71 citations · 256 across the 17 of their papers we have counts for
17 papers
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…
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…
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…
Rethinking: Deep-learning-based Demodulation and Decoding
Boxiang He, Zitao Wu, Fanggang Wang
In this paper, we focus on the demodulation/decoding of the complex modulations/codes that approach the Shannon capacity. Theoretically, the maximum likelihood (ML) algorithm can a…
Reconfigurable-intelligent-surface-assisted Downlink Transmission Design via Bayesian Optimization
Dong Wang, Xiaodong Wang, Fanggang Wang
This paper investigates the transmission design in the reconfigurable-intelligent-surface (RIS)-assisted downlink system. The channel state information (CSI) is usually difficult t…
Low-complexity and Low-overhead Receiver for OTFS via Large-scale Antenna Array
Yaru Shan, Fanggang Wang
Orthogonal time frequency space (OTFS) is a modulation technique that is dedicated to the high-speed mobility scenario. However, its transmission involves a two-dimensional convolu…