The role of cloud NWDAF in optimizing 5G network management and performance

 

January 31, 2023

Introduction

As 5G networks continue to roll out across the globe, network operators seek ways to manage and optimize these complex, high-capacity networks efficiently. One solution gaining traction is using the cloud Network Data Analytics Function (NWDAF). The cloud NWDAF plays a key role in realizing the automation and monetization of 5G networks.

What is cloud NWDAF, and how does it work?

NWDAF is introduced by 3GPP to handle network analytics and provides real-time analysis and insights into network performance and behavior. It continuously monitors network data, identifying trends, patterns, and anomalies that may indicate issues or potential improvements. NWDAF can help network operators proactively troubleshoot problems and optimize network performance, improving reliability and quality of service for end users. In addition to providing real-time analytics, NWDAF can also provide data-driven recommendations for network configuration and optimization. By analyzing large amounts of network data, NWDAF can identify the most effective settings and configurations for different network scenarios and automatically apply them, reducing the need for manual intervention and speeding up the process of deploying and managing 5G networks. Cloud NWDAF can analyze data from various sources, including network performance metrics, subscriber data, and service usage patterns. It can also integrate with other network management tools and systems, such as network element controllers and orchestration platforms, to provide a comprehensive view of network performance.
NWDAF integrates will all 5G core network functions

NWDAF integrates will all 5G core network functions

 

How can operators use cloud NWDAF in 5G networks?

There are several ways that network operators can use the cloud NWDAF to improve 5G network performance and management:

  • Proactive troubleshooting: By continuously monitoring network data, NWDAF can help operators identify potential issues before they become major problems. This can enable operators to take proactive measures to prevent outages and other service disruptions, leading to improved reliability and quality of service.
  • Optimization of network performance: NWDAF can provide data-driven recommendations for optimizing network performance. For example, it can identify the most effective configurations for different network scenarios, such as high-traffic areas or special events, and automatically apply them to improve network efficiency and capacity.
  • Streamlined deployment and management: By automating network configuration and optimization tasks, NWDAF can help reduce the time and effort required to deploy and manage 5G networks. This can help operators to bring new services to market faster and more efficiently.
  • Enhanced user experience: By improving network reliability and performance, NWDAF can help to enhance the user experience on 5G networks, leading to increased customer satisfaction and loyalty.

Conclusion

NWDAF is a powerful tool that can help network operators efficiently manage and optimize 5G networks. By continuously analyzing and optimizing network performance, NWDAF can help to ensure that 5G networks are reliable, efficient, and provide an enhanced user experience.

Alepo’s 5G Core network solution, including SDM (AUSF, UDM, UDR) and PCF, interface with NWDAF, helping our 5G operator customers with advanced network analytics, real-time monitoring, quick troubleshooting and service restoration, and many more effective network management and optimization functions.

Rajesh Mhapankar

Rajesh Mhapankar

Vice President, Product Management

A seasoned professional, technologist, innovator, and telecom expert. With over 20 years of experience in the software industry, Rajesh brings a strong track record of accelerating product innovations and development at Alepo. He supports the company’s mission-critical BSS/OSS projects in LTE, WiFi and broadband networks, including core policy, charging, and control elements.

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