Communication and Signal Processing
The Communication and Signal Processing Research Group carries out research and development activities in the areas of communication systems and signal processing to address challenges in next-generation wireless networks, sensing systems, and data driven signal analysis. The group aims to contribute to theoretical advancements as well as practical solutions relevant to national and industrial requirements. The research activities of the group broadly cover the following areas:
- Wireless communication systems with emphasis on beyond 5G and 6G technologies, cooperative communications, spectrally and energy efficient communication, next-generation multiple access techniques (NGMA), Energy Harvesting, full-duplex communication, and integrated sensing and communication (ISAC), UAV-assisted Communication, and millimeter-wave and terahertz communications.
- Optical wireless communication with emphasis on free space optics (FSO), underwater optical wireless communication (UOWC), and non-terrestrial networks.
- Statistical signal processing, estimation and detection theory, adaptive signal processing, array signal processing, and spectrum sensing techniques for cognitive and intelligent communication systems.
- Physical-layer aspects of mobile RF, millimeter-wave MIMO, and terrestrial free-space optical (FSO) communication systems, Energy-efficient and low-power wireless communications, Baseband signal processing algorithms for flexible and reconfigurable RF and optical transmitters and receivers.
- Signal processing techniques for radar and sensing applications, including target detection, localization, tracking, waveform design, and joint radar-communication system analysis.
- Channel modelling, performance analysis of wireless systems under fading and interference, resource allocation, and optimization techniques for communication networks.
- Application of machine learning and artificial intelligence techniques to communication and signal processing problems such as channel estimation, signal detection, modulation classification, and network optimization.
- Image, speech, and biomedical signal processing, including image enhancement and compression, speech analysis, pattern recognition techniques, and graph signal processing.
Group Members:
Prof. Vijay Kumar Chakka
Prof. Vinod Sharma
Prof. Govind Sharma
Prof. Rakesh Bansal
Dr. Kamal Singh
Dr. Kamal Agrawal
Dr. Kumar Saurav