AI Touch Receives Grant to Develop AI-Driven 5G RAN Platform with RIC (RAN Intelligent Controller), SMO (Service Management and Orchestration), and NWDAF (Network Data Analytics Function)

AI Touch LLP has been awarded funding under the Department of Telecommunications’ TTDF scheme of USOF (now “Digital Bharat Nidhi”). AI Touch will develop components for disaggregated 5G RAN (Radio Access Network) including RAN Intelligent Controller (RIC), Service Management and Orchestration (SMO), and Network Data Analytics Function (NWDAF) modules.

The project aims to develop a platform integrating SMO, RIC, and NWDAF modules for 5G RAN with an AI/ML-powered intent engine. It facilitates intelligent and automated control of RAN and Core nodes through AI/ML-based applications and closed-loop automation. The platform will demonstrate a sample application for managing user experience during congestion scenarios and provide interfaces for onboarding third-party applications. The platform will integrate Non-Real-Time RIC, Near-Real-Time RIC, SMO, and NWDAF to enhance network automation and performance. The RIC modules will support AI/ML-driven network optimization, SMO will enable cross-domain orchestration, and NWDAF will provide analytics and insights for better decision-making. These solutions will bring operational efficiency to the 5G network. The Centre for Development of Telematics (C-DOT), the premier telecom R&D centre under the Department of Telecommunications (DoT), Government of India, will oversee the implementation of the project.

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