activity
20232026
most citedCSI-BERT2: A BERT-inspired Framework for Efficient CSI Prediction and Classification in Wireless Communication and Sensing

3 citations · 6 across the 8 of their papers we have counts for

collaborators

8 papers

cs.IT2026

Performance Analysis for Heterogeneous Air-Ground ISAC in Coordinated Multipoint Networks

Yihang Jiang, Xiaoyang Li, Guangxu Zhu +6

The emergence of the \textit{low-altitude economy} (LAE) calls for highly integrated and reliable wireless systems that can simultaneously support \textit{communication and sensing…

cs.CE2026

UAV Trajectory and Bandwidth Allocation for Efficient Data Collection in Low-Altitude Intelligent IoT: A Hierarchical DRL Approach

Zhenjia Xu, Xiaoling Zhang, Nan Qi +3

The low-altitude Internet of Things (IoT), supported by unmanned aerial vehicles (UAVs), provides ground sensing networks with advanced real-time monitoring and data collection. To…

cs.IT2025

Sensing Performance Analysis in Cooperative Air-Ground ISAC Networks for LAE

Yihang Jiang, Xiaoyang Li, Guangxu Zhu +4

To support the development of low altitude economy, the air-ground integrated sensing and communication (ISAC) networks need to be constructed to provide reliable and robust commun…

cs.LG2024

CSI-BERT2: A BERT-inspired Framework for Efficient CSI Prediction and Classification in Wireless Communication and Sensing

Zijian Zhao, Fanyi Meng, Zhonghao Lyu +3

Channel state information (CSI) is a fundamental component in both wireless communication and sensing systems, enabling critical functions such as radio resource optimization and e…

cs.CV2024

LoFi: Vision-Aided Label Generator for Wi-Fi Localization and Tracking

Zijian Zhao, Tingwei Chen, Fanyi Meng +4

Data-driven Wi-Fi localization and tracking have shown great promise due to their lower reliance on specialized hardware compared to model-based methods. However, most existing dat…

cs.CV2024

KNN-MMD: Cross Domain Wireless Sensing via Local Distribution Alignment

Zijian Zhao, Zhijie Cai, Tingwei Chen +4

Wireless sensing has recently found widespread applications in diverse environments, including homes, offices, and public spaces. By analyzing patterns in channel state information…