Survey of general communication based on using deep learning autoencoder
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Tarih
2022
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Institute of Electrical and Electronics Engineers Inc.
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
The growth of artificial intelligence opened several horizons and fields that made researchers more curious about the progress in this field, especially the growth of deep learning and its entry into the world of communications such as autoencoder, and this is likely due to its ability to bypass the impact of the noise that the signal suffered by denoising feature. In this field, there are many research papers, most of which are mentioned in this review, to produce a research paper that can be considered as a reference for researchers who wish to know the most prominent research findings included in this topic. The results were categorized based on (Challenges trying solved, type of system, channel types, system parameters, and findings) and it was found that there was a difference in the variables used in the mentioned research.
Açıklama
Anahtar Kelimeler
Autoencoder, BER, Channel Estimation, Neural Network, OFDM
Kaynak
ISMSIT 2022 - 6th International Symposium on Multidisciplinary Studies and Innovative Technologies, Proceedings
WoS Q Değeri
Scopus Q Değeri
N/A
Cilt
Sayı
Künye
Mohammed, M., Çevik, M., Alyassri, S. (2022). Survey of General Communication Based on Using Deep Learning Autoencoder. In 2022 International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT) (pp. 741-746). IEEE.
