| Texto completo | |
| Autor(es): |
da Silva, Bianca S. de C.
;
de Souza, Pedro H. C.
;
Mendes, Luciano L.
Número total de Autores: 3
|
| Tipo de documento: | Artigo Científico |
| Fonte: | IEEE Latin America Transactions; v. 23, n. 7, p. 9-pg., 2025-07-01. |
| Resumo | |
This work proposes a new solution to reduce the PAPR in OFDM systems using NN. The NN leverages a training dataset generated by the MCSA, which fine-tunes the NN for attaining a similar PAPR reduction of the MCSA. Compared to traditional techniques such as the PTS, the proposed solution offers superior performance by achieving a PAPR reduction of up to 4 dB. Nevertheless, a significant advantage is that the trained NN presents a lower computational complexity compared to the MCSA, without compromising its PAPR reduction capabilities. (AU) | |
| Processo FAPESP: | 22/09319-9 - Centro de Ciência para o Desenvolvimento em Agricultura Digital - CCD-AD/SemeAr |
| Beneficiário: | Silvia Maria Fonseca Silveira Massruhá |
| Modalidade de apoio: | Auxílio à Pesquisa - Centros de Ciência para o Desenvolvimento |