Transformer-Based Deep Learning Detector for Dual-Mode Index Modulation 3D-OFDM-Reference-Cited by-同舟云学术

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Transformer-Based Deep Learning Detector for Dual-Mode Index Modulation 3D-OFDM

Published:2023-10-31 Issue: Volume: Page:
ISSN:
Container-title:2023 Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)
language:
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Author:

Gian Toan¹,Nguyen Tien-Hoa¹,Nguyen Trung Tan²,Pham Van-Cuong³,Van Luong Thien³

Affiliation:

1. Hanoi University of Science and Technology,School of Electrical and Electronics Engineering,Hanoi,Vietnam

2. Le Quy Don Technical University,Faculty of Radio-Electronics,Ha Noi,Vietnam,11355

3. Phenikaa University,Faculty of Computer Science,Hanoi,Vietnam,12116

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10317071/10317095/10317107.pdf?arnumber=10317107

Reference25 articles.

1. Dual-Mode Index Modulation Aided 3D-OFDM

2. Improvement of four-dimensional signal constellations and corresponding OFDM system model design;xiang-li;ACTA ELECTONICA SINICA,2020

3. Deep learning in neural networks: An overview

4. Three-Dimensional Modulation Formats with Constant Power for Optical Communications

5. 3-D Constellation Extension-aided PAPR Suppressing for OFDM Systems

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