1 citations · 1 across the 3 of their papers we have counts for
6 papers
UL-Assisted Parametric CSI Feedback and Prediction for FDD Systems
Hao Chang, Mingcheng Nie, Shuangyang Li +4
In frequency-division duplex (FDD) systems, the uplink (UL) and downlink (DL) channels are not fully reciprocal. Therefore, DL channel state information (CSI) estimated by each use…
Channel Estimation for OFDM via Delay-Doppler Refinement
Mingcheng Nie, Hao Chang, Xiaoqi Zhang +4
In this paper, we propose a novel channel estimation (CE) algorithm for orthogonal frequency division multiplexing (OFDM) systems that exploits the unique characteristics of the de…
LocDreamer: World Model-Based Learning for Joint Indoor Tracking and Anchor Scheduling
Geng Wang, Zhouyou Gu, Shenghong Li +4
Accurate, resource-efficient localization and tracking enables numerous location-aware services in next-generation wireless networks. However, existing machine learning-based metho…
SIG-SDP: Sparse Interference Graph-Aided Semidefinite Programming for Large-Scale Wireless Time-Sensitive Networking
Zhouyou Gu, Jihong Park, Branka Vucetic +1
Wireless time-sensitive networking (WTSN) is essential for Industrial Internet of Things. We address the problem of minimizing time slots needed for WTSN transmissions while ensuri…
Graph Neural Network-based End-to-End Learning for Multi-User MIMO Systems
Hao Chang, Hoang Triet Vo, Alva Kosasih +2
End-to-end (E2E) learning has recently been proposed to jointly design the modulator and symbol detector by using deep neural networks (DNNs). However, existing schemes lack suffic…
Graph-based Untrained Neural Network Detector for OTFS Systems
Hao Chang, Branka Vucetic, Wibowo Hardjawana
Inter-carrier interference (ICI) caused by mobile reflectors significantly degrades the conventional orthogonal frequency division multiplexing (OFDM) performance in high-mobility…