Tourist city 5G network networking method based on novel capacity prediction model

A prediction model and capacity technology, applied in the field of 5G network networking in tourist cities, can solve problems such as low utilization of network equipment, and achieve the effect of solving waste of resources, stable data sequence, and strong pertinence

Active Publication Date: 2020-07-28
CHONGQING UNIV OF POSTS & TELECOMM +1
View PDF4 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In order to ensure user experience, operators must deploy equipment according to the peak rate...

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Tourist city 5G network networking method based on novel capacity prediction model
  • Tourist city 5G network networking method based on novel capacity prediction model
  • Tourist city 5G network networking method based on novel capacity prediction model

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0025] The technical solutions in the embodiments of the present invention will be described clearly and in detail below with reference to the drawings in the embodiments of the present invention. The described embodiments are only some of the embodiments of the invention.

[0026] The technical scheme that the present invention solves the problems of the technologies described above is:

[0027] Such as figure 1 Shown: figure 1 Schematic flow diagram for estimating the capacity of the 5G wireless network by implementing SARIMA modeling and predicting planning regional scenic spots and residential area human flow data, such as figure 1 shown, including:

[0028] Step 1. For the collected data, first perform missing value processing. The average value of the data before and after extraction can be used to fill in the missing values, and the outliers are processed to make the data more reasonable. At the same time, the processed data is divided into two parts according to th...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention provides a tourist city 5G network networking method based on a novel capacity prediction model and relates to the field of 5G planning, and mainly introduces a SARIMA model into 5G planning to replace a trend extrapolation method to predict the number of users. As the model has a good prediction effect on a periodic time sequence, seasonal elements can be explicitly simulated in single-variable data, the seasonal characteristics of the data are displayed, and the model is very suitable for the characteristic that the tourist flow of a tourist city obviously changes along with the dim and vigorous season. The characteristic that the SARIMA model can accurately predict the tourist city pedestrian volume is utilized, so that data support is provided for formulation of a 5G networking scheme. When capacity prediction is carried out on the scenic area and the surrounding residential area, the time when the pedestrian flow reaches the peak value is found to be different, so that the scenic area base station and the residential area base station are converged and networked and are uniformly managed by the DU cloud set, the maximum values of the peak values of the scenic area base station and the residential area base station do not need to be added when the capacity peak value of the area is calculated, and network resources are saved to a certain extent.

Description

technical field [0001] The invention belongs to mobile communication technology, and in particular relates to a 5G network networking method for tourist cities based on a novel capacity prediction model. Background technique [0002] The current mobile communication technology has gone through four eras from 1G to 4G, and is striding forward towards the fifth generation mobile communication technology (5G). The 5G network can provide at least ten times the peak rate of 4G, millisecond-level transmission delay and hundreds of billions of connection capabilities, which will open a new era of extensive interconnection of everything and deep human-computer interaction. Grasping new opportunities in the development of 5G mobile communications, accelerating the cultivation of new technologies and industries, and driving digital, networking, and intelligent upgrades in traditional fields have become the key move and strategic choice for expanding new space for economic development ...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): H04W16/18G06Q10/04G06F17/18G06Q50/30G06Q50/14
CPCH04W16/18G06Q10/04G06F17/18G06Q50/30G06Q50/14Y02D30/70
Inventor 文凯陈浩
Owner CHONGQING UNIV OF POSTS & TELECOMM
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap