C-DOT and IIT Mandi Collaborate to Create Advanced Chip for Enhanced Spectrum Efficiency
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New Delhi, Jan 13 (NationPress) The Centre for Development of Telematics (C-DOT) has officially announced its collaboration with the Indian Institute of Technology Mandi (IIT Mandi), alongside the Indian Institute of Technology Jammu (IIT Jammu), to develop a Wideband Spectrum-Sensor ASIC-Chip aimed at Enhancing Spectrum Utilisation.
The primary goal of this initiative is to create a robust and user-friendly wideband spectrum sensing (WSS) algorithm that enhances spectrum efficiency by utilizing spectrum holes to provide broadband services in rural regions of India.
Dr. Raj Kumar Upadhyay, CEO of C-DOT, emphasized the importance of indigenous spectrum sensing technologies in catering to the diverse needs of our nation, reinforcing the dedication to Atmanirbhar Bharat.
As per a statement from the Ministry of Communications, spectrum sensing allows cognitive radio users to adapt to their surroundings by identifying spectrum holes while avoiding interference with the primary network.
This agreement falls under the Telecom Technology Development Fund (TTDF) initiative from the Department of Telecommunications, which is aimed at supporting Indian startups, academic institutions, and R&D organizations to facilitate affordable broadband and mobile services, thus playing a crucial role in bridging the digital divide throughout the nation.
The project will concentrate on designing communication algorithms that are hardware-friendly for sensing the wideband spectrum (extending beyond 2 GHz bandwidth) in order to identify and utilize underused bands (or white spaces), thereby improving the spectrum utilization efficiency of various communication systems.
Furthermore, the project will also aim to develop efficient hardware architectures for these spectrum sensors that ensure minimal sensing time, high data throughput, and enhanced hardware efficiency.
The government has indicated that this initiative will result in a hardware solution capable of scanning over 2 GHz of spectrum with minimal sensing time, ultimately enhancing the throughput of cognitive radio networks.
