Ali Bereyhi

Scopus Author ID: 55821575700



Organisation


Professur für Informationsübertragung
Lehrstuhl für Digitale Übertragung


Publications (Download BibTeX)

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Bereyhi, A., Sedaghat, M.A., & Müller, R. (2018). RLS Recovery with Asymmetric Penalty: Fundamental Limits and Algorithmic Approaches. Podgorica, ME.
Bereyhi, A., Asaad, S., & Müller, R. (2018). Stepwise Transmit Antenna Selection in Downlink Massive Multiuser MIMO. Bochum, DE: IEEE.
Bereyhi, A., Haghoghatshoar, S., & Müller, R. (2018). Theoretical Bounds on MAP Estimation in Distributed Sensing Networks. IEEE International Symposium on Information Theory (ISIT): IEEE.
Sedaghat, M.A., Bereyhi, A., & Müller, R. (2017). A new class of nonlinear precoders for hardware efficient massive MIMO systems. In A New Class of Nonlinear Precoders for Hardware Efficient Massive MIMO Systems. Paris, FR: IEEE.
Asaad, S., Bereyhi, A., Sedaghat, M.A., Müller, R., & Rabiei, A.M. (2017). Asymptotic Performance Analysis of Spatially Reconfigurable Antenna Arrays. In Proceedings of 21 International ITG Workshop on Smart Antennas (WSA). Berlin, DE: VDE.
Bereyhi, A., Sedaghat, M.A., & Müller, R. (2017). Asymptotics of Nonlinear LSE Precoders with Applications to Transmit Antenna Selection. In Proceedings of IEEE International Symposium on Information Theory (ISIT). Aachen, DE: IEEE.
Asaad, S., Bereyhi, A., Müller, R., & Rabiei, A.M. (2017). Asymptotics of transmit antenna selection: Impact of multiple receive antennas. In Proceedings of IEEE International Conference on Communications (ICC). Paris, FR: IEEE.
Bereyhi, A., Sedaghat, M.A., Asaad, S., & Müller, R. (2017). Nonlinear Precoders for Massive MIMO Systems with General Constraints. In Proceedings of 21st International ITG Workshop on Smart Antennas (WSA). Berlin, DE: VDE.
Asaad, S., Bereyhi, A., Müller, R., Schaefer, R.F., & Rabiei, A.M. (2017). Optimal Number of Transmit Antennas for Secrecy Enhancement in Massive MIMOME Channels. Singapore, SG: IEEE.
Bereyhi, A., Schulz-Baldes, H., & Müller, R. (2017). Replica Symmetry Breaking in Compressive Sensing. (pp. 1 - 7). San Diego, CA, US: IEEE.

Last updated on 2019-22-01 at 17:51