scholarly journals Deep Learning for Signal Demodulation in Physical Layer Wireless Communications: Prototype Platform, Open Dataset, and Analytics

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 30792-30801 ◽  
Author(s):  
Hongmei Wang ◽  
Zhenzhen Wu ◽  
Shuai Ma ◽  
Songtao Lu ◽  
Han Zhang ◽  
...  
Keyword(s):  
Deep Learning ◽  
Wireless Communications ◽  
Physical Layer ◽  
Signal Demodulation

scholarly journals Implementation of conventional communication system in deep learning

2017 ◽  
Vol 7 (1.1) ◽  
pp. 696
Author(s):  
Satyanarayana P ◽  
Charishma Devi. V ◽  
Sowjanya P ◽  
Satish Babu ◽  
N Syam Kumar ◽  
...  
Keyword(s):  
Machine Learning ◽  
Computer Vision ◽  
Communication Network ◽  
Deep Learning ◽  
Communication System ◽  
Communication Systems ◽  
Physical Layer ◽  
Learning Capacity ◽  
Constrained Learning ◽  
Complex Channel

Machine learning (ML) has been broadly connected to the upper layers of communication systems for different purposes, for example, arrangement of cognitive radio and communication network. Nevertheless, its application to the physical layer is hindered by complex channel conditions and constrained learning capacity of regular ML algorithms. Deep learning (DL) has been as of late connected for some fields, for example, computer vision and normal dialect preparing, given its expressive limit and advantageous enhancement ability. This paper describes about a novel use of DL for the physical layer. By deciphering a communication system as an auto encoder, we build up an essential better approach to consider communication system outline as a conclusion to-end reproduction undertaking that tries to together enhance transmitter and receiver in a solitary procedure. This DL based technique demonstrates promising execution change than traditional communication system.  

scholarly journals Deep learning for wireless physical layer: Opportunities and challenges

2017 ◽  
Vol 14 (11) ◽  
pp. 92-111 ◽  
Author(s):  
Tianqi Wang ◽  
Chao-Kai Wen ◽  
Hanqing Wang ◽  
Feifei Gao ◽  
Tao Jiang ◽  
...  
Keyword(s):  
Deep Learning ◽  
Physical Layer

scholarly journals Deep Learning in Physical Layer Communications

2019 ◽  
Vol 26 (2) ◽  
pp. 93-99 ◽  
Author(s):  
Zhijin Qin ◽  
Hao Ye ◽  
Geoffrey Ye Li ◽  
Biing-Hwang Fred Juang
Keyword(s):  
Deep Learning ◽  
Physical Layer
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