Stepwise Transmit Antenna Selection in Downlink Massive Multiuser MIMO

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Details zur Publikation

Autor(en): Bereyhi A, Asaad S, Müller R
Verlag: IEEE
Jahr der Veröffentlichung: 2018
ISBN: 978-3-8007-4541-8
Sprache: Englisch


Due to the large power consumption in RF-circuitry of massive MIMO
systems, practically relevant performance measures such as energy
efficiency or bandwidth efficiency are neither necessarily monotonous
functions of the total transmit power nor the number of active antennas.
Optimal antenna selection is however computationally infeasible in
these systems. In this paper, we propose an iterative algorithm to
optimize the transmit power and the subset of selected antennas subject
to non-monotonous performance measures in massive multiuser MIMO
settings. Numerical results are given for energy efficiency and
demonstrate that for several settings the optimal number of selected
antennas reported by the proposed algorithm is significantly smaller
than the total number of transmit antennas. This fact indicates that
antenna selection in several massive MIMO scenarios not only reduces the
hardware complexity and RF-costs, but also enhances the energy
efficiency of the system.

FAU-Autoren / FAU-Herausgeber

Asaad, Saba
Lehrstuhl für Digitale Übertragung
Bereyhi, Ali
Lehrstuhl für Digitale Übertragung
Müller, Ralf Prof. Dr.-Ing.
Professur für Informationsübertragung


Bereyhi, A., Asaad, S., & Müller, R. (2018). Stepwise Transmit Antenna Selection in Downlink Massive Multiuser MIMO. Bochum, DE: IEEE.

Bereyhi, Ali, Saba Asaad, and Ralf Müller. "Stepwise Transmit Antenna Selection in Downlink Massive Multiuser MIMO." Proceedings of the 22nd International ITG Workshop on Smart Antennas (WSA), Bochum IEEE, 2018.


Zuletzt aktualisiert 2018-22-09 um 14:53