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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Format: | Article |
Language: | zho |
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Beijing Xintong Media Co., Ltd
2023-10-01
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Series: | Dianxin kexue |
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Online Access: | http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2023119/ |
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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. |
format | Article |
id | doaj-art-cafdf046894846ccbd92d6cc7bbf0a5f |
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 |