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| Hlavní autor: | |
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| Médium: | Recurso digital |
| Jazyk: | |
| Vydáno: |
Zenodo
2025
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| On-line přístup: | https://doi.org/10.5281/zenodo.15699577 |
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- <p>This paper presents an efficient companding approach for reducing the Peak-to-Average Power Ratio<br>(PAPR) in massive MIMO systems, a critical issue in modern wireless communication networks. As the<br>number of antennas in massive MIMO increases, the potential for high PAPR also rises, leading to<br>inefficiencies in power amplifier performance, signal distortion, and higher power consumption. The<br>proposed companding technique aims to mitigate this problem by compressing the dynamic range of the<br>transmitted signal, reducing its peak power while maintaining acceptable signal quality. The method uses<br>a linear companding strategy to optimize PAPR reduction without introducing significant complexity or<br>degradation in performance. Through extensive simulations, the effectiveness of the approach is<br>demonstrated, showing a significant reduction in PAPR, improved power efficiency, and enhanced system<br>performance in terms of signal-to-noise ratio (SNR) and bit error rate (BER). The results indicate that the<br>proposed companding method can effectively address the PAPR challenges in massive MIMO systems,<br>making it a promising solution for next-generation communication technologies, such as 5G and beyond.<br>This approach not only improves the power amplifier efficiency but also contributes to the overall<br>performance of wireless networks by enhancing the power efficiency, reliability, and scalability of<br>massive MIMO systems. </p>