4 papers · 1 filter
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…