Arslan Ali



Organisationseinheit


Professur für Technische Elektronik
Lehrstuhl für Technische Elektronik


Preise / Auszeichnungen


2019 : Finalist for the IEEE Young Professionals Best Paper Award for "The Phase Noise and Clock Synchronous Carrier Frequency Offset based RF Fingerprinting for the Fake Base Station Detection"
2019 : IEEE Best Student Paper Award (1st Place) for "Symbol Based Statistical RF Fingerprinting for Fake Base Station Identification"
2014 : German Academic Exchange Service's (DAAD) STIBET Final Year Scholarship for Master's Degree


Publikationen (Download BibTeX)


Ali, A., & Fischer, G. (2019). Enabling Fake Base Station Detection through Sample-based Higher Order Noise Statistics. (Unpublished, Accepted).
Ali, A., & Fischer, G. (2019). Symbol Based Statistical RF Fingerprinting for Fake Base Station Identification. (Unpublished, Accepted).
Ali, A., & Fischer, G. (2019). The Phase Noise and Clock Synchronous Carrier Frequency Offset based RF Fingerprinting for the Fake Base Station Detection. (Unpublished, Accepted).
Ali, A., Fischer, G., Burkhardt, F., & Breiling, M. (2018). Comparison of Various Hardware Architectures for the Shared UE-Side Distributed Antenna Component. Seoul, South Korea: Seoul, South Korea.
Gröschel, P., Zarei, S., Carlowitz, C., Lipka, M., Sippel, E., Ali, A.,... Vossiek, M. (2017). A System Concept for Online Calibration of Massive MIMO Transceiver Arrays for Communication and Localization. IEEE Transactions on Microwave Theory and Techniques. https://dx.doi.org/10.1109/TMTT.2017.2663404
Sedaghat, M.A., Müller, R., Fischer, G., & Ali, A. (2016). Discrete Load-Modulated Single-RF MIMO Transmitters. München, DE.
Ali, A. (2015). Baseband Architecture Design of Massive MIMO Communication System with FPGAs. In Proceedings of the 26th Meeting of ITG Professional Group for Applied Information Theory on Massive MIMO Theory and Applications. Stuttgart, DE.

Zuletzt aktualisiert 2019-11-04 um 18:28