A Frequency Domain Predictive Channel Model for 6G Wireless MIMO Communications Based on Deep Learning-Reference-Cited by-同舟云学术

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A Frequency Domain Predictive Channel Model for 6G Wireless MIMO Communications Based on Deep Learning

Published:2024-08 Issue:8 Volume:72 Page:4887-4902
ISSN:0090-6778
Container-title:IEEE Transactions on Communications
language:
Short-container-title:IEEE Trans. Commun.

Author:

Huang Chen¹^ORCID,Wang Cheng-Xiang¹^ORCID,Li Zheao¹^ORCID,Qian Zhongyu²,Li Junling¹^ORCID,Miao Yang³^ORCID

Affiliation:

1. Pervasive Communication Research Center, Purple Mountain Laboratories, Nanjing, China

2. National Mobile Communications Research Laboratory, School of Information Science and Engineering, Southeast University, Nanjing, China

3. Mathematics and Computer Science (EEMCS), Radio Systems (RS), University of Twente, Enschede, The Netherlands

Funder

National Key Research and Development Program of China

Key Technologies R&D Program of Jiangsu

Fundamental Research Funds for the Central Universities

National Natural Science Foundation of China

EU H2020 RISE TESTBED2 project

Young Elite Scientists Sponsorship Program by CAST

Start-up Research Fund of Southeast University

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/26/10637778/10466759.pdf?arnumber=10466759

Reference54 articles.

1. Towards 6G wireless communication networks: vision, enabling technologies, and new paradigm shifts

2. 6G Wireless Channel Measurements and Models: Trends and Challenges

3. A Survey of 5G Channel Measurements and Models

4. Mobility Model-Based Non-Stationary Mobile-to-Mobile Channel Modeling

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