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Open RAN Toolkit

Bringing the power of MLOps & Automation to ORAN.

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Open RAN Toolkit

Are you already planning to deploy Open RAN?

While vendor-specific network equipment and software solutions can work well for certain use cases, they may also come with some limitations and drawbacks, such as vendor lock-in, lack of flexibility, higher costs, limited innovation, and security risks.

Have you started to explore the potential of developing r-Apps for non-RT RIC?

Have you started to explore the potential of developing r-Apps for non-RT RIC?

In the absence of r-Apps, operators may encounter suboptimal network performance, heightened congestion, or elevated costs, among others. Consequently, this can limit to fully leverage of the advantages associated with network slicing, load balancing, congestion management, and network optimization.

disadvantage

Suboptimal network performance

disadvantage

Increased congestion

Are you getting the most out of your SMO/RIC investment?

Are you getting the most out of your SMO/RIC investment?

Without the full usage of rApps, service providers will react slower to customer needs, they will not have as much control over operations and the network performance will not benefit from automatic and dynamic optimizations and self-healing actions.

Competitors that succeed in orchestrating this rApps ecosystem will be in a much better position in terms of market proposition and network efficiencies.

disadvantage

Customer needs are not being promptly addressed

disadvantage

Weak market position and network inefficiencies

Tupl’s Open RAN Toolkit represents an rApp development environment that enables Domain experts to deploy their knowledge as digital assets

video Open RAN Toolkit play video

What benefits can you expect from Open RAN Toolkit?

Less
r-App LOE

Faster
r-App development

Higher
Compatibility with SMO/RIC

Transform RAN Domain Experts into r-Apps developers with a low-code, UI-based framework that speeds up time-to-market

video Based on TuplOS, our MLOps platform for Hyperautomation play video

Based on TuplOS, our MLOps platform for Hyperautomation

advantage

O1 client, A1 functions, and r-App service exposure functions added for R1 interface to fulfil Service Management and Orchestration and non-real time RAN Intelligent Controller functionality

advantage

Feature engineering and Machine Learning model definition and training allows RAN domain experts to create and deploy their own r-Apps

advantage

Python-based development toolkit for creating and deploying cloud r-Apps, controlled and managed by Tupl's solution

video Leverages machine learning for efficient incident resolution play video

Leverages machine learning for efficient incident resolution

advantage

Continuous monitoring of KPIs and prediction of causes of incidents using a trained machine learning model.

advantage

Creation of tickets with recommended actions, such as O1 CM changes or A1 policies.

video Machine learning training for optimized troubleshooting and analysis play video

Machine learning training for optimized troubleshooting and analysis

advantage

Define KPIs to aggregate ORAN interface data counters.

advantage

Define ML features based on RAN SME experience and observations.

advantage

Create and train ML model with Tupl MLTK, capturing expert knowledge during training.

advantage

Generate dataset with Tupl Synthetic Data Generator or label real data samples for training.

Get a demo of Open RAN Toolkit today

Get started and request a demo to learn how Open RAN Toolkit can help you.

Request a demo

Frequently Asked Questions

Below you will find answers to the most common questions about ORAN.

How does Tupl Open RAN Toolkit work?

ampliar

Tupl Open RAN operates as a comprehensive solution that harnesses advanced technologies and methodologies to optimize and manage RAN networks. It begins by collecting a wide range of network data from multiple sources, including performance metrics, configuration parameters, and alarms. This data is then analyzed in real-time using sophisticated analytics techniques, including machine learning and AI algorithms. The system generates valuable insights and action recommendations about network performance, user experience, customer complaints...and more!

What type of actions does Tupl Open RAN Toolkit address?

ampliar

Tupl Open RAN Toolkit provides recommendations for network optimization, such as troubleshooting, adjusting configurations, resource allocation, implementing power saving policies... It automates various network processes, such as service provisioning, network monitoring, fault detection, NOC operations... reducing manual intervention in many fronts. Operators can also leverage Tupl Open RAN's r-App development environment to create and deploy customized applications that address specific network challenges. Having the possibility to face new challenges is key to be ready for the future networks.

How do r-Apps work?

ampliar

SMO and its non-RIC deliver value through Radio Access Network (RAN) automation applications (rApps). rApps enable service providers to automatically and quickly manage service policies, flexibly adapt to the always-evolving customer needs, seamlessly apply RAN transformations as well as keep control of the network optimization and availability. Most importantly, rApps will prepare you for future networks!

Get a demo of Open RAN Toolkit today

Get started and request a demo to learn how Open RAN Toolkit can help you.

Request a demo
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