

Cognitive RAN Automation
Cognitive RAN Automation
Leverage cognitive intelligence to drive automation across your network, leading to improved customer experience and optimized operations.
Cognitive RAN Automation
Accelerate the adoption of cross vendor, ML powered RAN automation.
Amdocs Cognitive RAN Automation addresses todays challenges of fragmented platforms & tools, limitations in rules-based approaches and network centricity.
Amdocs Cognitive RAN Automation accelerates the adoption of vendor neutral, ML powered RAN automation. It allows you reduce automation costs through cross vendor automation, apply systematic intelligence to allow you to automate more, and lay the foundations for the agentic RAN.


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.

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.

Benefits of Cognitive RAN Automation
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Improved quality of service
Business driven automation leads to enhanced customer network experience.
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Reduced TCO
Optimize network deployment and operations, lowering both CAPEX and OPEX.
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Faster time to value
Streamline the process to create new automations, enhancing overall time to value.
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Enhanced accuracy
Harness the power of the integrated digital twin to simulate recommendations before implementation.
Improved performance with automation
Over 10%
reduction in energy consumption with EMS rApp
Up to 25%
improvement in 3D coverage with massive MIMO rApp
10%
reduction in radio interference
under 1
minute Cell outage remediation