Multi-User Joint Detection Using Bi-Directional Deep Neural Network Framework in NOMA-OFDM System.

Rahman, Md Habibur; Sejan, Mohammad Abrar Shakil; Yoo, Seung-Geun; Kim, Min-A; You, Young-Hwan; Song, Hyoung-Kyu

Rahman, Md Habibur; Sejan, Mohammad Abrar Shakil; Yoo, Seung-Geun; Kim, Min-A; You, Young-Hwan; Song, Hyoung-Kyu.

Afiliação

Rahman MH; Department of Information and Communication Engineering, Sejong University, Seoul 05006, Korea.
Sejan MAS; Department of Convergence Engineering for Intelligent Drone, Sejong University, Seoul 05006, Korea.
Yoo SG; Department of Information and Communication Engineering, Sejong University, Seoul 05006, Korea.
Kim MA; Department of Convergence Engineering for Intelligent Drone, Sejong University, Seoul 05006, Korea.
You YH; Department of Information and Communication Engineering, Sejong University, Seoul 05006, Korea.
Song HK; Department of Convergence Engineering for Intelligent Drone, Sejong University, Seoul 05006, Korea.

Sensors (Basel) ; 22(18)2022 Sep 15.

Article em En | MEDLINE | ID: mdl-36146342

Assuntos

Redes de Comunicação de Computadores; Noma; Algoritmos; Humanos; Redes Neurais de Computação; Razão Sinal-Ruído

Palavras-chave

5G; Bi-LSTM; CNN; NOMA; machine learning; wireless communication

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Redes de Comunicação de Computadores / Noma Tipo de estudo: Diagnostic_studies Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article

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