A Deep Learning Approach for MIMO-NOMA Downlink Signal Detection

A Deep Learning Approach for MIMO-NOMA Downlink Signal Detection

As a key candidate technique for fifth-generation (5G) mobile communication systems, non-orthogonal multiple access (NOMA) has attracted considerable attention in the field of wireless communication. Successive interference cancellation (SIC) is the main NOMA detection method applied at receivers fo...

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Bibliographic Details
Main Authors: Chuan Lin, Qing Chang, Xianxu Li
Format: Article
Language:English
Published: MDPI AG 2019-06-01
Series:Sensors
Subjects:
5G
non-orthogonal multiple access (NOMA)
multiple-input multiple-output (MIMO)
deep learning (DL)
wireless communication
Online Access:https://www.mdpi.com/1424-8220/19/11/2526

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