1 citations · 2 across the 14 of their papers we have counts for
15 papers
GDPR-Aware Trajectory Sharing for ISAC-Assisted Robot Navigation: A Case Study on FID-Constrained Collision Prediction
Zexin Fang, Bin Han, Donglin Wang +2
Integrated sensing and communication (ISAC) enables intelligent wireless infrastructure but raises growing regulatory concern as fine-grained personal trajectory histories become a…
SwarmDrive: Semantic V2V Coordination for Latency-Constrained Cooperative Autonomous Driving
Anjie Qiu, Donglin Wang, Zexin Fang +2
Cloud-hosted LLM inference for autonomous driving adds round-trip delay and depends on stable connectivity, while purely local edge models struggle under occlusion. We present Swar…
The Price of Ignorance: Information-Free Quotation for Data Retention in Machine Unlearning
Bin Han, Di Feng, Zexin Fang +2
When users exercise data deletion rights under the General Data Protection Regulation (GDPR) and similar regulations, mobile network operators face a tradeoff: excessive machine un…
Quality-Aware Denoising of Ultra-Short TDoA Measurements for 5G-NR UAV Localization
Zexin Fang, Bin Han, Anjie Qiu +2
Reliable positioning is essential for Uncrewed Aerial Vehicles (UAVs) in safety-critical urban operations, yet achieving sub-meter accuracy under stringent latency constraints rema…
Balancing Functionality and GDPR-Driven Privacy in ISAC Trajectory Sharing
Zexin Fang, Bin Han, Zhuojun Tian +1
Integrated Sensing and Communications (ISAC) enables trajectory sharing that enhances beamforming, resource allocation, and cooperative perception, yet raises fundamental privacy c…
Network-Centric Anomaly Filtering and Spoofer localization for 5G-NR Localization in LAWNs
Zexin Fang, Bin Han, Zhu Han +3
This paper investigates security vulnerabilities and countermeasures for the 3rd Generation Partnership Project (3GPP) Fifth Generation New Radio (5G-NR) Time Difference of Arrival…
Lightweight Node Selection in Hexagonal Grid Topology for TDoA-Based UAV Localization
Zexin Fang, Bin Han, Wenwen Chen +1
This paper investigates the optimization problem for TDoA-based UAV localization in low-altitude urban environments with hexagonal grid node deployment. We derive a lightweight opt…
Is ASMR Engineerable? A Signal Processing and User Experience Study
Zexin Fang, Bin Han, Henrik H. Sveen +2
Autonomous Sensory Meridian Response (ASMR) has been remarkably popular in the recent decade, yet whether its effects can be deliberately engineered remains an open question. While…
Quotation-Based Data Retention Mechanism for Data Privacy in LLM-Empowered Network Services
Bin Han, Di Feng, Zexin Fang +2
The deployment of large language models (LLMs) for next-generation network optimization introduces novel data governance challenges. mobile network operators (MNOs) increasingly le…
Unauthorized Radio Sensing and Privacy Risks: A Sampling Error-Based Defense
Zexin Fang, Bin Han, Wenwen Chen +1
Unauthorized sensing activities pose an increasing threat to individual privacy, yet effective countermeasures remain underdeveloped. This paper presents a novel methodology to cha…
A Robust UAV-Based Approach for Power-Modulated Jammer Localization Using DoA
Zexin Fang, Bin Han, Hans D. Schotten
Unmanned aerial vehicles (UAVs) are well-suited to localize jammers, particularly when jammers are at non-terrestrial locations, where conventional detection methods face challenge…
Robust Federated Learning for Wireless Networks: A Demonstration with Channel Estimation
Zexin Fang, Bin Han, Hans D. Schotten
Federated learning (FL) offers a privacy-preserving collaborative approach for training models in wireless networks, with channel estimation emerging as a promising application. De…
Trustworthy UAV Cooperative Localization: Information Analysis of Performance and Security
Zexin Fang, Bin Han, Hans D. Schotten
This paper presents a trustworthy framework for achieving accurate cooperative localization in multiple unmanned aerial vehicle (UAV) systems. The The Cramer-Rao Lower Bound (CRLB)…
A Reliable and Resilient Framework for Multi-UAV Mutual Localization
Zexin Fang, Bin Han, Hans D. Schotten
This paper presents a robust and secure framework for achieving accurate and reliable mutual localization in multiple unmanned aerial vehicle (UAV) systems. Challenges of accurate…
Artificial ASMR: A Cyber-Psychological Approach
Zexin Fang, Bin Han, C. Clark Cao +1
The popularity of Autonomous Sensory Meridian Response (ASMR) has skyrockted over the past decade, but scientific studies on what exactly triggered ASMR effect remain few and immat…