Low-Complexity Transmit Antenna Selection and Beamforming for Large-Scale MIMO Communications
Transmit antenna selection plays an important role in large-scale multiple-input multiple-output (MIMO) communications, but optimal large-scale MIMO antenna selection is a technical challenge. Exhaustive search is often employed in antenna selection, but it cannot be efficiently implemented in large...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Wiley
2014-01-01
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| Series: | International Journal of Antennas and Propagation |
| Online Access: | http://dx.doi.org/10.1155/2014/159375 |
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| _version_ | 1832558940271935488 |
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| author | Kun Qian Wen-Qin Wang Huaizong Shao |
| author_facet | Kun Qian Wen-Qin Wang Huaizong Shao |
| author_sort | Kun Qian |
| collection | DOAJ |
| description | Transmit antenna selection plays an important role in large-scale multiple-input multiple-output (MIMO) communications, but optimal large-scale MIMO antenna selection is a technical challenge. Exhaustive search is often employed in antenna selection, but it cannot be efficiently implemented in large-scale MIMO communication systems due to its prohibitive high computation complexity. This paper proposes a low-complexity interactive multiple-parameter optimization method for joint transmit antenna selection and beamforming in large-scale MIMO communication systems. The objective is to jointly maximize the channel outrage capacity and signal-to-noise (SNR) performance and minimize the mean square error in transmit antenna selection and minimum variance distortionless response (MVDR) beamforming without exhaustive search. The effectiveness of all the proposed methods is verified by extensive simulation results. It is shown that the required antenna selection processing time of the proposed method does not increase along with the increase of selected antennas, but the computation complexity of conventional exhaustive search method will significantly increase when large-scale antennas are employed in the system. This is particularly useful in antenna selection for large-scale MIMO communication systems. |
| format | Article |
| id | doaj-art-77d8c9e1ae7f4b699ac03d547f207863 |
| institution | Kabale University |
| issn | 1687-5869 1687-5877 |
| language | English |
| publishDate | 2014-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Antennas and Propagation |
| spelling | doaj-art-77d8c9e1ae7f4b699ac03d547f2078632025-02-03T01:31:13ZengWileyInternational Journal of Antennas and Propagation1687-58691687-58772014-01-01201410.1155/2014/159375159375Low-Complexity Transmit Antenna Selection and Beamforming for Large-Scale MIMO CommunicationsKun Qian0Wen-Qin Wang1Huaizong Shao2School of Communication and Information Engineering, University of Electronic Science and Technology of China, Chengdu, Sichuan 611731, ChinaSchool of Communication and Information Engineering, University of Electronic Science and Technology of China, Chengdu, Sichuan 611731, ChinaSchool of Communication and Information Engineering, University of Electronic Science and Technology of China, Chengdu, Sichuan 611731, ChinaTransmit antenna selection plays an important role in large-scale multiple-input multiple-output (MIMO) communications, but optimal large-scale MIMO antenna selection is a technical challenge. Exhaustive search is often employed in antenna selection, but it cannot be efficiently implemented in large-scale MIMO communication systems due to its prohibitive high computation complexity. This paper proposes a low-complexity interactive multiple-parameter optimization method for joint transmit antenna selection and beamforming in large-scale MIMO communication systems. The objective is to jointly maximize the channel outrage capacity and signal-to-noise (SNR) performance and minimize the mean square error in transmit antenna selection and minimum variance distortionless response (MVDR) beamforming without exhaustive search. The effectiveness of all the proposed methods is verified by extensive simulation results. It is shown that the required antenna selection processing time of the proposed method does not increase along with the increase of selected antennas, but the computation complexity of conventional exhaustive search method will significantly increase when large-scale antennas are employed in the system. This is particularly useful in antenna selection for large-scale MIMO communication systems.http://dx.doi.org/10.1155/2014/159375 |
| spellingShingle | Kun Qian Wen-Qin Wang Huaizong Shao Low-Complexity Transmit Antenna Selection and Beamforming for Large-Scale MIMO Communications International Journal of Antennas and Propagation |
| title | Low-Complexity Transmit Antenna Selection and Beamforming for Large-Scale MIMO Communications |
| title_full | Low-Complexity Transmit Antenna Selection and Beamforming for Large-Scale MIMO Communications |
| title_fullStr | Low-Complexity Transmit Antenna Selection and Beamforming for Large-Scale MIMO Communications |
| title_full_unstemmed | Low-Complexity Transmit Antenna Selection and Beamforming for Large-Scale MIMO Communications |
| title_short | Low-Complexity Transmit Antenna Selection and Beamforming for Large-Scale MIMO Communications |
| title_sort | low complexity transmit antenna selection and beamforming for large scale mimo communications |
| url | http://dx.doi.org/10.1155/2014/159375 |
| work_keys_str_mv | AT kunqian lowcomplexitytransmitantennaselectionandbeamformingforlargescalemimocommunications AT wenqinwang lowcomplexitytransmitantennaselectionandbeamformingforlargescalemimocommunications AT huaizongshao lowcomplexitytransmitantennaselectionandbeamformingforlargescalemimocommunications |