T/MSITISA 02-034-2024 Active Group standards

\nT/MSITISA 02-034-2024 Service Performance Measurement Methods 5G Autonomous Networks

T/MSITISA 02-034-2024

Publish Date: 2024-11-20 Implement Date: 2024-11-21 For services related to genuine standard inquiry, procurement, translation, and other related services in China, please Contact Us
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Basic Information

Standard Code: T/MSITISA 02-034-2024
Standard Type: Group standards
Standard Status: Active
is_force_gb: no
CCS Name: Various communication business services
ICS Name: Integrated services
Publish Date: 2024-11-20
Implement Date: 2024-11-21

Scope

Main technical content: The 5G autonomous network is a highly automated and intelligent network system based on 5G communication technology, which emphasizes building a network environment that can operate, optimize, and repair itself without human intervention, thereby providing strong technical support for various industries. The 5G autonomous network is mainly composed of intelligent base stations and various terminal devices. Among them, the base stations are responsible for providing efficient and intelligent network services to terminal devices, ensuring that each terminal device can enjoy high-quality network experience in any scenario. Unlike traditional networks, the base stations in the 5G autonomous network have highly intelligent characteristics, which enable them to autonomously optimize and adjust the allocation of network resources to meet the service needs of different terminal devices. In this system, each base station is an intelligent node with autonomous learning and decision-making capabilities, which can autonomously complete network optimization and service improvement based on the specific needs of terminal devices, such as bandwidth, latency, and connection stability, and adjust resource allocation in real time to ensure the quality of service for terminal devices. Currently, in the 5G autonomous network, there is a lack of a unified comprehensive measurement method for service efficiency, which makes it difficult to compare measurement results among different manufacturers and systems. Moreover, traditional measurement methods are difficult to comprehensively reflect the complex service efficiency requirements of the 5G autonomous network, restricting the high-quality development of China's 5G autonomous network. In addition, existing abnormal identification methods are mostly based on a single indicator or simple rules, making it difficult to deal with the complex and changeable application scenarios in the 5G autonomous network. This docu

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