Sparse Channel Estimation Aided Federated Learning Assisted Non-Terrestral Network-Reference-Cited by-同舟云学术

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Sparse Channel Estimation Aided Federated Learning Assisted Non-Terrestral Network

Published:2024-04-12 Issue: Volume: Page:74-78
ISSN:
Container-title:2024 5th International Conference on Geology, Mapping and Remote Sensing (ICGMRS)
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Author:

Zhang Hongming¹,Meng Xi²,Qi Fei²,Chai Yuqing²,Li Pengpeng³,Liu Xiaoyong⁴

Affiliation:

1. School of Information and Communication Engineering, Beijing University of Posts and Telecommunications,Beijing,China

2. Mobile and Terminal Technology Research Institute, China Telecom Research Institute,Beijing,China

3. State radio monitoring center,Beijing,China

4. The State Radio monitoring center Testing Center,Beijing,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10579947/10580996/10581138.pdf?arnumber=10581138

Reference7 articles.

1. Aerial Reconfigurable Intelligent Surface Assisted Maritime Wireless Communications

2. Federated Learning Assisted Multi-UAV Networks

3. On the Optimization of UAV-Assisted Wireless Networks for Hierarchical Federated Learning

4. Federated Learning for UAVs-Enabled Wireless Networks: Use Cases, Challenges, and Open Problems

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