A Machine-Learning-Based Blind Detection on Interference Modulation Order in NOMA Systems

IEEE Communications Letters

Volumn 22, Issue 12, 2018, Pages 2463-2466

  Zhang, Ningbo ^a   Cheng, Kai ^a   Kang, Guixia ^a  

^a BEIJING UNIVERSITY OF POSTS AND TELECOMMUNICATIONS   (China)

Author keywords

Anderson Darling test; Blind detection; machine learning; modulation order; NOMA

Indexed keywords

ARTIFICIAL INTELLIGENCE; EXTRACTION; FEATURE EXTRACTION; LEARNING ALGORITHMS; LEARNING SYSTEMS; MULTIPLE ACCESS INTERFERENCE; PERSONNEL TRAINING; THROUGHPUT; WAVE INTERFERENCE;

ANDERSON-DARLING TESTS; BLIND DETECTION; CONSTELLATION POINTS; CONVENTIONAL ALGORITHMS; INTERFERENCE MODULATION; INTERFERENCE SIGNAL; NOMA; NON ORTHOGONAL MULTIPLE ACCESSES (NOMA);

MODULATION;

EID: 85054485050     PISSN: 10897798     EISSN: 15582558     Source Type: Journal    
DOI: 10.1109/LCOMM.2018.2874218     Document Type: Article

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