Full-Duplex Millimeter Wave MIMO Channel Estimation: A Neural Network Approach-Reference-Cited by-同舟云学术

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Full-Duplex Millimeter Wave MIMO Channel Estimation: A Neural Network Approach

Published:2024 Issue: Volume:2 Page:1093-1108
ISSN:2831-316X
Container-title:IEEE Transactions on Machine Learning in Communications and Networking
language:
Short-container-title:Trans. Mach. Learn. Comm. Netw.

Author:

Sattari Mehdi¹^ORCID,Guo Hao¹^ORCID,Gündüz Deniz²^ORCID,Panahi Ashkan³,Svensson Tommy¹^ORCID

Affiliation:

1. Department of Electrical Engineering, Chalmers University of Technology, Gothenburg, Sweden

2. Department of Electrical and Electronic Engineering, Imperial College London, London, U.K.

3. Department of Computer Science, Chalmers University of Technology, Gothenburg, Sweden

Funder

SEMANTIC

European (EU’s) Horizon 2020 Research and Innovation Program under the Marie Skłodowska-Curie

Swedish Research Council [Vetenskapsrådet (VR)]

National Academic Infrastructure for Supercomputing in Sweden (NAISS), through VR

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/9882533/10356147/10608175.pdf?arnumber=10608175

Reference41 articles.

1. Five disruptive technology directions for 5G

2. In-Band Full-Duplex Wireless: Challenges and Opportunities

3. Millimeter-Wave Full Duplex Radios: New Challenges and Techniques

4. Realizing High Power Full Duplex in Millimeter Wave System: Design, Prototype and Results

5. Experiment-Driven Characterization of Full-Duplex Wireless Systems

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