Highly selective and tunable microwave photonic filter using parallel Fabry-Perot filters for universal mobile telecommunications system noise and interference suppression. - Ramasamy Kandasamy Jeyachitra; R. Sukanesh (IET Commun., 2011)

Dual-Mode Generalized Spatial Modulation MIMO for Visible Light Communications. - Chandrabose Rajesh Kumar; Ramasamy Kandasamy Jeyachitra (IEEE Commun. Lett., 2018)

Improved Joint Generalized Spatial Modulations for MIMO-VLC Systems. - Chandrabose Rajesh Kumar; Ramasamy Kandasamy Jeyachitra (IEEE Commun. Lett., 2018)

Low complexity LED grouping based precoding-aided spatial modulation for highly correlated large-scale MIMO-VLC channels. - Chandrabose Rajesh Kumar; Ramasamy Kandasamy Jeyachitra (IET Commun., 2019)

Illumination, communication and energy efficiency analysis of indoor visible light communication systems under the influence of optical source emission characteristics. - C. Jenila; Ramasamy Kandasamy Jeyachitra (Photonic Netw. Commun., 2019)

Development of new seed with modified validity measures for k-means clustering. - S. Manochandar; M. Punniyamoorthy 001; Ramasamy Kandasamy Jeyachitra (Comput. Ind. Eng., 2020)

Green indoor optical wireless communication systems: Pathway towards pervasive deployment. - C. Jenila; Ramasamy Kandasamy Jeyachitra (Digit. Commun. Networks, 2021)

Unipolar Precoder Designs for Generalized Spatial Modulation MIMO-VLC Systems. - C. Rajesh Kumar; Ramasamy Kandasamy Jeyachitra (Wirel. Pers. Commun., 2021)

Implementation of area-efficient AES using FPGA for IOT applications. - Muttuluru Sreekanth; R. K. Jeyachitra (Int. J. Embed. Syst., 2022)

Optimization of received signal strength in visible light communication using the combination of heuristic algorithms. - Suganya Pandarinathan; R. K. Jeyachitra (Int. J. Commun. Syst., 2024)

Vehicle light communication design using an efficient learning model. - C. Sathish kumar; R. K. Jeyachitra (Phys. Commun., 2024)

Energy-efficient design for green indoor OWC-IoT systems using passive reflective filters and machine learning-assisted quality prediction. - C. Jenila; R. K. Jeyachitra (Telecommun. Syst., 2024)