Reena Raj Gandhi Shivakumar

Data collected from the site inspection is used in the IBWave simulation software for planning. Planning mainly involves the placement of antennas and the design of a realisable in-house network (GSM, LTE, 5G) according to specifications provided by the network provider like Telekom, etc. Simulation involves building modelling, predictions with heatmaps for analysing KPIs, etc.

Topic: Model-based Radio Environment Monitoring Description: Radio network monitoring in an industrial environment by the machine-learning-based parameterization of wireless propagation models. Key achievements: 1. Defined a reference environment 2. Developed a measurement framework. 3. Acquired the training data through simulation and real-world measurements. 4. Developed and applied a suitable machine learning regression algorithms. Programming language: Python Simulation tool: PyLayers Platform: Linux

Internship Topic: Measurements And Visualization of Wireless Signals for Industry 4.0 Key achievements: 1. Implemented the Augmented Reality (AR) demonstrations to display the status information of the wireless sensors. Software Tools: Unity 3D, Vuforia 2. Evaluated the in-house and on-site performance of 5G Non-Public Network (in terms of RSSI, SNR, etc.) by applying the Qualcomm MSM Interface (QMI) commands. Platform: Linux

Principle Subjects: Advanced Modulation and Coding, System Design, Digital Signal Processing, Microwave Components and Systems, Mobile and Satellite Communications, and Optical Communications.