Design of Hybrid Precoder for mm-Wave MIMO System Based on Generalized Triangular Decomposition Method

Hybrid precoding techniques are lately involved a lot of interest for millimeter-wave (mmWave) massive MIMO systems is due to the cost and power consumption advantages they provide. However, existing hybrid precoding based on the singular value decomposition (SVD) necessitates a difficult bit alloca...

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Veröffentlicht in:International Journal of Electronics and Telecommunications Jg. 68; H. 3; S. 519 - 525
Hauptverfasser: Thurpati, Sammaiah, Muthuchidambaranathan, P.
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Warsaw Polish Academy of Sciences 01.01.2022
Schlagworte:
Algorithms
Complexity
Decomposition
gtd
hybrid precoding
massive mimo
Millimeter waves
millimeter-wave (mmwave)
MIMO communication
Power consumption
Signal to noise ratio
Singular value decomposition
svd
ISSN:2300-1933, 2081-8491, 2300-1933
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Zusammenfassung:Hybrid precoding techniques are lately involved a lot of interest for millimeter-wave (mmWave) massive MIMO systems is due to the cost and power consumption advantages they provide. However, existing hybrid precoding based on the singular value decomposition (SVD) necessitates a difficult bit allocation to fit the varying signal-to-noise ratios (SNRs) of altered sub-channels. In this paper, we propose a generalized triangular decomposition (GTD)-based hybrid precoding to avoid the complicated bit allocation. The development of analog and digital precoders is the reason for the high level of design complexity in analog precoder architecture, which is based on the OMP algorithm, is very non-convex, and so has a high level of complexity. As a result, we suggest using the GTD method to construct hybrid precoding for mmWave mMIMO systems. Simulated studies as various system configurations are used to examine the proposed design. In addition, the archived findings are compared to a hybrid precoding approach in the classic OMP algorithm. The proposed Matrix Decomposition’s simulation results of signal-to-noise ratio vs spectral efficiencies.
Bibliographie:ObjectType-Article-1
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ISSN:2300-1933
2081-8491
2300-1933
DOI:10.24425/ijet.2022.141269