Jun 30, 2020 · This method first builds the PAPR reduction module using the real-valued NN to achieve the reduction of PAPR. To reconstruct the transmission ...
This method first builds the PAPR reduction module using the real-valued NN to achieve the reduction of PAPR. To reconstruct the transmission signal, the PAPR ...
This method first builds the PAPR reduction module using the real-valued NN to achieve the reduction of PAPR. To reconstruct the transmission signal, the PAPR ...
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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.
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) ...
Aug 8, 2024 · This scheme establishes a PAPR reduction module based on NN, which is trained using the low PAPR data obtained by the simplified clipping and ...
Nov 12, 2020 · We analyse the model's performance by examining the bit error rate (BER), the PAPR and the spectral response, and comparing them with common.
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A Survey of PAPR Techniques Based on Machine Learning - PMC - NCBI
www.ncbi.nlm.nih.gov › PMC10974123
This paper presents a comprehensive review of PAPR optimization techniques with a focus on ML approaches.
Abstract. OFDM is a ubiquitous modulation scheme used to achieve high data rate during transmission and reception in broadband internet of things ...
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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 ...