Massive MIMO antenna selection algorithms based on iterative swapping

Hua Tang; Zaiping Nie

Massive MIMO antenna selection algorithms based on iterative swapping

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Author(s): Hua Tang¹ and Zaiping Nie¹
- Affiliations: 1: School of Electronic Engineering , University of Electronic Science and Technology of China , Chengdu , People's Republic of China
Source: Volume 54, Issue 4, 22 February 2018, p. 190 – 192
DOI: 10.1049/el.2017.4346 , Print ISSN 0013-5194, Online ISSN 1350-911X

Received 23/11/2017, Published 11/01/2018

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.

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Massive MIMO antenna selection algorithms based on iterative swapping

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