Chen, Z;
Tang, J;
Tang, H;
Zhang, X;
Chun So, DK;
Zhao, N;
Wong, KK;
(2022)
Hybrid Beamforming Optimization for UAV-Enabled mmWave Beamspace MIMO System.
In:
2021 IEEE 21st International Conference on Communication Technology (ICCT).
(pp. pp. 638-643).
IEEE
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Abstract
The combination of unmanned aerial vehicles (UAVs) and millimeter wave (mmWave) multiple-input multiple-out (MIMO) systems is considered as a key enabling technology for 5G networks, as it provides high data rate aerial links. However, establishing UAV-enabled mmWave MIMO communication is challenging duo to the high hardware cost in terms of radio frequency (RF) chains. As explored in this work, the joint optimization of the UAV's altitude and hybrid beamspace precoding is proposed for the UAV-enabled multiuser MIMO system, in which the discrete lens arrays (DLA) is exploited to decrease the amount of the RF chain. In the proposed scheme, the optimization problem is formulated as a minimum weighted mean squared error (MWMSE) method. Then an efficient algorithm with the penalty dual decomposition is proposed to optimize the altitude of UAV, selection of the beam and the method of digital precoding jointly. Simulation results confirm the superior performance of the explored scheme and perform close to full-digital beamforming in terms of achievable spectral efficiency.
Type: | Proceedings paper |
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Title: | Hybrid Beamforming Optimization for UAV-Enabled mmWave Beamspace MIMO System |
Event: | 2021 IEEE 21st International Conference on Communication Technology (ICCT) |
Dates: | 13 Oct 2021 - 16 Oct 2021 |
ISBN-13: | 9781665432061 |
Open access status: | An open access version is available from UCL Discovery |
DOI: | 10.1109/ICCT52962.2021.9658041 |
Publisher version: | https://doi.org/10.1109/ICCT52962.2021.9658041 |
Language: | English |
Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
Keywords: | UAV, mmWave communication, MIMO, hybrid beamspace precoding, lens antenna arrays |
UCL classification: | UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Electronic and Electrical Eng UCL > Provost and Vice Provost Offices > UCL BEAMS UCL |
URI: | https://discovery.ucl.ac.uk/id/eprint/10144664 |



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