Chen, X, Gautam, PR and Zhang, L orcid.org/0000-0002-4535-3200 Low Complexity Hybrid Precoding Algorithm for THz Ultra-massive MIMO Systems. In: 6G Wireless Foundations Forum, 10-11 Jul 2023, Sophia Antipolis, France. (In Press)
Abstract
The hybrid precoding problem in point-to-point TeraHertz (THz) multiple-input multiple-output (MIMO) systems can be solved by minimizing the Frobenius norm between the digital precoder and the hybrid precoder. To achieve this, we developed an alternating minimization algorithm, the MBCD-HP for mmWave massive MIMO systems. However, the complexity can be very high when the number of antennas increases, as required in THz transmission. In this paper, we improve MBCD-HP algorithm by utilizing the structural properties of the optimization matrix. The simulation results demonstrate that the proposed method significantly reduces the computational complexity and improves the performance.
Metadata
Authors/Creators: |
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Copyright, Publisher and Additional Information: | This item is protected by copyright. This is an author produced version of a conference poster originally presented at 6G Wireless Foundations Forum, France, 10-11 July 2023. |
Keywords: | TeraHertz MIMO; hybrid precoding; trace optimization; alternating minimization; block coordinate descent. |
Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Electronic & Electrical Engineering (Leeds) > Institute of Communication & Power Networks (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 31 May 2023 10:13 |
Last Modified: | 02 Jun 2023 07:53 |
Status: | In Press |
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