Localization and situational awareness for high reliability in integrated sensing and communication 6G networks
Hosted by Silicon Austria Labs and enrolled in the Doctoral Program at the Technische Universität Wien.
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Description of research
The research aims to develop algorithms for high-accuracy prediction and situational awareness tailored for wireless communication in industrial environments. Through the joint utilization of sensing and communication data, enhancements such as reliable localization and sensing techniques, obstacle detection, and avoidance, and model-based and data driven (e.g., machine learning) predictive algorithms will be investigated. A key focus is on forecasting communication properties over a given future time-frame. By analyzing real-time sensing data and network conditions, the research will enable proactive decision-making, including predicting potential communication degradation and optimizing operational adjustments such as dynamic speed or path modifications for mobile robotic platforms and automated guided vehicles in industrial environments. This work will contribute to more efficient and resilient industrial automation and connectivity.
Short bio of DC
Ashwin Sathishkumar is a doctoral candidate in the ISAC-NEWTON Marie Skłodowska-Curie Doctoral Network. He holds an integrated Master’s degree in Mathematics and a Bachelor’s degree in Electronics and Instrumentation Engineering from BITS Pilani, India. He pursued his bachelor’s thesis at Offenburg University of Applied Sciences in Germany, where he worked on demonstrating 5G use cases using virtualized testbeds. For his master’s thesis at Technische Universität Braunschweig, he focused on multi-user reconfigurable intelligent surface (RIS) optimization at sub-Terahertz (THz) frequencies in a ray-tracing framework.
Within the ISAC-NEWTON project, he works with Silicon Austria Labs (SAL) and Technische Universität Wien. His research addresses localization and situational awareness through the joint use of sensing and communication data, with the goal of improving reliability in industrial wireless networks.
His interests and expertise include signal processing, optimization theory, beamforming, statistical modelling, and simulations. He is motivated by the paradigm that ISAC introduces to wireless systems, where predictive models shift communication from passive reaction to context-aware adaptation.
Simplified Summary
This page is about Ashwin. He is hosted by Silicon Austria Labs and enrolled with TU Wien.