Deep learning in physical layer communications

IEEE Wireless Communications

Volumn 26, Issue 2, 2019, Pages 93-99

  Qin, Zhijin ^a   Ye, Hao ^b   Li, Geoffrey Ye ^b   Juang, Biing Hwang Fred ^b  

^a QUEEN MARY UNIVERSITY OF LONDON   (United Kingdom)

^b GEORGIA INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMMUNICATION SYSTEMS; GALLIUM NITRIDE; III-V SEMICONDUCTORS; MATHEMATICAL MODELS; NETWORK LAYERS; NEURAL NETWORKS; NEURONS; PERSONNEL TRAINING;

BIOLOGICAL NEURAL NETWORKS; BLOCK STRUCTURES; END-TO-END COMMUNICATION; PHYSICAL LAYERS; POTENTIAL RESEARCHES; SIGNAL COMPRESSION;

DEEP LEARNING;

EID: 85062942226     PISSN: 15361284     EISSN: 15580687     Source Type: Journal    
DOI: 10.1109/MWC.2019.1800601     Document Type: Article

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