DeepReceiver: A Deep Learning-Based Intelligent Receiver for Wireless Communications in the Physical Layer

A canonical wireless communication system consists of a transmitter and a receiver. The information bit stream is transmitted after coding, modulation, and pulse shaping. Due to the effects of radio frequency (RF) impairments, channel fading, noise and interference, the signal arriving at the receiv...

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Bibliographic Details
Published in:	IEEE transactions on cognitive communications and networking Vol. 7; no. 1; pp. 5 - 20
Main Authors:	Zheng, Shilian, Chen, Shichuan, Yang, Xiaoniu
Format:	Journal Article
Language:	English
Published:	Piscataway IEEE 01.03.2021 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	adaptive modulation and coding Artificial neural networks Bit error rate Cochannel interference Coding Convolution convolutional neural network Decoding Deep learning Fading Fading channels Interference Modulation Neural networks noise Radio frequency receiver Receivers Recovery Signal classification Wireless communication Wireless communication systems Wireless communications
ISSN:	2332-7731, 2332-7731
Online Access:	Get full text
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