Clustering-NN Based CFO Estimation Using Random Access Preambles for 5G Non-Terrestrial Networks-Reference-Cited by-同舟云学术

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Clustering-NN Based CFO Estimation Using Random Access Preambles for 5G Non-Terrestrial Networks

Published:2023 Issue: Volume: Page:1-1
ISSN:2162-2337
Container-title:IEEE Wireless Communications Letters
language:
Short-container-title:IEEE Wireless Commun. Lett.

Author:

Zhen Li¹^ORCID,Cheng Luyao¹,Chu Zheng²^ORCID,Yu Keping³^ORCID,Xiao Pei⁴^ORCID,Guizani Mohsen⁵^ORCID

Affiliation:

1. Shaanxi Key Laboratory of Information Communication Network and Security, Xi’an University of Posts and Telecommunications, Xi’an, China

2. Institute for Communication Systems (ICS), Home for 5GIC and 6GIC, University of Surrey, Guildford, U.K.

3. Graduate School of Science and Engineering, Hosei University, Tokyo, Japan

4. Institute for Communication Systems, University of Surrey, Guildford, U.K.

5. Department of Machine Learning, Mohamed Bin Zayed University of Artificial Intelligence (MBZUAI), Abu Dhabi, UAE

Funder

the Scientific Research Program of Shaanxi Provincial Education Department

the Innovation Capability Support Program of Shaanxi

the Open Fund of the Shaanxi Key Laboratory of Information Communication Network and Security

the Japan Society for the Promotion of Science (JSPS) Grants-in-Aid for Scientific Research

the Science and Technology Innovation Team of Shaanxi Province for Broadband Wireless and Application

the Key Research and Development Program of Shaanxi

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/5962382/6065724/10319709.pdf?arnumber=10319709

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