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

• Autorzy: Thurpati Sammaiah , Muthuchidambaranathan P.

Identyfikatory

DOI

10.24425/ijet.2022.141269

• Języki publikacji: EN

Abstrakty

EN

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.

Słowa kluczowe

EN

millimeter-wave; mmWave; SVD; GTD; hybrid precoding; massive MIMO

• Wydawca: Polish Academy of Sciences, Committee of Electronics and Telecommunication
• Czasopismo: International Journal of Electronics and Telecommunications
• Rocznik: 2022
• Tom: Vol. 68. No. 3
• Strony: 519--525
• Opis fizyczny: Bibliogr. 22 poz., schem., tab., wykr.

Twórcy

autor

Thurpati Sammaiah

• Department of Electronics and Communication Engineering, National Institute of Technology, Tiruchirappalli, India

autor

Muthuchidambaranathan P.

• Department of Electronics and Communication Engineering, National Institute of Technology, Tiruchirappalli, India

Bibliografia

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Uwagi

Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).