6 papers
Deep Reinforcement Learning for 6G AI-RAN: A Comprehensive Survey
Jie Lu, Peihao Yan, Qijun Wang +2
The evolution toward sixth-generation (6G) networks is transforming the radio access network (RAN) into a programmable and intelligent control platform that must continuously adapt…
RadKey: An LLM-Guided RF Backscatter System for Through-Wall Keystroke Inference
Qijun Wang, Chunqi Qian, Huacheng Zeng
In today's digitally connected world, keyboards remain the primary interface for inputting sensitive information, making them a persistent target for eavesdropping attacks. While p…
TARMM: Scaling Delay-Critical Edge AI Offloading in 5G O-RAN via Temporal Graph Mobility Management
Peihao Yan, Yun Chen, Jie Lu +2
Emerging delay-critical edge AI applications, such as VR perception and real-time video analytics, impose stringent latency and reliability requirements on 5G networks. However, ex…
RadEar: A Self-Supervised RF Backscatter System for Voice Eavesdropping and Separation
Qijun Wang, Peihao Yan, Chunqi Qian +1
Eavesdropping on voice conversations presents a growing threat to personal privacy and information security. In this paper, we present RadEar, a novel RF backscatter-based system d…
Integrating Health Sensing into Cellular Networks: Human Sleep Monitoring Using 5G Signals
Ruxin Lin, Peihao Yan, Jie Lu +2
Cellular networks offer a unique opportunity to enable device-free and wide-area health monitoring by exploiting the sensitivity of radio-frequency (RF) propagation to human physio…
ChatTracer: Large Language Model Powered Real-time Bluetooth Device Tracking System
Qijun Wang, Shichen Zhang, Kunzhe Song +1
Large language models (LLMs) have transformed the way we interact with cyber technologies. In this paper, we study the possibility of connecting LLM with wireless sensor networks (…