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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Format: | Article |
Language: | zho |
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Beijing Xintong Media Co., Ltd
2021-11-01
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Series: | Dianxin kexue |
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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 |