Asymmetric autoencoder for PAPR reduction of OFDM signals-Reference-Cited by-同舟云学术

Asymmetric autoencoder for PAPR reduction of OFDM signals

Published:2022-07-01 Issue:7 Volume:11 Page:398-404
ISSN:2187-0136
Container-title:IEICE Communications Express
language:en
Short-container-title:IEICE ComEX

Author:

OHTA Masaya¹,KUWAHARA Reiya¹

Affiliation:

1. Graduate School of Humanities and Sustainable System Sciences, Osaka Prefecture University

Publisher

Institute of Electronics, Information and Communications Engineers (IEICE)

Subject

General Medicine

Link

https://www.jstage.jst.go.jp/article/comex/11/7/11_2022XBL0049/_pdf

Reference5 articles.

1. [1] H. Ochiai and H. Imai, “Performance analysis of deliberately clipped OFDM signals,” IEEE Trans. Commun., vol. 50, no. 1, pp. 89-101, Jan. 2002. DOI: 10.1109/26.975762

2. [2] R.W. Bäuml, R.F.H. Fischer, and J.B. Huber, “Reducing the peak-to-average power ratio of multicarrier modulation by selected mapping,” IEE Electronics Lett., vol. 32, no. 22, pp. 2056-2057, Oct. 1996. DOI: 10.1049/el: 19961384

3. [3] M. Kim, W. Lee, and D. Cho, “A novel PAPR reduction scheme for OFDM system based on deep learning,” IEEE Commun. Lett., vol. 22, no. 3, pp. 510-513, 2017. DOI: 10.1109/lcomm.2017.2787646

4. [4] R. Kuwahara and M. Ohta, “PAPR and OOBE suppression using deep learning,” IEICE Trans. Commun. (Japanese Edition), vol. J104-B, no. 12, pp. 992-996, Dec. 2021.

5. [5] J. van de Beek, “Orthogonal multiplexing in a subspace of frequency well-localized signals,” IEEE Commun. Lett., vol. 14, no. 10, pp. 882-884, 2010. DOI: 10.1109/lcomm.2010.081610.100997

Cited by 4 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. PRNet with Convolution Layer for PAPR Reduction of OFDM Signals;IEICE Communications Express;2024-08

2. PRNet with Convolution Layer for PAPR Reduction of OFDM Signals and FPGA Implementation;2024 International Technical Conference on Circuits/Systems, Computers, and Communications (ITC-CSCC);2024-07-02

3. Deep Learning-Based PAPR Suppression of OFDM Signals with Clipping Constraint;2024 International Technical Conference on Circuits/Systems, Computers, and Communications (ITC-CSCC);2024-07-02

4. Deep learning based asymmetrical autoencoder for PAPR reduction of CP-OFDM systems;Engineering Science and Technology, an International Journal;2024-02