Mr. Nithin Babu is a researcher at ALBA, hosted in the Research, Technology and Innovation Network (RTIN)’s Smart Wireless Future Technologies (SWIFT) Lab. He received the B.Tech degree in Electronics and Communication Engineering from the Cochin University of Science and Technology, India, in 2013, and the M.Tech degree in Communication Systems Engineering from Indian Institute of Technology, Patna, India, in 2016. He did his Masters thesis at Vodafone Chair, TU Dresden, Germany, under a scholarship for the DAAD-IIT Master Sandwich program, on the topic of Hybrid MIMO systems. From June 2016 to April 2019, he worked as an Assistant Professor at Rajagiri School of Engineering and Technology. His research interests include communication theory and signal processing for wireless communication. In the context of wireless communication, his interests include spectrum sensing and resource allocation for cognitive radio / shared spectrum systems, LoS-MIMO systems, and mm-Wave communication, among others. He has published one journal and one conference paper. He earned a tuition waiver scholarship for his B. Tech studies and was ranked “Best Student in Order of Merit” for his M.Tech degree. In May 2019, he joined the European ITN Project PAINLESS as an early stage researcher (ESR), for which he works on the topic of dynamic frequency planning and spectrum management for portable access points.
Research updates – Period 1
In the recent work, we propose a method for the energy-efficient 3-D placement of multiple aerial access points (AAPs), in the desired area, acting as flying base stations. The work considers an uplink transmission scenario in which the users share the same time and frequency resources. The energy-efficient UAV placement problem is decoupled in the vertical and horizontal dimensions. Firstly, the energy-efficient hovering altitude of a standalone AAP in the presence of inter-user interference is determined. Then the horizontal coordinates of the hovering location which maximize the packing density of the coverage circles in the desired area are determined. The higher the packing density, the higher GEE. In the considered scenario, the global energy efficiency of the system is theoretically proved to be a decreasing function of the hovering altitude that suggests the energy-efficient vertical coordinate of the UAV to be the minimum flying altitude permitted by the regulatory board. The horizontal coordinates of the UAVs are determined by modeling it as a circle packing problem. The work has been accepted for publication as a journal paper in a future issue of IEEE Communications Letters.
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