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eess.SP2026
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…
eess.SP2024
Floor-Plan-aided Indoor Localization: Zero-Shot Learning Framework, Data Sets, and Prototype
Haiyao Yu, Changyang She, Yunkai Hu +4
Machine learning has been considered a promising approach for indoor localization. Nevertheless, the sample efficiency, scalability, and generalization ability remain open issues o…
eess.SP2024
A Constrained Deep Reinforcement Learning Optimization for Reliable Network Slicing in a Blockchain-Secured Low-Latency Wireless Network
Xin Hao, Phee Lep Yeoh, Changyang She +3
Network slicing (NS) is a promising technology that supports diverse requirements for next-generation low-latency wireless communication networks. However, the tampering attack is…