Spectral Efficiency Improvement Using Bi-Deep Learning Model for IRS-Assisted MU-MISO Communication System.

Aziz, Md Abdul; Rahman, Md Habibur; Sejan, Mohammad Abrar Shakil; Baik, Jung-In; Kim, Dong-Sun; Song, Hyoung-Kyu

Aziz, Md Abdul; Rahman, Md Habibur; Sejan, Mohammad Abrar Shakil; Baik, Jung-In; Kim, Dong-Sun; Song, Hyoung-Kyu.

Afiliación

Aziz MA; Department of Information and Communication Engineering, Sejong University, Seoul 05006, Republic of Korea.
Rahman MH; Department of Convergence Engineering for Intelligent Drone, Sejong University, Seoul 05006, Republic of Korea.
Sejan MAS; Department of Information and Communication Engineering, Sejong University, Seoul 05006, Republic of Korea.
Baik JI; Department of Convergence Engineering for Intelligent Drone, Sejong University, Seoul 05006, Republic of Korea.
Kim DS; Department of Information and Communication Engineering, Sejong University, Seoul 05006, Republic of Korea.
Song HK; Department of Convergence Engineering for Intelligent Drone, Sejong University, Seoul 05006, Republic of Korea.

Sensors (Basel) ; 23(18)2023 Sep 11.

Article en En | MEDLINE | ID: mdl-37765850

Palabras clave

Bi-LSTM; IRS; machine learning; multi-user multiple input single output; spectral efficiency

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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Sensors (Basel) Año: 2023 Tipo del documento: Article

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