collaborators

8 papers

eess.SP2026

A Computationally Efficient Reciprocal Effective Roughness Model for Diffuse Scattering

Giacomo Melloni, Enrico M. Vitucci, Vittorio Degli Esposti +4

Ray-tracing (RT) has become central to site-specific electromagnetic propagation modeling in dynamic complex environments. Yet its computational burden grows sharply as high-fideli…

eess.SP2026

Super-Resolution Experimental Validation and Polarimetric Extension of the Effective Roughness Diffuse Scattering Models

Giacomo Melloni, Jack Chuang, Samuel Berweger +4

The experimental validation of diffuse scattering models has long been limited by the inability to spatially separate specular and diffuse contributions in measured channels. This…

cs.IT2026

Multi-TRP Assisted UAV Detection in 3GPP 5G-Advanced ISAC Network

Neeraj Varshney, Steve Blandino, Jian Wang +3

ISAC is currently being standardized within the 3GPP New Radio (NR) to enable cellular infrastructure to perform sensing using existing communication waveforms. While standardizati…

eess.SP2026

Evaluation of gNB Monostatic Sensing for UAV Use Case

Steve Blandino, Neeraj Varshney, Jian Wang +3

3GPP Release 19 has initiated the standardization of integrated sensing and communications (ISAC), including a channel model for monostatic sensing, evaluation scenarios, and perfo…

cs.ET2026

Semantically Annotated Multimodal Dataset for RF Interpretation and Prediction

Steve Blandino, Jelena Senic, Raied Caromi +4

Current limitations in wireless modeling and radio frequency (RF)-based AI are primarily driven by a lack of high-quality, measurement-based datasets that connect RF signals to the…

cs.CV2026

Taming Vision Priors for Data Efficient mmWave Channel Modeling

Zhenlin An, Longfei Shangguan, John Kaewell +5

Accurately modeling millimeter-wave (mmWave) propagation is essential for real-time AR and autonomous systems. Differentiable ray tracing offers a physics-grounded solution but sti…