Jan 9, 2014 · In this letter, we propose a new method that uses NNs trained on the active constellation extension (ACE) signals to reduce the PAPR of OFDM ...
In the TFNN scheme, the PAPR is reduced by the use of two stage neural network architecture based on time domain neural network (TNN) for time domain processing.
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How to reduce PAPR in OFDM?
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What is PAPR reduction?
How does a high peak to average power ratio PAPR affect OFDM systems?
Peak-to-average power ratio (PAPR) reduction is one of the key components in orthogonal frequency division multiplexing (OFDM) systems.
Oct 22, 2024 · A novel low complexity PAPR reduction method based on the real-valued neural network (NN) is proposed.
Apr 19, 2021 · This scheme establishes a PAPR reduction module based on NN, which is trained using the low PAPR data obtained by the simplified clipping and filtering (SCF) ...
A novel PAPR reduction scheme based on neural networks (NNs) is proposed for OFDM systems, which establishes a P APR reduction module based on NN, ...
Oct 22, 2024 · In this paper, a novel PAPR reduction scheme based on neural networks (NNs) is proposed for OFDM systems. This scheme establishes a PAPR ...
Apr 19, 2021 · Sohn, “A low complexity PAPR reduction scheme for OFDM systems via neural networks,” IEEE Communications Letters, vol. 18, no. 2, pp. 225 ...
Nov 12, 2020 · Sohn, “A low complexity PAPR reduction scheme for OFDM systems via neural networks,” IEEE Communications Letters, vol. 18, no. 2, pp. 225 ...
This letter proposes a novel PAPR reduction scheme, known as P APR reducing network (PRNet), based on the autoencoder architecture of deep learning, ...