Cognitive RAN Automation
Leverage cognitive intelligence to drive automation across your network, leading to improved customer experience and optimized operations.
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Amdocs RAN digital twin
What is a cognitive RAN automation?
Unlike the current RAN automation, cognitive RAN automation uses data analytics & AI to understand the full picture, and then drives automated operations based on desired outcomes.
It looks not only at actual network data, but predicts future network trends, analyzes the surrounding environment, and understands the business impacts as well. Based on all the information, the system can simulate the recommended changes, ensuring that it achieves the desired outcomes.
Learn more about Cognitive RAN Automation features and benefits
Cognitive RAN Automation Use Cases
Amdocs Cognitive RAN Automation is a robust tool, supporting a variety of use cases in your network operations, providing a consistent approach from design to ongoing maintenance & optimization.
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Network Planning
Design new networks, whether greenfield or network densification, based on predictive analytics, optimized for capex investment and business objective.
New Service Deployment
Getting ready to deploy a new network service? network densification, Simulate new network traffic scenarios and ensure optimized network experience for customers
Network Operations
Don't wait for trouble to hit – predict where issues may occur, simulate changes seamless customer operations, and thenimplement to ensure whether by increasing coverage for expected spike in traffic or compensating for potential cell outage.
Network Optimization
Reduce network operating costs through continued focus on optimized operations, including energy consumption, without impacting network performance.
Cognitive RAN Automation Design
Amdocs Cognitive RAN Automation, is a modular solution, designed to enable the greatest flexibility in RAN automation across any RAN ecosystem.
It is composed of four key components:
Automation Management
Amdocs Cognitive RAN Automation delivers automation that works across vendors & technologies through an industrialized O-RAN Software Community (OSC) Non-RT RIC.
The automation supports both traditional, virtualized and cloud-based RAN environments, delivering you a unified automation your entire network.
rApp ecosystem
We provide an extensive ecosystem of rApps to automate every aspect of your network supported by a broad partner ecosystem including AirHop, Zinkworks and Rimedo Labs.
Open APIs support the development of custom built rApps to meet any of your needs, as well as migration from script-based automation.
AI/ML Framework
Amdocs provides high level AI/ML building blocks to app developers.
Amdocs supplies foundational models out of the box to support forecasting, anomaly detection and KPI correlation allowing app developers the ability to use the models to deliver incremental value to their automations.
Digital Twin
Our federated digital twin let you model and predict future network states, capture recommendations and trigger autonomous action.
The federation of digital twins gives you the right network abstraction for the task in-hand, including network simulation, tower inventory, vendor parameter optimization.
Learn more
Amdocs 5G SA Massive MIMO SSB Optimization
Introducing a cutting-edge algorithm designed to optimize beam configurations within massive MIMO (mMIMO) systems operating in the Grid-of-Beams (GoB) mode.
Amdocs Cell Outage Compensation
Introducing the Cell Outage Compensation xApp employing machine learning (ML) to identify the most effective strategies for cell outage compensation in near-real-time.
Resources
Latest insights
Frequently Asked Questions (FAQs)
What is Cognitive RAN Automation?
Cognitive RAN Automation uses artificial intelligence, machine learning and advanced analytics to automate radio access network operations, optimize performance and enable intelligent decision-making. It helps communications service providers improve efficiency, reduce manual intervention and accelerate network transformation.
How does Cognitive RAN Automation work?
Amdocs Cognitive RAN Automation uses artificial intelligence, machine learning and advanced analytics to continuously analyze network conditions, identify optimization opportunities and automate decision-making across the radio access network (RAN). By combining cross-vendor automation, network intelligence and closed-loop automation, the solution helps communications service providers optimize network performance, improve operational efficiency and accelerate the evolution toward autonomous network operations.
Why is AI important for RAN automation?
AI enables operators to move beyond traditional rules-based automation by identifying patterns, predicting issues and recommending or automating corrective actions. This improves operational efficiency, supports proactive network management and enables intelligent automation at scale across complex 5G networks.
How does Amdocs Cognitive RAN Automation help communications service providers?
Amdocs Cognitive RAN Automation combines AI, machine learning and cross-vendor automation capabilities to optimize RAN operations across multi-vendor network environments. The solution helps reduce operational costs, improve network performance and support the transition toward autonomous network operations.
What is the role of Cognitive RAN Automation in autonomous networks?
Cognitive RAN Automation provides the intelligence, automation and closed-loop optimization capabilities required for autonomous networks. By automating decision-making and operational processes, operators can improve network efficiency, accelerate service delivery and move toward self-optimizing network operations.