Wireless Communication based PAPR Reduction in MIMO-OFDM
In order to increase the efficiency of spectrum usage, MIMO-OFDM and OFDM are commonly utilized in wireless systems and high-data-rate communications. It is difficult to lower the Peak-to-Average Power Ratio (PAPR) with MIMO-OFDM. This study has proposed a new approach for PAPR reduction in MIMO-OFD...
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Published in | 2024 8th International Conference on Inventive Systems and Control (ICISC) pp. 588 - 595 |
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Main Authors | , , |
Format | Conference Proceeding |
Language | English |
Published |
IEEE
29.07.2024
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Subjects | |
Online Access | Get full text |
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Summary: | In order to increase the efficiency of spectrum usage, MIMO-OFDM and OFDM are commonly utilized in wireless systems and high-data-rate communications. It is difficult to lower the Peak-to-Average Power Ratio (PAPR) with MIMO-OFDM. This study has proposed a new approach for PAPR reduction in MIMO-OFDM called Adaptive Tunicate Swarm Optimization with Partial Transmit Sequence (ATSO-PTS). For encoding and decoding in MIMO-OFDM, this study utilizes the No square-matrix-based Differential Space Time Coding (NDSTC) scheme. MIMO-OFDM is a type of linear error-correcting code utilized for transmission over noisy channels. For modulation and demodulation, this study employs pre-specified Quadrature Phase Shift Keying (QPSK) symbols. On the receiving end, it has executed Fast Fourier Transform (FFT) and serial to parallel (S/P) conversion, after which it has demodulated to extract the output bits. With performance measures like PAPR, BER, and SNR values of roughly 2.9,0.01, and 0.025, respectively, the proposed ATSO-PTS method outperforms other approaches like TSHO-PTS, SLM-PTS, and PS-GWPTS. |
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DOI: | 10.1109/ICISC62624.2024.00103 |