
Centre Okays Funding For AI Touch To Develop AI-Driven 5G RAN Platform
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 project under the TTDF scheme of USOF (now“Digital Bharat Nidhi”) 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 statement said.
The project is expected to deliver solutions that reduce operational complexities, improve cost efficiency for Mobile Network Operators and support new applications in the telecom sector. It aims to contribute to the development of an indigenous 5G ecosystem and lay the groundwork for future advancements, the statement explained.
The platform will demonstrate a sample application for managing user experience during congestion scenarios and provide interfaces for onboarding third-party applications. It 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 optimisation, SMO will enable cross-domain orchestration, and NWDAF will provide analytics and insights for better decision-making.
C-DOT CEO Rajkumar Upadhyay said,“C-DOT, as the implementation partner, will ensure that the project adheres to the highest standards of technological development. By facilitating collaboration between industry leaders like AI Touch, we are enabling the creation of indigenous solutions that will strengthen India's telecom ecosystem.”
Dr Parag Agarwal, DDG of TTDF (Telecom Technology Development Fund) said, "This project will not only bring AI-driven advancements but also lay the foundation for a self-reliant 5G ecosystem."
Amit Gupta, Partner at AI Touch, said,“Our focus is on leveraging AI and ML to create advanced analytics and intelligent models. In this project, we are leading the development of predictive capabilities and automation frameworks within RIC and NWDAF, ensuring the platform is equipped to handle complex network challenges with accuracy.”

Legal Disclaimer:
MENAFN provides the
information “as is” without warranty of any kind. We do not accept
any responsibility or liability for the accuracy, content, images,
videos, licenses, completeness, legality, or reliability of the information
contained in this article. If you have any complaints or copyright
issues related to this article, kindly contact the provider above.
Most popular stories
Market Research

- Stabull Finance Launches Long-Term Liquidity Mining Program, Activates Cross-Chain Swaps & Expands Ecosystem Support
- Klein Funding And Bybit Partner To Launch A New Era Of Crypto Prop Trading
- BTSE Announces Bitcoin Pizza Day Campaign Milestones
- Renowned Tech VC Backs Web3 Project At $470M Valuation
- Psy Develops First Trustless Bridge From Dogecoin To Solana
- Thinkmarkets To Launch Traders' Gym On Its Mobile App
Comments
No comment