Enhancing PAPR in OFDM System Using Polar Codes and μ-Law Companding with Adaptive Modulation and Coding Rates

Brahim Bakkas, Hassan Silkhi, Idriss Chana, H. Ben-Azza
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Abstract

Orthogonal Frequency Division Multiplexing (OFDM) is a widely used modulation technique, but it has a high Peak-to-Average Power Ratio (PAPR), which can cause problems for power amplifiers. To address this challenge, a new algorithm is proposed that incorporates Polar codes and μ-law companding. The algorithm is shown to significantly reduce PAPR and Bit Error Rate (BER) with Quadrature Amplitude Modulation (QAM) and two coding rates, 1/2 and 5/6. The proposed method is also flexible and adaptive, allowing for changes in modulation schemes, coding rates, and μ-law values. Further research will explore the use of an Auto Encoder (AE) network system to optimize these parameters.
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利用自适应调制和编码率的极性编码和 μ-Law 压缩增强 OFDM 系统的 PAPR
正交频分复用(OFDM)是一种广泛使用的调制技术,但它的峰均功率比(PAPR)很高,会给功率放大器带来问题。为了应对这一挑战,我们提出了一种结合极性编码和μ-律压缩的新算法。研究表明,该算法在使用正交振幅调制(QAM)和两种编码率(1/2 和 5/6)时,能显著降低 PAPR 和比特误码率(BER)。所提出的方法还具有灵活性和自适应性,允许改变调制方案、编码率和μ-律值。进一步的研究将探索使用自动编码器(AE)网络系统来优化这些参数。
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