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Deep-Learning Channel Estimation for IRS-Assisted Integrated Sensing and
  Communication System
v1v2 (latest)

Deep-Learning Channel Estimation for IRS-Assisted Integrated Sensing and Communication System

IEEE Transactions on Vehicular Technology (IEEE Trans. Veh. Technol.), 2023
29 January 2024
Yu Liu
Ibrahim Al-Nahhal
O. Dobre
Fanggang Wang
ArXiv (abs)PDFHTMLGithub

Papers citing "Deep-Learning Channel Estimation for IRS-Assisted Integrated Sensing and Communication System"

3 / 3 papers shown
Security-aware Semantic-driven ISAC via Paired Adversarial Residual Networks
Security-aware Semantic-driven ISAC via Paired Adversarial Residual Networks
Yu Liu
Boxiang He
Fanggang Wang
AAML
119
0
0
25 Sep 2025
Deep Learning-based Techniques for Integrated Sensing and Communication Systems: State-of-the-Art, Challenges, and Opportunities
Deep Learning-based Techniques for Integrated Sensing and Communication Systems: State-of-the-Art, Challenges, and OpportunitiesIEEE Open Journal of the Communications Society (IEEE Open J. Commun. Soc.), 2025
Murat Temiz
Y. Zhang
Y. Fu
Chi Zhang
Chenfeng Meng
Orhan Kaplan
Christos Masouros
191
12
0
23 Aug 2025
Extreme Learning Machine-based Channel Estimation in IRS-Assisted
  Multi-User ISAC System
Extreme Learning Machine-based Channel Estimation in IRS-Assisted Multi-User ISAC SystemIEEE Transactions on Communications (IEEE Trans. Commun.), 2023
Yu Liu
Ibrahim Al-Nahhal
O. Dobre
Fanggang Wang
Hyundong Shin
232
35
0
29 Jan 2024
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