M.Tech Fellows

Himani Kamboj

Advisor: Chandra R Murthy (ECE)

Himani is an M.Tech (Communication and Networks) student in the ECE department. She is currently working on developing a 3GPP standard aligned prototype of a Cell-free Distributed MIMO system with Dynamic TDD using OpenAirInterface (OAI) codebase and Software-defined Radio (SDR). Cell-free Distributed MIMO system provides high spectral & energy efficiency, overcomes inter-cell interference, and increases coverage probability. Dynamic TDD gives more flexibility to the system and improves throughput. This makes a Cell-free Distributed MIMO system with Dynamic TDD suitable for next-generation indoor & hot-spot coverage scenarios and critical outdoor coverage scenarios.

Rajat Chopra

Advisor: Aditya Gopalan (ECE)

Rajat is an M.Tech (Communication and Networks) student in ECE department. He is currently working on designing and  implementing a Medium Access Control (MAC) scheduler that allocates resource blocks (time -frequency resources) to the User Equipment considering the QOS requirements of different traffic flows at the MAC layer while maintaining an optimal throughput in the network. The evolution of wireless networks, aiming to provide high data rates and low latency makes new use cases like Vehicle-to-Vehicle/Infrastructure (V2X) more relevant. In these new scenarios, the User Equipment might not have a single type of data traffic, and different types of traffic might not have similar quality of service (QoS) requirements.

Robin Francis

Advisor: Sundeep Prabhakar Chepuri (ECE)

Robin is an M.Tech student in ECE department. His areas of research are distributed optimization and he is currently working on ”Distributed Graph Signal Processing using Orthogonal Polynomial”. The work focuses on solving optimization problems in a distributed manner for scenarios without central processor. In this work we make use of orthogonal polynomials to accelerate the rate of convergence to the desired value and thereby obtaining a good approximate with less computations and communications. The major applications of the proposed technique are in denoising, semi-supervised learning, prediction, and other machine learning tasks on data that are distributed in nature.

Sangisetty Usha Sree

Advisor: Anurag Kumar (ECE)

Usha Sree is a second year M.Tech (Communication and Networks) student in ECE department. She obtained her B.Tech degree in ECE from NIT Warangal in 2019. She is currently working on designing and implementing a multi-hop network for IoT/CPS such that the overall network is simple, consumes less energy and takes less delay in transferring the sensed data from mobile sensors to the fusion centre via an IEEE 802.15.4 infrastructure network. Here, the mobile sensors are clock synchronized to have a common sampling point and the mean batch delay is computed for different sampling rates and network loads in the infrastructure network. The aim is to control the mobile and the infrastructure network for improving the end-to-end inference performance.

Sanjhi Gupta

Advisor: Chandra R. Murthy (ECE)

Sanjhi is an M.Tech (Communication and Networks) student in ECE department. Her research work is aimed to establish an experimental prototype and evaluate the possible performance enhancement of cell-free distributed MIMO system using the OpenAirInterface built-in emulation platform which provides open source implementations of 5G-NR protocol stack meeting the 3GPP specifications. The system can be used to mitigate the cell-edge effects caused by path-loss and inter-cell interference by allowing the user-equipment to connect to multiple base-stations irrespective of the cell boundary, all of which serves the user in a coordinated manner.  Hence, the system provides uniformly good service for all users in addition to greater reliability and large energy efficiency. 

Sujata Sinha

Advisor: A. Chockalingam (ECE)

Sujata is an Mtech (research) student in ECE department. She is currently working on designing and simulating Orthogonal Space-Time Frequency (OTFS) modulation for Visible Light Communications in an indoor local area network environment. OTFS is 2D signalling technique which effectively tackles the high mobility issues in time-varying wireless communications. The setup uses low-cost Light Emitting Diodes (LEDs) and Photodetectors (PD) for transmitters and receivers using visible light spectrum (wavelength: 400 – 700 nm) which is available in abundance at no cost, without the need for licensing, no radiation issues and provides inherent security in closed room application. Also, using white light, it can simultaneously be used for data transmission and lightening.