activity
20192025
most citedDeep-Learning Channel Estimation for IRS-Assisted Integrated Sensing and Communication System

71 citations · 146 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CR2025★ 1 cited

Security-aware Semantic-driven ISAC via Paired Adversarial Residual Networks

Yu Liu, Boxiang He, Fanggang Wang

This paper proposes a novel and flexible security-aware semantic-driven integrated sensing and communication (ISAC) framework, namely security semantic ISAC (SS-ISAC). Inspired by…

eess.SP2024★ 71 cited

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

Yu Liu, Ibrahim Al-Nahhal, Octavia A. Dobre +1

Integrated sensing and communication (ISAC), and intelligent reflecting surface (IRS) are envisioned as revolutionary technologies to enhance spectral and energy efficiencies for n…

eess.SP2024★ 47 cited

Extreme Learning Machine-based Channel Estimation in IRS-Assisted Multi-User ISAC System

Yu Liu, Ibrahim Al-Nahhal, Octavia A. Dobre +2

Multi-user integrated sensing and communication (ISAC) assisted by intelligent reflecting surface (IRS) has been recently investigated to provide a high spectral and energy efficie…

eess.SP2024★ 24 cited

Deep-Learning-Based Channel Estimation for IRS-Assisted ISAC System

Yu Liu, Ibrahim Al-Nahhal, Octavia A. Dobre +1

Integrated sensing and communication (ISAC) and intelligent reflecting surface (IRS) are viewed as promising technologies for future generations of wireless networks. This paper in…

cs.IT2019★ 3 cited

Blind Channel Estimation and Data Detection with Unknown Modulation and Coding Scheme

Yu Liu, Fanggang Wang

This paper investigates a complete blind receiver approach in an unknown multipath fading channel, which has multiple tasks including blind channel estimation, noise power estimati…