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Fractional Fourier Domain PAPR Reduction

Yewen Cao, Yulin Shao, Rose Qingyang Hu

Abstract

High peak-to-average power ratio (PAPR) has long posed a challenge for multi-carrier systems, impacting amplifier efficiency and overall system performance. This paper introduces dynamic angle fractional Fourier division multiplexing (DA-FrFDM), an innovative multi-carrier system that effectively reduces PAPR for both QAM and Gaussian signals with minimal signaling overhead. DA-FrFDM leverages the fractional Fourier domain to balance PAPR characteristics between the time and frequency domains, achieving significant PAPR reduction while preserving signal quality. Furthermore, DA-FrFDM refines signal processing and enables one-tap equalization in the fractional Fourier domain through the simple multiplication of time-domain signals by a quadratic phase sequence. Our results show that DA-FrFDM not only outperforms existing PAPR reduction techniques but also retains efficient inter-carrier interference (ICI) mitigation capabilities in doubly dispersive channels.

Fractional Fourier Domain PAPR Reduction

Abstract

High peak-to-average power ratio (PAPR) has long posed a challenge for multi-carrier systems, impacting amplifier efficiency and overall system performance. This paper introduces dynamic angle fractional Fourier division multiplexing (DA-FrFDM), an innovative multi-carrier system that effectively reduces PAPR for both QAM and Gaussian signals with minimal signaling overhead. DA-FrFDM leverages the fractional Fourier domain to balance PAPR characteristics between the time and frequency domains, achieving significant PAPR reduction while preserving signal quality. Furthermore, DA-FrFDM refines signal processing and enables one-tap equalization in the fractional Fourier domain through the simple multiplication of time-domain signals by a quadratic phase sequence. Our results show that DA-FrFDM not only outperforms existing PAPR reduction techniques but also retains efficient inter-carrier interference (ICI) mitigation capabilities in doubly dispersive channels.

Paper Structure

This paper contains 11 sections, 4 theorems, 39 equations, 4 figures, 1 table, 1 algorithm.

Key Result

Lemma 1

The PAPR of DA-FrFDM can be refined as

Figures (4)

  • Figure 1: The structural framework of DA-FrFDM.
  • Figure 2: CCDF of PAPR with different PAPR reduction techniques: (a) PAPR reduction for complex Gaussian signals; (b) PAPR reduction for 64QAM; (c) PAPR reduction for 128QAM.
  • Figure 3: Decoding performance with different PAPR reduction techniques: (a) MSE of complex Gaussian signals; (b) BER of 64QAM signals; (c) BER of 128QAM signals.
  • Figure 4: Trade-off between PAPR and $P_{ICI}$ in doubly dispersive channels.

Theorems & Definitions (12)

  • Remark 1
  • Definition 1
  • Lemma 1
  • proof
  • Theorem 2
  • proof
  • Theorem 3
  • proof
  • Theorem 4: Circular Convolution for DA-FrFDM
  • proof
  • ...and 2 more