Model-Driven Federated Learning for Channel Estimation in Millimeter-Wave Massive MIMO Systems-Reference-Cited by-同舟云学术

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Model-Driven Federated Learning for Channel Estimation in Millimeter-Wave Massive MIMO Systems

Published:2024-04-21 Issue: Volume: Page:1-6
ISSN:
Container-title:2024 IEEE Wireless Communications and Networking Conference (WCNC)
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Author:

Yi Qin¹,Yang Ping¹,Liu Zilong²,Huang Yiqian¹,Zammit Saviour³

Affiliation:

1. University of Electronic Science and Technology of China,National Key Laboratory of Wireless Communications,Sichuan,China

2. School of Computer Science and Electronics Engineering, University of Essex,Colchester,United Kingdom

3. University of Malta,Department of Communications and Computer Engineering,Msida,Malta

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10570463/10570502/10570958.pdf?arnumber=10570958

Reference18 articles.

1. Joint Channel Training and Feedback for FDD Massive MIMO Systems

2. Channel Estimation for Millimeter-Wave Massive MIMO With Hybrid Precoding Over Frequency-Selective Fading Channels

3. Channel Estimation via Orthogonal Matching Pursuit for Hybrid MIMO Systems in Millimeter Wave Communications

4. Frequency-Domain Compressive Channel Estimation for Frequency-Selective Hybrid Millimeter Wave MIMO Systems

5. Pilot design and AMP-based channel estimation for massive MIMO-OFDM uplink transmission

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