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...

Deskribapen osoa

Xehetasun bibliografikoak

Egile Nagusiak:	Isaac Sim, Young Ghyu Sun, Donggu Lee, Soo Hyun Kim, Jiyoung Lee, Jae-Hyun Kim, Yoan Shin, Jin Young Kim
Formatua:	Artigo
Hizkuntza:	Inglês
Argitaratua:	MDPI AG 2020-11-01
Saila:	Energies
Gaiak:	successive interference cancellation (SIC) nonorthogonal multiple access (NOMA) imperfect SIC deep learning convolutional neural network (CNN)
Sarrera elektronikoa:	https://www.mdpi.com/1996-1073/13/23/6237
Etiketak:	Etiketa erantsi Etiketarik gabe, Izan zaitez lehena erregistro honi etiketa jartzen!