16 papers
RA-LWLM: Retrieval-Augmented In-Context Localization with Wireless Foundation Models
Guangjin Pan, Hui Chen, Hei Victor Cheng +1
Wireless localization is a fundamental capability of sixth-generation (6G) networks. Conventional model-based methods require accurate modeling of the propagation environment and d…
Survey-Free Radio Map Construction via HMM-Based Coarse-to-Fine Inference
Zheng Xing, Weibing Zhao, Guanghui Zhang +6
Traditional radio map construction methods mandate labor-intensive data collection and precise location labeling. To address these limitations, we propose a novel survey-free appro…
Active Inference-Enabled Agentic Closed-Loop ISAC with Long-Horizon Planning
Guangjin Pan, Zhuojun Tian, Mehdi Bennis +1
Wireless agentic systems enable agents to autonomously perceive, reason, and act. However, existing works neglect the tight coupling between sensing and control in closed-loop inte…
SL-FAC: A Communication-Efficient Split Learning Framework with Frequency-Aware Compression
Zehang Lin, Miao Yang, Haihan Zhu +9
The growing complexity of neural networks hinders the deployment of distributed machine learning on resource-constrained devices. Split learning (SL) offers a promising solution by…
A Retrieval-Assisted Framework for Wireless Localization
Haoyu Huang, Guangjin Pan, Kaixuan Huang +5
Accurate and robust wireless localization is a key enabler for a wide range of mobile computing applications. Fingerprint-based localization using channel state information (CSI) h…
Sidelink Positioning: Standardization Advancements, Challenges and Opportunities
Yuan Gao, Guangjin Pan, Zhiyong Zhong +4
With the integration of cellular networks in vertical industries that demand precise location information, such as vehicle-to-everything (V2X), public safety, and Industrial Intern…