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An efficient precoding algorithm for mmWave massive MIMO systems


Khan, Imran and Henna, Shagufta and Anjum, Nasreen and Sali, Aduwati and Rodrigues, Jonathan and Khan, Yousaf and Khattak, Muhammad Irfan and Altaf, Farhan (2019) An efficient precoding algorithm for mmWave massive MIMO systems. Symmetry, 11 (9). art. no. 1099. pp. 1-16. ISSN 2073-8994


Symmetrical precoding and algorithms play a vital role in the field of wireless communications and cellular networks. This paper proposed a low-complexity hybrid precoding algorithm for mmWave massive multiple-input multiple-output (MIMO) systems. The traditional orthogonal matching pursuit (OMP) has a large complexity, as it requires matrix inversion and known candidate matrices. Therefore, we propose a bird swarm algorithm (BSA) based matrix-inversion bypass (MIB) OMP (BSAMIBOMP) algorithm which has the feature to quickly search the BSA global optimum value. It only directly finds the array response vector multiplied by the residual inner product, so it does not require the candidate’s matrices. Moreover, it deploys the Banachiewicz–Schur generalized inverse of the partitioned matrix to decompose the high-dimensional matrix into low-dimensional in order to avoid the need for a matrix inversion operation. The simulation results show that the proposed algorithm effectively improves the bit error rate (BER), spectral efficiency (SE), complexity, and energy efficiency of the mmWave massive MIMO system as compared with the existing OMP hybrid and SDRAltMin algorithm without any matrix inversion and known candidate matrix information requirement.

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Official URL or Download Paper: https://www.mdpi.com/2073-8994/11/9/1099

Additional Metadata

Item Type: Article
Divisions: Faculty of Engineering
DOI Number: https://doi.org/10.3390/sym11091099
Publisher: MDPI
Keywords: Beamforming; 5G; Massive MIMO; mmWave communications; Spectral efficiency
Depositing User: Nabilah Mustapa
Date Deposited: 04 May 2020 16:10
Last Modified: 04 May 2020 16:10
Altmetrics: http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.3390/sym11091099
URI: http://psasir.upm.edu.my/id/eprint/38270
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