Transformer Network Based Channel Prediction for CSI Feedback Enhancement in AI-Native Air Interface-Reference-Cited by-同舟云学术

Transformer Network Based Channel Prediction for CSI Feedback Enhancement in AI-Native Air Interface

Published:2024-09 Issue:9 Volume:23 Page:11154-11167
ISSN:1536-1276
Container-title:IEEE Transactions on Wireless Communications
language:
Short-container-title:IEEE Trans. Wireless Commun.

Author:

Zhou Tao¹^ORCID,Liu Xiangping¹,Xiang Zuowei¹,Zhang Haitong¹,Ai Bo²^ORCID,Liu Liu¹^ORCID,Jing Xiaorong³^ORCID

Affiliation:

1. Institute of Broadband Wireless Mobile Communications, Beijing Jiaotong University, Beijing, China

2. State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing, China

3. Chongqing Key Laboratory of Mobile Communications Technology, and the Engineering Research Center of Mobile Communications of the Ministry of Education, Chongqing University of Posts and Telecommunications, Chongqing, China

Funder

Fundamental Research Funds for the Central Universities

National Natural Science Foundation of China

Beijing Natural Science Foundation

Engineering Research Center of Mobile Communications, Ministry of Education

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/7693/10678775/10480335.pdf?arnumber=10480335

Reference33 articles.

1. Deep Learning for Physical-Layer 5G Wireless Techniques: Opportunities, Challenges and Solutions

2. Enabling AI in Future Wireless Networks: A Data Life Cycle Perspective

3. Tutorial Machine Learning for AI-Driven Wireless Networks: Challenges and Opportunities

4. A Joint Learning and Communications Framework for Federated Learning Over Wireless Networks

5. Distributed AI-native Architecture for 6G Networks

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