Fast antenna subset selection in MIMO systems

By Mohammad Gharavi-Alkhansari, Alex B. Gershman. IEEE Transactions on Signal Processing, 2004

436 citations recorded by the source corpus.

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Hybrid Beamforming for Massive MIMO - A Survey (2016, background): “IV, it turns out that in sparse mm-wave multipath channels, the fast and greedy based antenna subset selection [69], [70] performs as robust as the exhaustive antenna search in terms of the spectrum efficiency when combined with a baseband combiner.”
Low complexity user selection algorithms for multiuser MIMO systems with block diagonalization (2006, methodology): “A low-complexity antenna selection algorithm is proposed in [13] that achieves almost the same outage capacity as the optimal selection method.”
Hybrid MIMO Architectures for Millimeter Wave Communications: Phase Shifters or Switches? (2015, methodology): “The algorithm in [70] focuses only in the design of the analog switching stage, while [74] provides a hybrid design including the baseband combiner.”
MIMO Capacity Characterization for Movable Antenna Systems (2022, background): “However, deploying more candidate antennas requires higher hardware cost, and the overhead of channel estimation and the computational complexity of AS algorithms grow greatly with the total number of antennas [8].”