Open AccessMassive MIMO antenna selection algorithms based on iterative swapping
Author(s) -
Tang Hua,
Nie Zaiping
Publication year - 2018
Publication title -
electronics letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.375
H-Index - 146
eISSN - 1350-911X
pISSN - 0013-5194
DOI - 10.1049/el.2017.4346
Subject(s) - mimo , antenna (radio) , selection (genetic algorithm) , algorithm , computer science , iterative method , metric (unit) , 3g mimo , reconfigurable antenna , smart antenna , selection algorithm , directional antenna , electronic engineering , telecommunications , radiation pattern , antenna efficiency , engineering , beamforming , artificial intelligence , operations management
Based on capacity maximisation metric, an iterative swapping antenna selection method is proposed for massive multiple‐input multiple‐output (MIMO). Then a ‘local’ swapping algorithm is proposed for massive MIMO antenna selection, which swaps the target antennas ‘locally’. A ‘global’ swapping algorithm is also proposed to reduce the computational complexity, which exchanges the target antennas ‘globally’. Both of the proposed algorithms are near optimal, due to the consideration of the influences of the unselected antennas and the selected ones on the antenna to be selected. Last, numerical simulations are provided to validate the proposed algorithms.