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Technical University of Munich
Technical University of Munich

Foto von Xinyang Li

Xinyang Li, M.Sc.

Biography

Xinyang Li finished his Bachelor study in 2018 at Xidian University, China. From 2020 to 2022 he studied at Technical University of Munich (TUM) in Germany and received his M.Sc. degree in Electrical and Computer Engineering with the focus on wireless communication and signal processing. Since June 2022, he is a PhD student at the chair of Theoretical Information Technology, TUM.

He is now with the Advanced Communication Systems and Embedded Security (ACES) Lab and his research interests include joint communication and sensing, radio-based localization.

Research Interests

  • Joint communication and sensing
  • Software-defined radio
  • Digital twin enabled wireless communication and signal processing
  • Machine learning and optimization
  • Radio based SLAM

If you are also interested in these topics and are looking for student works, please feel free to contact me at xinyang.li@tum.de.

Teaching

Software Defined Radio Laboratory

Publications (MediaTUM)

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2023

  • V.-C. Andrei, X.-Y. Li, U.J. Mönich, H. Boche: Sensing-Assisted Receivers for Resilient-By-Design 6G MU-MIMO Uplink. IEEE 3rd International Symposium on Joint Communications & Sensing, IEEE, 2023JC&S more… Full text ( DOI )
  • X.-Y. Li, V-.C. Andrei, U.J. Mönich, H. Boche: Optimal Linear Precoder Design for MIMO-OFDM Integrated Sensing and Communications Based on Bayesian Cramér-Rao Bound. IEEE Global Communications Conference, IEEE, 2023Selected Areas in Communications: Integrated Sensing and Communication more…
  • X.-Y. Li, V.-C. Andrei: Digital Twin Enabled Joint Communication and Sensing. Strategietreffen National Instruments, 2023 more…
  • X.-Y. Li, V.-C. Andrei, U.J. Mönich, H. Boche: Optimal and Robust Waveform Design for MIMO-OFDM Channel Sensing: A Cramér-Rao Bound Perspective. IEEE International Conference on Communications, IEEE, 2023 more…

2022

  • O. DeCandido, X.-Y. Li, W. Utschick: An Analysis of Distributional Shifts in Automated Driving Functions in Highway Scenarios. 2022 IEEE 95th Vehicular Technology Conference, IEEE, 2022VTC2022-Spring more…
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