Projects per year
Personal profile
Research profile
Ashkan Farsaei is enrolled in an industrial Ph.D. program, i.e., SILIKA, which is a European funded Marie Curie project with partners from Sweden, Belgium, and the Netherlands. He is affiliated with the Signal Processing Systems (SPS) group in the Electrical Engineering Department of Eindhoven University of Technology (TU/e) and he is a member of the Information and Communication Theory Lab. His research focuses on signal processing techniques related to the fifth-generation (5G) of mobile communication systems.
Academic background
Ashkan Farsaei holds a B.Sc. (2013) and M.Sc. (2015) degrees in Electrical Engineering from Sharif University of Technology, Tehran, Iran. His MSc research focused on the millimeter-wave imaging system, which is used in the airports.
During his Ph.D., he did an industrial internship in Ericsson Research for 18 months, where he focused on practical aspects of research related to 5G and beyond.
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Education/Academic qualification
Electrical engineering, Master, Sharif University of Technology
Award Date: 22 Sept 2016
Electrical engineering, Bachelor, Sharif University of Technology
Award Date: 1 Jul 2013
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Projects
- 1 Finished
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SILIKA: Silicon-based Ka-band massive MIMO antenna systems for new telecommunication services SPS
Willems, F. M. J., Farsaei, A., Alvarado, A., Sanders, R., Barreiro, A. & de Jonge, M.
1/09/16 → 31/08/20
Project: Research direct
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Research output
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A mm-Wave Phased-Array Fed Torus Reflector Antenna with ±30° Scan Range for Massive-MIMO Base-Station Applications
Elsakka, A., Farsaei, A., van den Biggelaar, A. J., Reniers, A. C. F., Johansson, M. N., Maaskant, R., Johannsen, U., Iupikov, O. A., Smolders, A. B. & Ivashina, M. V., 1 May 2022, In: IEEE Transactions on Antennas and Propagation. 70, 5, p. 3398-3410 13 p.Research output: Contribution to journal › Article › Academic › peer-review
3 Citations (Scopus)6 Downloads (Pure) -
A Low-Complexity Hybrid Linear and Nonlinear Precoder for Line-Of-Sight Massive MIMO with Max-Min Power Control
Farsaei, A., Gustavsson, U., Alvarado, A. & Willems, F. M. J., 1 Dec 2021, In: IEEE Transactions on Wireless Communications. 20, 12, p. 8410-8422 13 p.Research output: Contribution to journal › Article › Academic › peer-review
1 Citation (Scopus) -
An Improved Successive Filter-Based Dropping Algorithm for Massive MIMO with Max-Min Power Control
Farsaei, A., Gustavsson, U., Alvarado, A. & Willems, F. M. J., Sept 2021, In: IEEE Communications Letters. 25, 9, p. 3099-3103 5 p., 9462905.Research output: Contribution to journal › Article › Academic › peer-review
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Cell Partitioning Antenna System Performance in Multi-User Scenarios for mmWave Communications
Bressner, T., Elsakka, A., Farsaei, A., Johansson, M. N., Iupikov, O. A., Maaskant, R., Smolders, A. B. & Johannsen, U., 8 Sept 2021, In: IEEE Access. 9, p. 127141-127149 9 p.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile1 Citation (Scopus)33 Downloads (Pure) -
DropNet: An Improved Dropping Algorithm Based On Neural Networks for Line-of-Sight Massive MIMO
Farsaei, A., Sheikh, A., Gustavsson, U., Alvarado, A. & Willems, F. M. J., 18 Feb 2021, In: IEEE Access. 9, p. 29441-29448Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile32 Downloads (Pure)