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Hybrid Precoder Design Based on mm-Wave MIMO System with GMD Method

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Abstract

Hybrid Precoding widely used in millimeter-wave massive Multi Input Multi Output systems to reduce the number of radio frequency (RF) chains. Nevertheless, the conventional hybrid precoding (HP) strategy, which uses a singular value decomposition (SVD) method, requires complicated bit assignment in order to balance the signal-to-noise ratio of numerous sub-channels. This approach leads to a significant amount of coding and decoding complexity in practical systems. A new decomposition technique called Geometric mean decomposition hybrid precoding (GMDHP) is used to get around the difficult bit allocation procedure in singular value decomposition based hybrid precoding (SVD-HP).Bit assignment becomes simpler because all sub channels in Geometric Mean Decomposition Based Hybrid Precoding have equal SNRs. In terms of bit allocation, Geometric Mean Decomposition Based Hybrid Precoding is still more difficult than Singular Value Decomposition Based Precoding, but the design complexity is reduced. The development of analog and digital precoders is accountable for this elevated level of design complexity. The orthogonal matching pursuit (OMP) method is the foundation of the analogue precoder architecture, which is very non-convex in nature. This research proposed two different precoding methods, SVD-HP and GMD-HP, and evaluated their performance against spatially sparse precoding and analogue beam steering.The simulation results of SNR vs. SE for the proposed Matrix Decomposition-based precoding approaches are compared.

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  1. Electronics and Communication Engineering, National Institute of Technology, Tiruchirappalli, Tamilnadu, 620015, India

    Sammaiah Thurpati & P. Muthuchidambaranathan

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  1. Sammaiah Thurpati
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  2. P. Muthuchidambaranathan
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Correspondence to Sammaiah Thurpati.

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Thurpati, S., Muthuchidambaranathan, P. Hybrid Precoder Design Based on mm-Wave MIMO System with GMD Method. Wireless Pers Commun 129, 2891–2907 (2023). https://doi.org/10.1007/s11277-023-10263-0

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