Transformer-Based Detection for Highly Mobile Coded OFDM Systems.

Wang, Leijun; Zhou, Wenbo; Tong, Zian; Zeng, Xianxian; Zhan, Jin; Li, Jiawen; Chen, Rongjun

Wang, Leijun; Zhou, Wenbo; Tong, Zian; Zeng, Xianxian; Zhan, Jin; Li, Jiawen; Chen, Rongjun.

Afiliação

Wang L; School of Computer Science, Guangdong Polytechnic Normal University, Guangzhou 510665, China.
Zhou W; School of Computer Science, Guangdong Polytechnic Normal University, Guangzhou 510665, China.
Tong Z; School of Computer Science, Guangdong Polytechnic Normal University, Guangzhou 510665, China.
Zeng X; School of Computer Science, Guangdong Polytechnic Normal University, Guangzhou 510665, China.
Zhan J; Guangdong Provincial Key Laboratory of Big Data Computing, The Chinese University of Hong Kong, Shenzhen 518000, China.
Li J; School of Computer Science, Guangdong Polytechnic Normal University, Guangzhou 510665, China.
Chen R; School of Computer Science, Guangdong Polytechnic Normal University, Guangzhou 510665, China.

Entropy (Basel) ; 25(6)2023 May 26.

Article em En | MEDLINE | ID: mdl-37372196

Palavras-chave

deep learning; deep neural network (DNN); high-speed railway; orthogonal frequency division multiplexing (OFDM); transformer; wireless communication

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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies Idioma: En Revista: Entropy (Basel) Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China

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