AI Empowered Channel Semantic Acquisition for 6G Integrated Sensing and Communication Networks-Reference-Cited by-同舟云学术

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AI Empowered Channel Semantic Acquisition for 6G Integrated Sensing and Communication Networks

Published:2024-03 Issue:2 Volume:38 Page:45-53
ISSN:0890-8044
Container-title:IEEE Network
language:
Short-container-title:IEEE Network

Author:

Zhang Yifei¹^ORCID,Gao Zhen¹^ORCID,Zhao Jingjing²^ORCID,He Ziming³^ORCID,Zhang Yunsheng⁴,Lu Chen⁴^ORCID,Xiao Pei⁵^ORCID

Affiliation:

1. Advanced Research Institute of Multidisciplinary Science, Beijing Institute of Technology, Beijing, China

2. School of Electronics and Information Engineering, Beihang University, Beijing, China

3. Samsung Cambridge Solution Centre, System LSI, Samsung Electronics, Cambridge, U.K

4. Shenzhen Institute of Information Technology, Shenzhen, China

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

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/65/10527424/10400499.pdf?arnumber=10400499

Reference15 articles.

1. Integrated Sensing and Communications: Toward Dual-Functional Wireless Networks for 6G and Beyond

2. Enabling Joint Communication and Radar Sensing in Mobile Networks -A Survey

3. Joint Communication and Sensing Toward 6G: Models and Potential of Using MIMO

4. Integrated Sensing and Communication Signals Toward 5G-A and 6G: A Survey

5. Hybrid Knowledge-Data Driven Channel Semantic Acquisition and Beamforming for Cell-Free Massive MIMO

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1. Orthogonal Chirp Division Multiplexing Waveform Design for 6G mmWave UAV Integrated Sensing and Communication;2024 International Wireless Communications and Mobile Computing (IWCMC);2024-05-27

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