Spatial Channel State Information Prediction With Generative AI: Toward Holographic Communication and Digital Radio Twin-Reference-Cited by-同舟云学术

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Spatial Channel State Information Prediction With Generative AI: Toward Holographic Communication and Digital Radio Twin

Published:2024-09 Issue:5 Volume:38 Page:93-101
ISSN:0890-8044
Container-title:IEEE Network
language:
Short-container-title:IEEE Network

Author:

Zhang Lihao¹^ORCID,Sun Haijian¹^ORCID,Zeng Yong²^ORCID,Hu Rose Qingyang³^ORCID

Affiliation:

1. School of Electrical and Computer Engineering, University of Georgia, Athens, GA, USA

2. National Mobile Communications Research Laboratory, Southeast University, Nanjing, China

3. Department of Electrical and Computer Engineering, Utah State University, Logan, UT, USA

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/65/10680059/10580971.pdf?arnumber=10580971

Reference15 articles.

1. An Overview of Massive MIMO: Benefits and Challenges

2. RIS-based IMT-2030 testbed for mmWave multi-stream ultra-massive MIMO communications;Zeng;arXiv:2310.15486,2023

3. Holographic MIMO Surfaces for 6G Wireless Networks: Opportunities, Challenges, and Trends

4. A tutorial on environment-aware communications via channel knowledge map for 6G;Zeng;arXiv:2309.07460,2023

5. A comprehensive survey and analysis of generative models in machine learning

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