Optimizing Power Efficiency in Massive MIMO Systems: A Companding-Based Approach for PAPR Reduction
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Abstract
This paper proposes an efficient companding-based approach to reduce Peak-to-Average Power Ratio (PAPR) in massive MIMO systems, aiming to optimize power efficiency and enhance overall system performance. High PAPR in MIMO systems, particularly those with a large number of antennas, leads to inefficiencies in power amplifier operation, increasing energy consumption and signal distortion. The proposed method uses a linear companding technique to compress the dynamic range of the transmitted signal, reducing the peak power without compromising the signal integrity. By applying this approach to massive MIMO systems, significant improvements in power amplifier efficiency are achieved, mitigating the adverse effects of high PAPR. The performance of the proposed technique is evaluated through simulations, demonstrating notable reductions in PAPR, improved Signal-to-Noise Ratio (SNR), and a lower Bit Error Rate (BER) when compared to traditional methods. Additionally, the approach is shown to enhance the overall system power efficiency, making it a promising solution for the next generation of wireless networks, particularly in 5G and beyond. This study emphasizes the role of companding in optimizing power efficiency and provides a practical approach for mitigating PAPR issues in large-scale MIMO systems, contributing to the development of more energy-efficient and high-performance communication technologies.
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