Network automation enhances 5G network consistency through several key functions. It improves reliability by using self-healing networks that minimize outages and ensure consistent service delivery[1][5]. Automation allows for the dynamic management and optimization of network slices in real time, which is essential for tailoring virtual networks to specific needs, such as low-latency slices for autonomous vehicles[1]. With AI and machine learning (ML), network automation can troubleshoot issues, leading to rapid resolution and minimal service disruption, ensuring a high-quality user experience and consistent service quality that aligns with the standards expected of 5G networks[2].
Network Management Systems (NMS) play a pivotal role in addressing 5G challenges through dynamic slice management, real-time analytics, and configuration tools[3]. Automation solutions enhance service agility, accelerate deployment, and confirm optimal resource utilization through network orchestration, AI-driven analytics, and zero-touch provisioning[3]. Advanced NMS also incorporates dynamic network slicing capabilities, which allows operators to create and manage virtual slices of the network, each customized to meet specific performance requirements, and maintains optimal resource allocation for diverse services[3]. Predictive maintenance leveraging real-time analytics helps predict potential network issues before they occur, reducing downtime and enhancing overall network reliability[3].
AI algorithms within NMS enable self-optimization of 5G networks by automatically adjusting power, frequency, and antenna tilt parameters to maximize network performance and improve user experience[3]. Automation streamlines repetitive tasks, reduces manual intervention, and accelerates time-to-market for new services and features, leading to greater operational efficiency, lower operating costs, and improved resource utilization[5][6]. It also enables operators to adapt quickly to changing network demands, scale resources dynamically, and support diverse use cases and services, which is essential for meeting the evolving requirements of 5G applications and users[5]. Additionally, network automation improves network reliability, resilience, and uptime by automating fault detection, troubleshooting, and remediation[5].
Citations:
[1] https://resolve.io/blog/5g-and-network-automation
[2] https://www.b-yond.com/post/how-ai-and-ml-automation-is-redefining-the-quality-of-5g-network-services
[3] https://infraon.io/blog/a-comprehensive-guide-on-5g-network-automation/
[4] https://www.telecomgurukul.com/post/exploring-the-role-of-network-automation-in-4g-and-5g-protocol-testing-updated-in-2024
[5] https://www.telecomgurukul.com/post/oran-and-network-automation-streamlining-operations-for-5g-efficiency-in-2024-3
[6] https://www.zenarmor.com/docs/network-basics/what-is-network-automation
[7] https://mischadohler.com/ai-driven-network-automation-5g-ai/
[8] https://theses.hal.science/tel-03539545v2/document
[9] https://www.innovile.com/resources/insights/mastering-5g-service-assurance-embracing-mobile-network-automation-and-son-solutions/