A comparative study of deep learning and iterative algorithms for joint channel estimation and signal detection in OFDM systems-Reference-Cited by-同舟云学术

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A comparative study of deep learning and iterative algorithms for joint channel estimation and signal detection in OFDM systems

Published:2024-10 Issue: Volume:223 Page:109554
ISSN:0165-1684
Container-title:Signal Processing
language:en
Short-container-title:Signal Processing

Author:

Ju Haocheng^ORCID,Zhang Haimiao^ORCID,Li Lin,Li Xiao,Dong Bin^ORCID

Publisher

Elsevier BV

Reference62 articles.

1. Media-based modulation for future wireless systems: A tutorial;Basar;IEEE Wirel. Commun.,2019

2. On the way towards fourth-generation mobile: 3GPP LTE and LTE-advanced;Martin-Sacristan;EURASIP J. Wireless Commun. Networking,2009

3. A comparative study of iterative channel estimators for mobile OFDM systems;Sanzi;IEEE Trans. Wireless Commun.,2003

4. Deep learning-based channel estimation;Soltani;IEEE Commun. Lett.,2019

5. Deep residual learning meets OFDM channel estimation;Li;IEEE Wirel. Commun. Lett.,2019

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