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Research on Cloud-Native Monitoring System Based on Prometheus 4

Research on Cloud-Native Monitoring System Based on Promethe...

引用

4th International Conference on Sensors and Information Technology, ICSI 2024

作者： Liu, Yajun Yu, Zhitao Wang, Qian Mei, Hong Song, Guolin Li, Haiou Network Planning and Design Optimization Research and Development Center China Mobile Group Design Institute Company Limited Beijing China Wuhan Branch Network Planning and Design Optimization Research and Development Center China Mobile Group Design Institute Company Limited Wuhan China Hubei Branch China Mobile Group Design Institute Company Limited Wuhan China

ISBN: (数字)9781510678699

ISBN: (纸本)9781510678682

With the continuous evolution of enterprise cloudification and digitalization, cloud-native technologies such as microservices and containerization have gradually become industry standards. However, the rapid iteration of microservices applications presents new challenges to system stability, putting pressure on maintenance personnel. This paper focuses on the open-source Prometheus monitoring ecosystem and designs a monitoring and alerting system that adapts to distributed large-scale cluster monitoring and multi-tenant management, providing an integrated monitoring solution for IT infrastructure, microservices, and containers. The system has been successfully deployed in real production environments by China Mobile Group. Through this system, maintenance personnel can quickly identify issues in business systems and provide high availability services. © 2024 SPIE.

关键词： System stability

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Application of Federated Learning in mobile communication Anti-telecom fraud

Application of Federated Learning in mobile communication An...

引用

2023 International Conference on Communication network and Machine Learning, CNML 2023

作者： Li, Haiou Kang, Zhiwen Song, Guolin Liu, Yajun Mei, Hong Chen, Xin Gu, Ming Wang, Jieli Chen, Geng Network Planning and Design Optimization Research and Development Center China Mobile Group Design Institute Company Limited Beijing China China Mobile Group Design Institute Co. Ltd. Shandong Branch Jinan China Wuhan Branch Network Planning and Design Optimization Research and Development Center China Mobile Group Design Institute Company Limited Wuhan China

ISBN: (纸本)9798400716683

In order to solve the problem that telecom fraud data cannot be centralized for training due to privacy security and data island in the training of telecom fraud model in mobile communication, federated learning can be integrated into the network information interaction to construct an efficient and high-security data model training architecture. The distributed deep learning model training architecture based on federated learning is introduced, and the research status and standard application methods of federated learning are summarized. Based on the model training architecture, an application case test is carried out, and the traditional model training methods are compared. Finally, it is proved that this method is superior to the existing centralized model training method in terms of security and training efficiency under the condition of ensuring network patency. © 2023 ACM.

关键词： Deep learning

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The optimization of Integer Data Formatted Output Based on A High-Performance Parsing Software 3

The Optimization of Integer Data Formatted Output Based on A...

引用

3rd International Conference on Green Communication, network, and Internet of Things, CNIoT 2023

作者： Chen, Xin Kong, Xiangqi Chao, Yuling Guo, Mingjing Wang, Kai Gao, Yaofei Hu, Yaxi Zhao, Shuo Wei, Tingting Liu, Jieqiong Lv, Qing Ding, Haolun R&D Center for Network Planning and Optimization China Mobile Communication Group Design Institute Co. LTD Beijing China

ISBN: (纸本)9781510668867

This paper focuses on optimizing integer data formatted output based on high-performance parsing software. We provide three methods for formatting integer fields and compare them with standard library functions sprintf in performance. These methods are experimentally proven to have reasonable practicality and usability. © 2023 SPIE.

关键词： Integer programming

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Voice Quality Analysis Method in NR Cellular network

Voice Quality Analysis Method in NR Cellular Network

引用

2024 IEEE International Symposium on Electromagnetic Compatibility, Signal and Power Integrity, EMC+SIPI 2024

作者： Liang, Tong Wu, Weijia Liu, Yu Wang, Xu Liu, Zhiyong China Mobile Group Design Institute Co. Ltd R&d Center for Network Planning and Optimization Beijing China China Mobile Communications Group Co. Ltd Network Division Beijing China

ISBN: (纸本)9798350360394

With the progressing and developing of 5G voice services, to provide users with better voice calling services in complex electromagnetic environments, an effective method to evaluate the Voice over New Radio (VoNR) service quality is necessary. In this paper, a method to evaluate the voice service quality based on an AI algorithm is proposed, in which the mean opinion score (MOS) of VONR calls can be calculated with the network-side indicators as input based on a model trained with the drive test score, which is verified in the session-level voice quality scoring and can be used in cell-level voice quality scoring. This method is helpful to discover cells with poor voice service quality and verify the network optimization effects so as to increase the network quality. © 2024 IEEE.

关键词： 5G mobile communication systems

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Research and Application of Automated Intelligent planning Technology for Engineering Parameters of Communication Base Stations 7

Research and Application of Automated Intelligent Planning T...

引用

7th International Conference on Communication and Information Systems, ICCIS 2023

作者： Xiang, Zhongqiu Li, Binjie Huang, Xuemin Wang, Wei Chen, Fan Liu, Xuecheng Wang, Yunjing Hou, Shengli China Mobile Group Design Institute Co. Ltd. Network Optimization Products Department Beijing China China Mobile Communications Group Co. Ltd. Network Business Department Beijing China Wireless Network Optimization Center China Mobile Group Guangdong Co. Ltd. Guangzhou China Wuhan Branch China Mobile Group Design Institute Co. Ltd. Business and It Development Department Wuhan China China Mobile Group Design Institute Co. Ltd. Business and It Development Department Beijing China Digital Intelligence Planning and Design Center China Mobile Group Design Institute Co. Ltd. Beijing China

ISBN: (纸本)9798350330540

The engineering parameters of communication base stations are the core assets of telecommunication operators. It directly determines the quality of the network and the perception of users. The current communication network has accumulated a large amount of wireless network big data, and adjusting base station engineering parameters based on user business data is an important scientific issue. This article proposes a technical solution for engineering parameter planning based on simulation iteration and artificial intelligence algorithms. This scheme is based on high-precision simulation, so it can predict the optimization effect in advance. This scheme adopts particle swarm optimization algorithm for intelligent optimization, achieving the goal of effectively improving the optimization effect. At the same time, we combine existing wireless big data to achieve precise engineering parameter planning based on the distribution of user business volume. Therefore, it can achieve the effect of stimulating traffic and maximizing investment return ratio. Furthermore, it is possible to achieve self intelligent network operation and maintenance. Application practice has shown that adopting this technical solution can reduce base station resource investment by 10% and improve network quality by 19.9%, which is of great significance for actual network operation and maintenance. © 2023 IEEE.

关键词： Automated Intelligent network Engineering parameter planning High precision simulation Particle Swarm optimization Stimulate traffic

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A Fast Classification of Virtual 5G Core network Elements 3

A Fast Classification of Virtual 5G Core Network Elements

引用

3rd International Conference on Digital Society and Intelligent Systems, DSInS 2023

作者： Chen, Xin Song, Guolin Li, Haiou Liu, Yajun Mei, Hong Liu, Wenbo Kang, Zhiwen Wen, Ge Liu, Xiaoli Wu, Lei Zheng, Min Li, Xinyu R&D Center for Network Planning and Optimization China Mobile Communication Group Design Institute Co.LTD Beijing100080 China Wuhan R&D Center China Mobile Communication Group Design Institute Co.LTD Wuhan100080 China Network business department China Mobile Communications Group Co.LTD Beijing100080 China Shandong Branch China Mobile Communication Group Design Institute Co.LTD Jinan100080 China

ISBN: (纸本)9798350331387

para>To adapt to the smooth evolution from 5G to 6G and realize the accurate management of 5G core network elements, this paper proposes a resource management system integrating collection, maintenance, and management. Based on 5GC network elements information, several feasible neural network models are constructed to realize real-time classification of 5G virtual elements in the live network. Through our experiments, the paper proves the selected algorithm to be reasonable, convenient and efficient. © 2023 IEEE.

关键词： Classification (of information)

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Voice Quality Analysis Method in NR Cellular network

Voice Quality Analysis Method in NR Cellular Network

引用

IEEE International Symposium on Electromagnetic Compatibility (EMC)

作者： Tong Liang Weijia Wu Yu Liu Xu Wang Zhiyong Liu R&D Center for Network Planning and Optimization China Mobile Group Design Institute Co. Ltd Beijing China Network Division China Mobile Communications Group Co. Ltd Beijing China

ISBN: (数字)9798350360394

ISBN: (纸本)9798350360400

关键词： Cellular networks New Radio Electromagnetics Artificial intelligence optimization

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Cellular Traffic Prediction Based on CVAE and Transformer 20

Cellular Traffic Prediction Based on CVAE and Transformer

引用

20th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery, ICNC-FSKD 2024

作者： Li, Jianwu Liu, Yiguang Liu, Qingyao Ni, Zhixiao Liu, Bin Qi, Mingyue School of Computer Science and Technology Beijing Institute of Technology Beijing100081 China China Mobile Network Planning and Design Optimization R&d Center China Mobile Group Design Institute CO. LTD. Beijing100081 China School of Economics and Management Hebei University of Science and Technology Hebei Shijiazhuang050018 China Hebei Yuesi Information Technology CO. LTD. Hebei Shijiazhuang050000 China

ISBN: (纸本)9798350356328

Cellular traffic prediction is an important problem in the field of communication management. In this paper, a cellular traffic prediction method CTSTN based on spatio-temporal learning is designed combining Transformer and Conditional Variational Auto-Encoder (CVAE). This paper explores the application of CVAE in the spatial states modeling and generating of cellular traffic data, constructs a spatial states dataset from the raw dataset, and designs an S-CVAE module to learn spatial characteristics of traffic data. Meanwhile, the Transformer is used to model temporal features of cellular traffic data. We conduct experiments and analyses on CTSTN and its sub-modules on real datasets. The results show the effectiveness of applying CVAE to spatial status prediction and validate the accuracy of CTSTN predictions. © 2024 IEEE.

关键词： Prediction models

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Evaluation of the power-saving effect of 5G base station based on AI 24

Evaluation of the power-saving effect of 5G base station bas...

引用

Proceedings of the 2024 10th International Conference on Communication and Information Processing

作者： Yuan Fang Sheng Zhang Feng Gao Yao Cen Xinte Qi Ao Shen Yunlong Liu Jifeng Lv China Mobile R&D Center for Network Planning and Optimization China Mobile Group Design Institute Co. Ltd. Beijing Beijing China Department of Planning and Construction China Mobile Communications Corporation Beijing Beijing China

ISBN: (纸本)9798400717444

The research and application of energy-saving technology for 5G wireless networks are significant for the emission-reduction work of Communication Operators. The traditional power-saving effect evaluation scheme of Active Antenna Unit (AAU) is complicated, leading to errors in the final evaluation results possibly. This paper proposes a LightGBM-based power-saving effect evaluation method of AAU, improving the efficiency and quality of AAU.

关键词： 5G

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VoNR technology research and evolution prospects 23

VoNR technology research and evolution prospects

引用

Proceedings of the 2023 9th International Conference on Communication and Information Processing

作者： Yuan Fang Sheng Zhang Rui Wang MingJie Yang Ao Shen JianDi Luo TingTing Wang Network Planning and Design Optimization R&D Center China Mobile Group Design Institute Co. Ltd. China China Mobile Communications Corporation China China Mobile Group Hebei Co. Ltd. China China Mobile Group Design Institute Co. Ltd. China

ISBN: (纸本)9798400708909

Voice is the key technology of operators and the main means of daily communication. However, the current voice business is still relatively monotonous, unable to meet the growing needs of users. In the era of 5G-Advanced, VoNR+ is providing users with a new real-time communication service that integrates high-definition audio and video calls with data applications. It will help operators redefine the dial entry, from voice to video and content operations, from consumer communication to industry enabling, to continuously expand industry boundaries and continue business innovation. This paper focuses on the evolution trend of voice, the main features, solutions and prospects of VoNR+, which provides support for the healthy development of the industry. At the same time, the existing VoNR+ application cases in the current network are introduced, hoping to build a new VoNR+ ecosystem.

关键词： VoNR+ application evolution optimization

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