Evaluation of PAPR reduction based on block interleaving method in presence of nonlinear PA model with memory

Aimer, Younes; Bouazza, Boubakar Seddik; Bachir, Smaïl; Duvanaud, Claude

doi:10.1109/ict.2018.8464827

Cited by 3 publications

(2 citation statements)

References 9 publications

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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%

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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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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“…Several PAPR reduction methods are introduced, such as clipping [ 4 ], Partial Transmit Sequence (PTS) [ 5 ], Selective Mapping (SLM) [ 6 ], Interleaving [ 7 ], Active Constellation Extension (ACE) [ 8 ], Tone Reservation (TR) [ 9 ], Tone Injection (TI) [ 9 ], companding techniques [ 10 ], and precoding techniques [ 11 ]. There are mainly three categories for PAPR reduction techniques: (i) coding techniques, (ii) Multiple Signal Representation (MSR) techniques, and (iii) adding-signal techniques [ 12 ].…”

Section: Introductionmentioning

confidence: 99%

A Novel Hybrid Precoding-Companding Technique for Peak-to-Average Power Ratio Reduction in 5G and beyond

Mounir

Mashade

Berra

et al. 2021

Sensors

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Several high-speed wireless systems use Orthogonal Frequency Division Multiplexing (OFDM) due to its advantages. 5G has adopted OFDM and is expected to be considered beyond 5G (B5G). Meanwhile, OFDM has a high Peak-to-Average Power Ratio (PAPR) problem. Hybridization between two PAPR reduction techniques gains the two techniques’ advantages. Hybrid precoding-companding techniques are attractive as they require small computational complexity to achieve high PAPR reduction gain. Many precoding-companding techniques were introduced to increasing the PAPR reduction gain. However, reducing Bit Error Rate (BER) and out-of-band (OOB) radiation are more significant than increasing PAPR reduction gain. This paper proposes a new precoding-companding technique to better reduce the BER and OOB radiation than previous precoding-companding techniques. Results showed that the proposed technique outperforms all previous precoding-companding techniques in BER enhancement and OOB radiation reduction. The proposed technique reduces the Error Vector Magnitude (EVM) by 15 dB compared with 10 dB for the best previous technique. Additionally, the proposed technique increases high power amplifier efficiency (HPA) by 11.4%, while the best previous technique increased HPA efficiency by 9.8%. Moreover, our proposal achieves PAPR reduction gain better than the most known powerful PAPR reduction technique with a 99% reduction in required computational complexity.

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Simplified ICF and smart MIR for PAPR reduction in OFDM systems

Du,

Xue,

Song

et al. 2025

Signal Processing

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Evaluation of PAPR reduction based on block interleaving method in presence of nonlinear PA model with memory

Cited by 3 publications

References 9 publications

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

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

A Novel Hybrid Precoding-Companding Technique for Peak-to-Average Power Ratio Reduction in 5G and beyond

Simplified ICF and smart MIR for PAPR reduction in OFDM systems

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