Best Papers
 Transformer-Based Phase Noise Estimation in DFT-s-OFDM 


Vol. 51,  No. 3, pp. 586-593, Mar.  2026
10.7840/kics.2026.51.3.586


PDF Full-Text
  Abstract

Future 6G systems require high-capacity data transmission utilizing ultra-high frequency bands. However, this leads to communication performance degradation due to the high peak-to-average power ratio (PAPR) of OFDM waveforms and phase noise, which destroys the orthogonality between subcarriers. Existing mathematical algorithms have limitations in correcting phase noise accurately due to information loss from aliasing. In this paper, we propose a phase noise estimator for DFT-s-OFDM (Discrete Fourier Transform-spread-OFDM) utilizing transformer models and demonstrate superior performance compared to existing mathematical algorithms through simulation.

  Statistics
Cumulative Counts from November, 2022
Multiple requests among the same browser session are counted as one view. If you mouse over a chart, the values of data points will be shown.


  Related Articles
  Cite this article

[IEEE Style]

D. Jang and K. Choi, "Transformer-Based Phase Noise Estimation in DFT-s-OFDM," The Journal of Korean Institute of Communications and Information Sciences, vol. 51, no. 3, pp. 586-593, 2026. DOI: 10.7840/kics.2026.51.3.586.

[ACM Style]

Dong-hwan Jang and Kae-won Choi. 2026. Transformer-Based Phase Noise Estimation in DFT-s-OFDM. The Journal of Korean Institute of Communications and Information Sciences, 51, 3, (2026), 586-593. DOI: 10.7840/kics.2026.51.3.586.

[KICS Style]

Dong-hwan Jang and Kae-won Choi, "Transformer-Based Phase Noise Estimation in DFT-s-OFDM," The Journal of Korean Institute of Communications and Information Sciences, vol. 51, no. 3, pp. 586-593, 3. 2026. (https://doi.org/10.7840/kics.2026.51.3.586)
Vol. 51, No. 3 Index

Search
(IN TITLE, AUTHOR, ABSTRACT,KEYWORDS)

Advanced Search ▼

POPULAR KEYWORDS
(TOP 10 KEYWORDS)

Recent Publications
(LAST 3 YEARS)






pISSN : 1226 - 4717
eISSN : 2287 - 3880