1 citations · 1 across the 4 of their papers we have counts for
4 papers
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)…
CCA Reimagined: An Exploratory Study of Large Language Models for Congestion Control
Xiaoxuan Qin, Yufei Wang, Longfei Shangguan
In this paper, we conduct an emulation-guided study to systematically investigate the feasibility of Large language model (LLM)-driven congestion control. The exploration is struct…
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…
CurvingLoRa to Boost LoRa Network Capacity via Concurrent Transmission
Chenning Li, Xiuzhen Guo, Longfei Shangguan +2
LoRaWAN has emerged as an appealing technology to connect IoT devices but it functions without explicit coordination among transmitters, which can lead to many packet collisions as…