Dynamic Hybrid Beamforming-Based HAP Massive MIMO with Statistical CSI
In this letter, we study the dynamic antenna grouping and the hybrid beamforming for high altitude platform (HAP) massive multiple-input multiple-output (MIMO) systems. We first exploit the fact that the ergodic sum rate is only related to statistical channel state information (SCSI) in the large-sc...
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| Veröffentlicht in: | IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences Communications and Computer Sciences, 2024/08/01, Vol.E107.A(8), pp.1417-1420 |
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| container_title | IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences |
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| creator | JI, Pingping JIANG, Lingge HE, Chen HE, Di LIAN, Zhuxian |
| description | In this letter, we study the dynamic antenna grouping and the hybrid beamforming for high altitude platform (HAP) massive multiple-input multiple-output (MIMO) systems. We first exploit the fact that the ergodic sum rate is only related to statistical channel state information (SCSI) in the large-scale array regime, and then we utilize it to perform the dynamic antenna grouping and design the RF beamformer. By applying the Gershgorin Circle Theorem, the dynamic antenna grouping is realized based on the novel statistical distance metric instead of the value of the instantaneous channels. The RF beamformer is designed according to the singular value decomposition of the statistical correlation matrix according to the obtained dynamic antenna group. Dynamic subarrays mean each RF chain is linked with a dynamic antenna sub-set. The baseband beamformer is derived by utilizing the zero forcing (ZF). Numerical results demonstrate the performance enhancement of our proposed dynamic hybrid precoding (DHP) algorithm. |
| doi_str_mv | 10.1587/transfun.2023EAL2082 |
| format | Article |
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Fundamentals</addtitle><description>In this letter, we study the dynamic antenna grouping and the hybrid beamforming for high altitude platform (HAP) massive multiple-input multiple-output (MIMO) systems. We first exploit the fact that the ergodic sum rate is only related to statistical channel state information (SCSI) in the large-scale array regime, and then we utilize it to perform the dynamic antenna grouping and design the RF beamformer. By applying the Gershgorin Circle Theorem, the dynamic antenna grouping is realized based on the novel statistical distance metric instead of the value of the instantaneous channels. The RF beamformer is designed according to the singular value decomposition of the statistical correlation matrix according to the obtained dynamic antenna group. Dynamic subarrays mean each RF chain is linked with a dynamic antenna sub-set. The baseband beamformer is derived by utilizing the zero forcing (ZF). 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Fundamentals</addtitle><date>2024-08-01</date><risdate>2024</risdate><volume>E107.A</volume><issue>8</issue><spage>1417</spage><epage>1420</epage><pages>1417-1420</pages><artnum>2023EAL2082</artnum><issn>0916-8508</issn><eissn>1745-1337</eissn><abstract>In this letter, we study the dynamic antenna grouping and the hybrid beamforming for high altitude platform (HAP) massive multiple-input multiple-output (MIMO) systems. We first exploit the fact that the ergodic sum rate is only related to statistical channel state information (SCSI) in the large-scale array regime, and then we utilize it to perform the dynamic antenna grouping and design the RF beamformer. By applying the Gershgorin Circle Theorem, the dynamic antenna grouping is realized based on the novel statistical distance metric instead of the value of the instantaneous channels. 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| source | J-STAGE |
| subjects | Algorithms Antenna arrays Antenna design Antennas Beamforming Correlation analysis dynamic connection High altitude high altitude platform hybrid beamforming large-scale antenna array MIMO communication Singular value decomposition Statistical correlation statistical CSI |
| title | Dynamic Hybrid Beamforming-Based HAP Massive MIMO with Statistical CSI |
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