A Model-Driven Deep Learning-Based Receiver for OFDM System With Carrier Frequency Offset-Reference-Cited by-同舟云学术

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A Model-Driven Deep Learning-Based Receiver for OFDM System With Carrier Frequency Offset

Published:2024-04 Issue:4 Volume:28 Page:813-817
ISSN:1089-7798
Container-title:IEEE Communications Letters
language:
Short-container-title:IEEE Commun. Lett.

Author:

Lin Xincong¹^ORCID,Shen Yushi²,Jiang Chunxiao³^ORCID

Affiliation:

1. Guangzhou Haige Communications Group Inc., Company, Guangzhou, China

2. Department of Engineering Sciences and Information Technology, Georgian National Academy of Sciences, Tbilisi, Georgia

3. Tsinghua Space Center, Tsinghua University, Beijing, China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/4234/10496344/10403945.pdf?arnumber=10403945

Reference11 articles.

1. Power of Deep Learning for Channel Estimation and Signal Detection in OFDM Systems

2. Deep Learning-Based Channel Estimation for Beamspace mmWave Massive MIMO Systems

3. ComNet: Combination of Deep Learning and Expert Knowledge in OFDM Receivers

4. Deep-Waveform: A Learned OFDM Receiver Based on Deep Complex-Valued Convolutional Networks

5. Model-Driven Deep Learning for MIMO Detection

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Iterative Joint Frequency Synchronization and Channel Estimation for Uplink Massive MIMO;IEEE Internet of Things Journal;2024-09-01

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