Sparsity-Learning-Based Iterative Compensation for Filtered-OFDM With Clipping

Jiang, Wen-jun; Kuai, Xiaoyan; Yuan, Xiaojun; Liu, Wei; Song, Zhiqun

doi:10.1109/lcomm.2020.3011680

Cited by 8 publications

(5 citation statements)

References 14 publications

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“…In particular, we introduce a new analytical model of OFDM systems with CAF suitable for analyzing time-domain distortion compensation approach, and theoretically derive a closed-form upper bound on its achievable signal-to-noise plus distortion ratio (SNDR). Recent studies on clipping recovery techniques for OFDM include those based on compressed sensing [14]- [17], which may offer a better trade-off in terms of complexity and achievable performance compared to the pioneering work [11], [12]. Our results may also serve as performance bounds for these schemes depending on whether the compensation is performed based on TD or FD model.…”

Section: Introductionmentioning

confidence: 83%

Performance Analysis and Comparison of Clipped and Filtered OFDM Systems With Iterative Distortion Recovery Techniques

Sun

Ochiai

2021

IEEE Trans. Wireless Commun.

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A well-known drawback of orthogonal frequencydivision multiplexing (OFDM) is its signal with high peakto-average power ratio (PAPR). Among a number of PAPR reduction techniques, clipping and filtering (CAF) is the simplest approach, which effectively reduces the PAPR of band-limited OFDM signals at the cost of increasing in-band distortion. In order to mitigate the performance degradation caused by the inband distortion, several iterative distortion recovery techniques have been proposed in the literature, and they are largely classified into time-domain (TD) and frequency-domain (FD) compensation approaches: The former and latter are represented by the decision-aided reconstruction (DAR) and clipping noise cancellation (CNC), respectively. To date, however, their theoretical performance limits have not been studied. In this work, we revisit the performance limits of CAF and derive a closed-form signal-to-distortion power ratio (SDR) expression. Furthermore, we introduce a time-domain distortion model for characterizing the OFDM signal with CAF, based on which we make performance comparison between the two compensation approaches. Theoretical analysis and simulations in terms of their achievable symbol error rate (SER) reveal that, unlike the FD counterpart, the TD compensation may suffer from unrecoverable distortion when filtering after clipping is applied at the transmitter.

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Section: Introductionmentioning

confidence: 83%

Performance Analysis and Comparison of Clipped and Filtered OFDM Systems With Iterative Distortion Recovery Techniques

Sun

Ochiai

2021

IEEE Trans. Wireless Commun.

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“…However, most of these techniques have shortcomings, such as poor system performance (bit error rate [BER]) and/or computational complexity. Well-known examples are distortionless schemes (e.g., SLM and PTS families) [2][3][4][5][6][7], clipping and filtering schemes [8,9], tone injection (TI) [10], active constellation extension (ACE) [11], interleaving [12], encoding family schemes [13], and artificial intelligent families [13][14][15][16][17][18]. Unfortunately, none of these solutions can guarantee the achievement of all standards, that is, acceptable levels of PAPR, BER performance, and computational complexity.…”

Section: Introductionmentioning

confidence: 99%

“…However, a PAPR decompression module was required at the receiver to reconstruct the transmitted signal. Moreover, Jiang and others [9] proposed a sparsity-learning-based iterative algorithm for PAPR reduction to compensate for the distortion of clipped signals. Likewise, a deep neural network (DNN) architecture was provided by Vahdat to reduce the PAPR in autoencoder-based communication systems, and others in [13].…”

Section: Introductionmentioning

confidence: 99%

A conditionally applied neural network algorithm for PAPR reduction without the use of a recovery process

Eldukhri,

Al‐Rayif

2023

ETRI Journal

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This study proposes a novel, conditionally applied neural network technique to reduce the overall peak‐to‐average power ratio (PAPR) of an orthogonal frequency division multiplexing (OFDM) system while maintaining an acceptable bit error rate (BER) level. The main purpose of the proposed scheme is to adjust only those subcarriers whose peaks exceed a given threshold. In this respect, the developed C‐ANN algorithm suppresses only the peaks of the targeted subcarriers by slightly shifting the locations of their corresponding frequency samples without affecting their phase orientations. In turn, this achieves a reasonable system performance by sustaining a tolerable BER. For practical reasons and to cover a wide range of application scenarios, the threshold for the subcarrier peaks was chosen to be proportional to the saturation level of the nonlinear power amplifier used to pass the generated OFDM blocks. Consequently, the optimal values of the factor controlling the peak threshold were obtained that satisfy both reasonable PAPR reduction and acceptable BER levels. Furthermore, the proposed system does not require a recovery process at the receiver, thus making the computational process less complex. The simulation results show that the proposed system model performed satisfactorily, attaining both low PAPR and BER for specific application settings using comparatively fewer computations.

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“…In [5], the author proposed the Hadamard recursive carrier interferometry (HRCI) codes and diagonal recursive carrier interferometry (DRCI) codes to suppress the PAPR under OFDM systems. Jiang in [6] provided the Iterative Compensation algorithm to PAPR suppression. In order to reduce the complexity, Cheng in [7] proposed C-DSLM algorithm.…”

Section: Introductionmentioning

confidence: 99%

“…In order to reduce the complexity, Cheng in [7] proposed C-DSLM algorithm. It can be observed, from the studies recently [5][6][7], the communication scheme is still the DFT based OFDM system. However, the PAPR of DFT for wireless signals will be prohibitively high .…”

Section: Introductionmentioning

confidence: 99%

Three Term Weighted Type Fractional Fourier Transform Based Generalized Hybrid Carrier and Its Application into PAPR Suppression

Song

Sun

et al. 2021

Proceedings of CECNet 2021

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To suppress the peak to average power ratio (PAPR) of wireless communication based upon multi-carrier system. We, in this paper, proposed the three term weighted type fractional Fourier transform (3-WFRFT) based generalized hybrid carrier (GHC) system. We first provide the definition of 3-WFRFT. Moreover, some useful properties of 3-WFRFT have been presented, in this paper, which will helpful to comprehend the novel 3-WFRFT transform. Furthermore, we take PAPR of the proposed algorithm, in comparison with orthogonal frequency division multiplexing (OFDM) system and single carrier modulation (SC) system under typical complementary cumulative density function (CCDF) level. It would be demonstrated that, from some numerical simulations, the proposed 3-WFRFT based GHC performs better than OFDM system and will be useful to reduce the PAPR level.

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Sparsity-Learning-Based Iterative Compensation for Filtered-OFDM With Clipping

Cited by 8 publications

References 14 publications

Performance Analysis and Comparison of Clipped and Filtered OFDM Systems With Iterative Distortion Recovery Techniques

Performance Analysis and Comparison of Clipped and Filtered OFDM Systems With Iterative Distortion Recovery Techniques

A conditionally applied neural network algorithm for PAPR reduction without the use of a recovery process

Three Term Weighted Type Fractional Fourier Transform Based Generalized Hybrid Carrier and Its Application into PAPR Suppression

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