An Efficient Precoding Algorithm for mmWave Massive MIMO Systems
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) ha...
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| Format: | Article |
| Language: | English |
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MDPI AG
2019-09-01
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| Series: | Symmetry |
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| Online Access: | https://www.mdpi.com/2073-8994/11/9/1099 |
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| author | Imran Khan Shagufta Henna Nasreen Anjum Aduwati Sali Jonathan Rodrigues Yousaf Khan Muhammad Irfan Khattak Farhan Altaf |
| author_facet | Imran Khan Shagufta Henna Nasreen Anjum Aduwati Sali Jonathan Rodrigues Yousaf Khan Muhammad Irfan Khattak Farhan Altaf |
| author_sort | Imran Khan |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-04-13T06:52:32Z |
| format | Article |
| id | doaj.art-b4470e48c5754e008dcd4c2cc6cc9e34 |
| institution | Directory Open Access Journal |
| issn | 2073-8994 |
| language | English |
| last_indexed | 2024-04-13T06:52:32Z |
| publishDate | 2019-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Symmetry |
| spelling | doaj.art-b4470e48c5754e008dcd4c2cc6cc9e342022-12-22T02:57:22ZengMDPI AGSymmetry2073-89942019-09-01119109910.3390/sym11091099sym11091099An Efficient Precoding Algorithm for mmWave Massive MIMO SystemsImran Khan0Shagufta Henna1Nasreen Anjum2Aduwati Sali3Jonathan Rodrigues4Yousaf Khan5Muhammad Irfan Khattak6Farhan Altaf7Department of Electrical Engineering, University of Engineering & Technology Peshawar, Peshawar 814 KPK, PakistanTelecommunications Softwares & Systems Group, Waterford Institute of Technology, Waterford X91, IrelandDepartment of Informatics, King’s College London, London WC2B 4BG, UKWireless and Photonics Networks Research Centre of Excellence, Department of Computer and Communication Systems Engineering, Universiti Putra Malaysia, Selangor 43400, MalaysiaSchool of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA 02139, USADepartment of Electrical Engineering, University of Engineering & Technology Peshawar, Peshawar 814 KPK, PakistanDepartment of Electrical Engineering, University of Engineering & Technology Peshawar, Peshawar 814 KPK, PakistanDepartment of Electrical Engineering, University of Engineering & Technology Peshawar, Peshawar 814 KPK, PakistanSymmetrical 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.https://www.mdpi.com/2073-8994/11/9/1099beamforming5Gmassive MIMOmmWave communicationsspectral efficiency |
| spellingShingle | Imran Khan Shagufta Henna Nasreen Anjum Aduwati Sali Jonathan Rodrigues Yousaf Khan Muhammad Irfan Khattak Farhan Altaf An Efficient Precoding Algorithm for mmWave Massive MIMO Systems Symmetry beamforming 5G massive MIMO mmWave communications spectral efficiency |
| title | An Efficient Precoding Algorithm for mmWave Massive MIMO Systems |
| title_full | An Efficient Precoding Algorithm for mmWave Massive MIMO Systems |
| title_fullStr | An Efficient Precoding Algorithm for mmWave Massive MIMO Systems |
| title_full_unstemmed | An Efficient Precoding Algorithm for mmWave Massive MIMO Systems |
| title_short | An Efficient Precoding Algorithm for mmWave Massive MIMO Systems |
| title_sort | efficient precoding algorithm for mmwave massive mimo systems |
| topic | beamforming 5G massive MIMO mmWave communications spectral efficiency |
| url | https://www.mdpi.com/2073-8994/11/9/1099 |
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