Please use this identifier to cite or link to this item: http://hdl.handle.net/10773/39184
Title: Hybrid precoding algorithm for millimeter-wave massive MIMO-NOMA systems
Author: Sur, Samarendra Nath
Kandar, Debdatta
Silva, Adão
Nguyen, Nhan Duc
Nandi, Sukumar
Do, Dinh-Thuan
Keywords: Hybrid precoder (HP)
Non-orthogonal multiple access (NOMA)
Massive MIMO (mMIMO)
Channel capacity
Energy efficiency
Computational complexity
Issue Date: 13-Jul-2022
Publisher: MDPI
Abstract: In this paper, the performance of the millimeter-wave (mmWave) massive multipleinput multiple-output (mMIMO) non-orthogonal multiple access (NOMA) systems is investigated under multiple user scenarios. The performance of the system has been analyzed in terms of spectral efficiency (SE), energy efficiency (EE), and computational complexity. In the case of the mMIMO system, the linear precoder with matrix inversion becomes less efficient due to its high computational complexity. Therefore, the design of a low-complex hybrid precoder (HP) is the main aim of this paper. Here, the authors have proposed a symmetric successive over-relaxation (SSOR) complex regularized zero-forcing (CRZF) linear precoder. Through simulation, this paper demonstrates that the proposed SSOR-CRZF-HP performs better than the conventional linear precoder with reduced complexity.
Peer review: yes
URI: http://hdl.handle.net/10773/39184
DOI: 10.3390/electronics11142198
ISSN: 2079-9292
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IT - Artigos

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