DC13

This research aims to leverage 5G signals in Non-Terrestrial Networks (NTN) to achieve two key objectives: sensing user terminals and identifying and localising interference devices within the network. Position estimation will be performed both at the ground station and onboard the satellite, necessitating the development of low-complexity algorithms suitable for these environments. Given the challenges inherent to satellite communications, the study will focus on delay-tolerant and robust solutions to ensure reliability across various applications. The expected outcomes include three key proposals to enhance terminal sensing at both the ground station and satellite using uplink and downlink signals. Anticipated results involve the development of novel machine learning-based algorithms for position estimation and interference cancellation, along with joint interference sensing solutions. A proof-of-concept (PoC) or demonstrator will also be implemented, with a particular emphasis on solutions based on DVB-S signals.

1. The candidate must not have been awarded a PhD Degree.
2. A Master’s Degree is required in Electrical Engineering, Computer Science, Telecommunications, or a related field.
3. Candidates must not have resided in Spain for more than 12 months within the three years preceding their employment start date. Additionally, for the remainder of this period, candidates must provide evidence of residing outside Spain.
4. Proficiency in written and spoken English is required and must be formally demonstrated.
5. Both the Bachelor’s and Master’s degrees must be awarded by an academic institution officially recognized by the Spanish government, provided that at least 300 ECTS credits have been passed in these two cycles as a whole, with at least 60 ECTS being from the Master’s level.