5G Charging Mechanism Based on Dynamic Step Size

被引：1

作者：

Chen, Na ^{[1
]}

Zhou, Jingyu ^{[2
]}

Guan, Hui ^{[3
]}

Xu, Nan ^{[2
]}

Xue, Sheng ^{[1
]}

Li, Shuting ^{[1
]}

Liu, Zhiqiong ^{[1
]}

机构：

[1] Res Inst China Telecom Co Ltd, Cloud Network Operat Technol Res Inst, Guangzhou 510630, Peoples R China

[2] China Telecom Grp Co Ltd, Cloud & Net Operat Dept, Beijing 100033, Peoples R China

[3] Shenzhen Tianyuan D Informat Technol Co Ltd, Billing Res & Dev Dept, Shenzhen 518057, Peoples R China

来源：

IEEE ACCESS | 2023年 / 11卷

关键词：

5G; charging system; dynamic step; quota; RANDOM FOREST; CLASSIFICATION;

D O I：

10.1109/ACCESS.2023.3243203

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this work, a newly dynamic step size-based 5G charging mechanism was proposed with the introduction of random forest algorithm, user daily traffic forecast model, and RG distribution model for the pressure release on charging system caused by the growing consumption demands based on the behavior feature selection of subscribers. After the verification of the dynamic step size mechanism, optimization analysis was performed from three aspects, including authorization step statistical results, Charging Data Record, and timely reminders by utilizing the real monthly traffic usage data of 13,000 users from China Telecom. Result shows that the amount of charging messages between the network elements and the charging systems decreases by about 35%, and the timeliness rate of reminder service increases by approximately 30%. This research realizes an innovative updating of traditional charging systems to effectively improve the efficiency of the 5G charging system and achieves a reduction in system maintenance and resource occupation. Along with the improvement of service quality and user experience, this work provides an innovation method for operators and different associated businesses to tackle new challenges in 5G.

引用

页码：15069 / 15081

页数：13

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