Research on theoretical ultimate value of 5G flow residence ratio based on big data

The 5G flow residence ratio is an important indicator used by communication operators to evaluate the coverage capacity of 5G networks, and it is also an important starting point for the networks’ planning, optimization, maintenance and operation.To ensure user perception, the actual wireless transm...

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Main Authors: Hongjia LIU, Bei LI, Wei ZHAO, Guoping XU, Xinyan WANG
Format: Article
Language:zho
Published: Beijing Xintong Media Co., Ltd 2023-10-01
Series:Dianxin kexue
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Online Access:http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2023119/
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author Hongjia LIU
Bei LI
Wei ZHAO
Guoping XU
Xinyan WANG
author_facet Hongjia LIU
Bei LI
Wei ZHAO
Guoping XU
Xinyan WANG
author_sort Hongjia LIU
collection DOAJ
description The 5G flow residence ratio is an important indicator used by communication operators to evaluate the coverage capacity of 5G networks, and it is also an important starting point for the networks’ planning, optimization, maintenance and operation.To ensure user perception, the actual wireless transmission influencing factors, existing network structure and network coordination strategy, etc., need to be considered.The resident capacity of a 5G network in the 3.5 GHz frequency band was evaluated, analyzed and calculated, and the theoretical ultimate value of the 5G traffic resident ratio based on the analysis of network and users’ big data was put forward, which explained the positive relationship between user perception and residence ratio, and provided a reference for the reasonable theoretical ultimate value of 5G traffic resident ratio.
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institution Kabale University
issn 1000-0801
language zho
publishDate 2023-10-01
publisher Beijing Xintong Media Co., Ltd
record_format Article
series Dianxin kexue
spelling doaj-art-cafdf046894846ccbd92d6cc7bbf0a5f2025-01-15T02:58:04ZzhoBeijing Xintong Media Co., LtdDianxin kexue1000-08012023-10-013911211959560188Research on theoretical ultimate value of 5G flow residence ratio based on big dataHongjia LIUBei LIWei ZHAOGuoping XUXinyan WANGThe 5G flow residence ratio is an important indicator used by communication operators to evaluate the coverage capacity of 5G networks, and it is also an important starting point for the networks’ planning, optimization, maintenance and operation.To ensure user perception, the actual wireless transmission influencing factors, existing network structure and network coordination strategy, etc., need to be considered.The resident capacity of a 5G network in the 3.5 GHz frequency band was evaluated, analyzed and calculated, and the theoretical ultimate value of the 5G traffic resident ratio based on the analysis of network and users’ big data was put forward, which explained the positive relationship between user perception and residence ratio, and provided a reference for the reasonable theoretical ultimate value of 5G traffic resident ratio.http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2023119/big data5Gresident ratiouser perceptiontheoretical ultimate value
spellingShingle Hongjia LIU
Bei LI
Wei ZHAO
Guoping XU
Xinyan WANG
Research on theoretical ultimate value of 5G flow residence ratio based on big data
Dianxin kexue
big data
5G
resident ratio
user perception
theoretical ultimate value
title Research on theoretical ultimate value of 5G flow residence ratio based on big data
title_full Research on theoretical ultimate value of 5G flow residence ratio based on big data
title_fullStr Research on theoretical ultimate value of 5G flow residence ratio based on big data
title_full_unstemmed Research on theoretical ultimate value of 5G flow residence ratio based on big data
title_short Research on theoretical ultimate value of 5G flow residence ratio based on big data
title_sort research on theoretical ultimate value of 5g flow residence ratio based on big data
topic big data
5G
resident ratio
user perception
theoretical ultimate value
url http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2023119/
work_keys_str_mv AT hongjialiu researchontheoreticalultimatevalueof5gflowresidenceratiobasedonbigdata
AT beili researchontheoreticalultimatevalueof5gflowresidenceratiobasedonbigdata
AT weizhao researchontheoreticalultimatevalueof5gflowresidenceratiobasedonbigdata
AT guopingxu researchontheoreticalultimatevalueof5gflowresidenceratiobasedonbigdata
AT xinyanwang researchontheoreticalultimatevalueof5gflowresidenceratiobasedonbigdata