This paper proposes a unified RF map construction framework using physics-informed neural networks and graph neural networks, achieving high-fidelity RF map construction under sparse observations.

This paper presents a portable, battery-powered RF capture system using a HackRF One SDR, Raspberry Pi 5, GNSS receiver, and high-speed storage for recording geotagged IQ data in real-world environmen…

This paper proposes a multi-user PA-enabled EDMA framework to maximize total information rate in the presence of probabilistic LoS blockages, random NLoS scattering, and practical inwaveguide attenuat…

The paper introduces PINSIGHT, a novel methodology that rigorously assesses Wi-Fi PIN code inference attacks by separating environmental effects from typing effects, concluding that current state-of-t…

This paper proposes a hybrid TRP-UE sensing mechanism for Integrated Sensing and Communication (ISAC) systems to improve network-based sensing performance in challenging indoor factory environments.

This paper proposes a physical layer authentication mechanism using integrated sensing and communication (ISAC) to reconstruct environment layout, infer propagation channels, and authenticate transmit…

The paper proposes StormShield, a fingerprint-based detection and mitigation technique implemented as an xApp on an O-RAN RIC, which effectively prevents gNB resource exhaustion caused by RRC signalin…

This paper proposes a Game-Theory-Integrated framework (GTI-mSEMP) to analyze dynamic malware propagation in heterogeneous cyber-physical networks.

This paper analyzes the near-field to far-field transition for an elevated access point with downward tilt, showing that it can occur more than once along a user's ground path, leading to an unexpecte…

The paper proposes GUIDE, a physics-guided deep unfolding framework that enables practical, real-time cross-band channel prediction for AI-RAN by embedding wireless channel physics, significantly impr…

This paper evaluates user-perceived performance and QoE of wireless networks at Notre Dame Stadium during football games using commercial smartphones for web browsing, WhatsApp messaging, and Instagra…

This paper proposes a generative AI framework using a cGAN for proactive interference mitigation in ultra-dense indoor networks, achieving significant SINR gain, packet-loss reduction, and CSI oracle…

This paper outlines research on obtaining accurate propagation models for implant communication in Body Area Networks (BANs) using computer simulations, and presents current research on enhancing chan…

The paper proposes a standardized, zonal architecture and an open-source prototype for a dedicated Cyber Range (CR) specifically designed for comprehensive and repeatable Wi-Fi security training and e…

This survey examines explainable AI (XAI) in wireless PHY layers, formalizing goals, taxonomy, and applications.

This paper tests the impact of acoustic factors on voice control systems and introduces a Dual-Form Signal to Noise Ratio to decouple source stealth from attack efficacy.

PropLLM introduces a novel propagation-aware framework that uses LLMs and hop-by-hop scene reconstruction to accurately localize root causes and determine fault types in complex network fault diagnosi…