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In order to concurrently mitigate the peak-to-average power ratio (PAPR) and enhance the bit error ratio (BER) performance, this paper studies a novel PAPR reduction approach for generalized frequency division multiplexing (GFDM) systems, which integrates low-density parity-check (LDPC) encoding with a mean-aid nonlinear companding transformation. Within this approach, GFDM signals encoded with LDPC are compressed in accordance with the signal's average amplitude at the transmitter. Subsequently, signal decompression and data recovery are realized at the receiver based on a channel estimation module. The proposed approach improves transmission performance under conditions of nonlinear predistortion. Additionally, simulations have been carried out to evaluate the PAPR reduction performance under diverse conditions, as well as the transmission BER performance of the proposed approach. The results indicate that when the companding factor is set to 2 and the complementary cumulative distribution function (CCDF) equals 10–2, the PAPR performance gain of the GFDM signal using the proposed approach is increased by 5.27 dB compared to the original GFDM signal. At the soft decision and hard decision BER thresholds, the GFDM signal employing the proposed approach, achieves respective improvements of 2.4 dB and 4.3 dB in optical signal-to-noise ratio (OSNR), compared to the original GFDM signal. When compared to the GFDM-LDPC signal, the proposed approach obtains respective gains of 0.62 dBm and 0.08 dBm in transmitted optical power (TOP).

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Research on a Hybrid Approach for PAPR Reduction in GFDM Systems

  • 会议论文

  • 发表日期：

    2026年

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  • Xiangyu Liu,
  • Junjun Gao,
  • Xinyan Zhang,
  • Liang Yan,
  • Yi Zhao,
  • Junqing Wu,
  • Xiaofang Hu,
  • Xiujuan Qin,
  • Jing Xu,
  • Ge Wu,
  • Qi Zhang

摘要

In order to concurrently mitigate the peak-to-average power ratio (PAPR) and enhance the bit error ratio (BER) performance, this paper studies a novel PAPR reduction approach for generalized frequency division multiplexing (GFDM) systems, which integrates low-density parity-check (LDPC) encoding with a mean-aid nonlinear companding transformation. Within this approach, GFDM signals encoded with LDPC are compressed in accordance with the signal's average amplitude at the transmitter. Subsequently, signal decompression and data recovery are realized at the receiver based on a channel estimation module. The proposed approach improves transmission performance under conditions of nonlinear predistortion. Additionally, simulations have been carried out to evaluate the PAPR reduction performance under diverse conditions, as well as the transmission BER performance of the proposed approach. The results indicate that when the companding factor is set to 2 and the complementary cumulative distribution function (CCDF) equals 10–2, the PAPR performance gain of the GFDM signal using the proposed approach is increased by 5.27 dB compared to the original GFDM signal. At the soft decision and hard decision BER thresholds, the GFDM signal employing the proposed approach, achieves respective improvements of 2.4 dB and 4.3 dB in optical signal-to-noise ratio (OSNR), compared to the original GFDM signal. When compared to the GFDM-LDPC signal, the proposed approach obtains respective gains of 0.62 dBm and 0.08 dBm in transmitted optical power (TOP).