Deep Learning Based Successive Interference Cancellation Scheme in Nonorthogonal Multiple Access Downlink Network

In this paper, a deep learning-based successive interference cancellation (SIC) scheme for use in nonorthogonal multiple access (NOMA) communication systems is investigated. NOMA has become a notable technique in the field of mobile wireless communication because of its capacity to overcome orthogon...

Descripció completa

Dades bibliogràfiques

Autors principals:	Isaac Sim, Young Ghyu Sun, Donggu Lee, Soo Hyun Kim, Jiyoung Lee, Jae-Hyun Kim, Yoan Shin, Jin Young Kim
Format:	Artigo
Idioma:	Inglês
Publicat:	MDPI AG 2020-11-01
Col·lecció:	Energies
Matèries:	successive interference cancellation (SIC) nonorthogonal multiple access (NOMA) imperfect SIC deep learning convolutional neural network (CNN)
Accés en línia:	https://www.mdpi.com/1996-1073/13/23/6237
Etiquetes:	Afegir etiqueta Sense etiquetes, Sigues el primer a etiquetar aquest registre!