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eess.SP2026

HoloTrace: a Location Privacy-Preserving Framework for mmWave MIMO-OFDM Systems

Lorenzo Italiano, Alireza Pourafzal, Hui Chen +4

The paper proposes HoloTrace, a framework that lets user devices spoof location-related signal parameters in mmWave MIMO‑OFDM systems to prevent base stations from accurately estim…

eess.SP2026

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…

eess.SP2026

From Pilot to Precoding Design: Blind Angular Spoofing For Location Privacy in MIMO Systems

Priyanka Maity, Lorenzo Italiano, Alireza Pourafzal +4

This paper studies location privacy in uplink MIMO systems, where a user equipment seeks to spoof the angular signature observed by a single base station performing localization. W…

eess.SP2025

Active Inference Framework for Closed-Loop Sensing, Communication, and Control in UAV Systems

Guangjin Pan, Liping Bai, Zhuojun Tian +3

Integrated sensing and communication (ISAC) is a core technology for 6G, and its application to closed-loop sensing, communication, and control (SCC) enables various services. Exis…

eess.SP2025

Large Wireless Localization Model (LWLM): A Foundation Model for Positioning in 6G Networks

Guangjin Pan, Kaixuan Huang, Hui Chen +3

Accurate and robust localization is a critical enabler for emerging 5G and 6G applications, including autonomous driving, extended reality (XR), and smart manufacturing. While data…