Our main focus is on multi-dimensional research activities:
• Development of the framework for joint sensing and communication technology for the industrial scenarios.
• Development of the mahine learning techniques for cooperative spectrum sensing and localization.
• Development of the AI techniques for E2E prediction of critical QoS parameters for automotive and robotics use case.
• Development of the optimal beamforming techniques for the Massive multi-input multi-output (mMIMO) system.
• Physical layer design for the Ultra-Reliable Low-Latency Communication (URLLC).
• Control communication co-design for tactile and Ambient internets for 6G and 7G applications.
Studeis of C-RAN, X-RAN and O-RAN with Fronthaul, Bakhaul and Remote radio unit.
•Studeis and impact of funtional split in upcoming RAN architecture.
• Preamble design to perform the optimal detection and impact on synchronization error i.e., CFO and STO.
• Performance analysis of the 5G-NR and Redcap system (LTE- Rel. 17) in the presences of the synchronization errors.
• Studies of correlated non-stationary additive noise in narrowband power line communication systems.
• Development of the framework for joint sensing and communication technology for the industrial scenarios.
• AI-based E2E communication system design.
• Wireless sensor networks for mission critical applications.
• Performance analysis using physical layer abstraction modeling for 5G and beyond waveforms.
• Interference Modeling in LoRa and low power wide area network (LPWA) systems.