2 papers
cs.NI2026
Reading the Sky to Forecast the Ground: Physics-Informed Link-State Forecasting for LEO Networks at Any Location
Yunxiang Chi, Zhenlin An, Longfei Shangguan +1
In this paper, we introduce Gnomon, a physics-informed system that forecasts user-perceived low-Earth-orbit (LEO) downlink throughput, uplink throughput, and round-trip time (RTT)…
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…