RIA RAN consists of a purpose-built radio application and the RIA RAN gNB. The RIA RAN gNB integrates high-performance ML inference software onto the gNodeB. RIA RAN, integrates deep learning models into open source telecommunications infrastructure, giving them the ability to harness the power of AI for a range of sensing and communications tasks. RIA RAN is designed to enhance applications within telecommunications, defense, and satellite communications. Leveraging the latest advancements in deep learning, artificial intelligence, and big data analytics, RIA RAN is set to redefine the value of OpenRAN and SDR-based networks.
Key Features
- End-to-End Deployment: From data capture to deployment, RIA RAN offers a seamless, fully automated process.
- Automation: Reduce manual efforts in development and testing with AI-driven solutions.
- Cost-Effective Solutions: Deploy OpenRAN-compliant applications affordably on commodity hardware.
Benefits
- Enhances a network: Transform your communications-oriented radios into dynamic sensing platforms.
- Scalability: Whether it’s small networks or large-scale deployments, RIA RAN is adept at handling varying scales with ease.
- Future-Ready: With RIA RAN, models can be redeployed, thereby enabling the most state-of-the art methods to be used in production.
- Low latency: With predictions coming directly from the gNodeB, enable the integration of ML into mission critical physical layer processing applications.
Credit: Melodia et al
Applications
RIA RAN finds use in a wide range of sectors:
- Telecommunications: Revolutionize how 5G networks operate with enhanced efficiency and security.
- Defense & Security: Gain superior situational awareness with advanced signal processing and anomaly detection capabilities.
- Satellite Communications: Integrate system resilience into 5G Non-Terrestrial Networks.
- Automotive: Provides a platform for coordinating advanced vehicular communications in congested and mission critical environments.
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