AI Touch LLP has been awarded funding under a Department of Telecommunications scheme to 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, according to an official statement issued on Wednesday.
The project will bring operational efficiency to the 5G network and its implementation will be overseen by the Centre for Development of Telematics (C-DOT).
The goal of the USOF (now "Digital Bharat Nidhi") TTDF project is to create a platform that combines SMO, RIC, and NWDAF modules for 5G RAN with an intent engine driven by AI and ML. According to the statement, AI/ML-based applications and closed-loop automation enable intelligent and automated control of RAN and core nodes.
It is anticipated that the project will produce solutions that lower operational complexity, increase mobile network operators' cost effectiveness, and facilitate new telecom applications. According to the statement, it seeks to establish the foundation for upcoming developments and aid in the creation of an indigenous 5G ecosystem.
The platform will offer interfaces for onboarding third-party apps and showcase an example application for controlling user experience in situations of congestion. To improve network automation and performance, it will incorporate SMO, NWDAF, Non-Real-Time RIC, and Near-Real-Time RIC.
SMO will make cross-domain orchestration possible, the RIC modules will facilitate AI/ML-driven network optimization, and NWDAF will offer insights and analytics to improve decision-making.
"C-DOT, as the implementation partner, will ensure that the project adheres to the highest standards of technological development," stated C-DOT CEO Rajkumar Upadhyay. We are enabling the development of domestic solutions that will fortify India's telecom ecosystem by fostering cooperation between leading companies in the sector, such as AI Touch.
TTDF (Telecom Technology Development Fund) DDG Dr. Parag Agarwal stated, "This project will not only bring AI-driven advancements but also lay the foundation for a self-reliant 5G ecosystem."
"Our focus is on leveraging AI and ML to create advanced analytics and intelligent models," stated Amit Gupta, Partner at AI Touch. We are spearheading the creation of automation frameworks and predictive capabilities within RIC and NWDAF as part of this project, making sure the platform is prepared to accurately manage intricate network issues.
