Prof. J.K. Mandal received his M.Sc. in Physics from Jadavpur University in 1986 and M.Tech. in Computer Science from the University of Calcutta, and was awarded a Ph.D. in Computer Science and Engineering by Jadavpur University in 2000. Currently, he is a Professor of Computer Science and Engineering and was Dean of the Faculty of Engineering, Technology and Management, Kalyani University, West Bengal for two consecutive terms, having started his career as a lecturer at NERIST, Arunachal Pradesh in 1988. His areas of research include coding theory, data and network security, remote sensing and GIS based applications, data compression, error correction, visual cryptography, steganography, security in MANET, wireless networks and unify computing. He has published than 30 proceedings volumes, 6 books, 160 journal articles and 300 other articles. He is one of the editors of the Springer AISC and CCIS Series.
The efficient operation of massive MIMO systems has been validated in various environments, both indoor and outdoor. It has also been proven that the massive MIMO system provides a robust operation with low complexity radio frequency and baseband circuit [50]. The hardware implementation of a massive MIMO system also have been tested successfully, and it was proven that these systems could be built with very low complex and low-cost hardware for both digital baseband and analog RF chains [50]. Moreover, many precoding, detection, scheduling, and equalization algorithms have been designed to reduce cost and power further. All these new innovations and development in massive MIMO promote an attractive deployment of this technology required for 5G and beyond wireless networks.
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