Identification technology for city freeway users based on XDR big data analysis

In the scene of city freeway, the driving speed is relatively faster, the flow of people is denser, and the customers have higher requirements for communication experience.Firstly, the architecture of big data platform for mobile network quality control was introduced.Then, the identification algori...

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Main Authors: Baoyou WANG, Saibin YAO, Jiucheng HUANG, Hui PAN
Format: Article
Language:zho
Published: Beijing Xintong Media Co., Ltd 2021-11-01
Series:Dianxin kexue
Subjects:
Online Access:http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2021214/
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author Baoyou WANG
Saibin YAO
Jiucheng HUANG
Hui PAN
author_facet Baoyou WANG
Saibin YAO
Jiucheng HUANG
Hui PAN
author_sort Baoyou WANG
collection DOAJ
description In the scene of city freeway, the driving speed is relatively faster, the flow of people is denser, and the customers have higher requirements for communication experience.Firstly, the architecture of big data platform for mobile network quality control was introduced.Then, the identification algorithm for city freeway users based on XDR big data analysis was proposed.Finally, through XDR big data analyzing and processing, the user track on freeway was output, which followed by matching with the fingerprints database of freeways.The identification accuracy for city freeway users was improved, and wireless network quality monitoring of city freeways was supported.
format Article
id doaj-art-76297d754025487489acca7162d9f8ed
institution Kabale University
issn 1000-0801
language zho
publishDate 2021-11-01
publisher Beijing Xintong Media Co., Ltd
record_format Article
series Dianxin kexue
spelling doaj-art-76297d754025487489acca7162d9f8ed2025-01-15T03:33:04ZzhoBeijing Xintong Media Co., LtdDianxin kexue1000-08012021-11-013713514259816059Identification technology for city freeway users based on XDR big data analysisBaoyou WANGSaibin YAOJiucheng HUANGHui PANIn the scene of city freeway, the driving speed is relatively faster, the flow of people is denser, and the customers have higher requirements for communication experience.Firstly, the architecture of big data platform for mobile network quality control was introduced.Then, the identification algorithm for city freeway users based on XDR big data analysis was proposed.Finally, through XDR big data analyzing and processing, the user track on freeway was output, which followed by matching with the fingerprints database of freeways.The identification accuracy for city freeway users was improved, and wireless network quality monitoring of city freeways was supported.http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2021214/network optimizationXDRidentification of city freeway
spellingShingle Baoyou WANG
Saibin YAO
Jiucheng HUANG
Hui PAN
Identification technology for city freeway users based on XDR big data analysis
Dianxin kexue
network optimization
XDR
identification of city freeway
title Identification technology for city freeway users based on XDR big data analysis
title_full Identification technology for city freeway users based on XDR big data analysis
title_fullStr Identification technology for city freeway users based on XDR big data analysis
title_full_unstemmed Identification technology for city freeway users based on XDR big data analysis
title_short Identification technology for city freeway users based on XDR big data analysis
title_sort identification technology for city freeway users based on xdr big data analysis
topic network optimization
XDR
identification of city freeway
url http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2021214/
work_keys_str_mv AT baoyouwang identificationtechnologyforcityfreewayusersbasedonxdrbigdataanalysis
AT saibinyao identificationtechnologyforcityfreewayusersbasedonxdrbigdataanalysis
AT jiuchenghuang identificationtechnologyforcityfreewayusersbasedonxdrbigdataanalysis
AT huipan identificationtechnologyforcityfreewayusersbasedonxdrbigdataanalysis