6 papers
WiFi based Multi user Activity Recognition via User Conditioned Spatial Attention
Chenhan Yuan, Ruijing Liu, Cunhua Pan
WiFi-based human activity recognition has achieved high accuracy under the single-user scene. Recognizing activities performed by multiple concurrent users remains challenging, bec…
Robust Cross-Domain WiFi Fall Detection via Physics-Driven Attention-Enhanced Transformers
Yingzhe Wang, Cunhua Pan, Ruijing Liu +4
Device-free fall detection utilizing WiFi Channel State Information (CSI) has emerged as a promising, privacy-preserving solution for elderly health monitoring in the Internet of T…
A BEV-Fusion Based Framework for Sequential Multi-Modal Beam Prediction in mmWave Systems
Jiaming Zeng, Cunhua Pan, Haoyang Weng +3
Beam prediction is critical for reducing beam-training overhead in millimeter-wave (mmWave) systems, especially in high-mobility vehicular scenarios. This paper presents a BEV-Fusi…
WiFi-based Cross-Domain Gesture Recognition Using Attention Mechanism
Ruijing Liu, Cunhua Pan, Jiaming Zeng +4
While fulfilling communication tasks, wireless signals can also be used to sense the environment. Among various types of sensing media, WiFi signals offer advantages such as widesp…
Deep Learning-Based CSI Feedback for XL-MIMO Systems in the Near-Field Domain
Zhangjie Peng, Ruijing Liu, Zhaotian Li +2
In this paper, we consider an extremely large-scale massive multiple-input-multiple-output (XL-MIMO) system. As the scale of antenna arrays increases, the range of near-field commu…
Deep Learning-Based CSI Feedback for RIS-Aided Massive MIMO Systems with Time Correlation
Zhangjie Peng, Zhaotian Li, Ruijing Liu +3
In this paper, we consider an reconfigurable intelligent surface (RIS)-aided frequency division duplex (FDD) massive multiple-input multiple-output (MIMO) downlink system.In the FD…