SigT: An Efficient End-to-End MIMO-OFDM Receiver Framework Based on Transformer-Reference-Cited by-同舟云学术

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SigT: An Efficient End-to-End MIMO-OFDM Receiver Framework Based on Transformer

Published:2022-12-27 Issue: Volume: Page:
ISSN:
Container-title:2022 5th International Conference on Communications, Signal Processing, and their Applications (ICCSPA)
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Author:

Ren Ziyou¹,Cheng Nan¹,Sun Ruijin¹,Wang Xiucheng¹,Lu Ning²,Xu Wenchao³

Affiliation:

1. School of Telecommunications Engineering, Xidian University,Xi'an,China

2. Queen's University,Department of Electrical and Computer Engineering,Kingston,Ontario,Canada,K7L 3N6

3. The Hong Kong Polytechnic University,Department of Computing,Hongkong,China

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China (NSFC)

Fundamental Research Funds for the Central Universities

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10018924/10018967/10019001.pdf?arnumber=10019001

Reference15 articles.

1. ComNet: Combination of Deep Learning and Expert Knowledge in OFDM Receivers

2. An image is worth 16x16 words: Transformers for image recognition at scale;dosovitskiy;ArXiv Preprint,2020

3. Attention is all you need;vaswani;Advances in neural information processing systems,2017

4. Deep Learning Based Communication Over the Air

Cited by 1 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. A comprehensive survey on applications of transformers for deep learning tasks;Expert Systems with Applications;2024-05

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