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| Format: | Recurso digital |
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2025
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| Accès en ligne: | https://doi.org/10.5281/zenodo.15699577 |
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| _version_ | 1866902151962296320 |
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| author | Ajeet Kumar Singh, Prof. Dr.Pankaj Kumar Sharma |
| author_facet | Ajeet Kumar Singh, Prof. Dr.Pankaj Kumar Sharma |
| contents | <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> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_15699577 |
| institution | Zenodo |
| language | |
| publishDate | 2025 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | An Efficient Companding Approach for PAPR Reduction in Massive MIMO Systems Ajeet Kumar Singh, Prof. Dr.Pankaj Kumar Sharma <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> |
| title | An Efficient Companding Approach for PAPR Reduction in Massive MIMO Systems |
| url | https://doi.org/10.5281/zenodo.15699577 |