using the model to accurately predict the coverage strength of wireless signals in a new environment. Background technique [0002] Nowadays, artificial intelligence has been pushed into a strong position, and both industry insiders and other companies are chasing it crazily. At the same time, the topic of 5G is no longer a theory that exists on paper, but a silent one. Voice appears in the field of artificial intelligence, and has achieved outstanding progress, and its applications around the world are constantly expanding. [0003] In the field of 5G applications, the three major communication operators are competing to deploy 5G networks. In this application, the most critical aspect is the rational selection of base station sites within the coverage area. Secondly, the deployment of base stations to meet the needs of users co...

Claims

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Application Information

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IPC IPC(8): H04W16/22
CPCH04W16/22
Inventor 彭小平凌双明
Owner CHANGSHA AERONAUTICAL VACATIONAL AND TECHNICAL COLLEGE
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