3 papers
cs.IT2024
Spatially Consistent Air-to-Ground Channel Modeling via Generative Neural Networks
Amedeo Giuliani, Rasoul Nikbakht, Giovanni Geraci +3
This article proposes a generative neural network architecture for spatially consistent air-to-ground channel modeling. The approach considers the trajectories of uncrewed aerial v…
cs.RO2022
Wireless Channel Prediction in Partially Observed Environments
Mingsheng Yin, Yaqi Hu, Tommy Azzino +3
Site-specific radio frequency (RF) propagation prediction increasingly relies on models built from visual data such as cameras and LIDAR sensors. When operating in dynamic settings…
eess.SP2022
Understanding Energy Efficiency and Interference Tolerance in Millimeter Wave Receivers
Panagiotis Skrimponis, Seongjoon Kang, Abbas Khalili +7
Power consumption is a key challenge in millimeter wave (mmWave) receiver front-ends, due to the need to support high dimensional antenna arrays at wide bandwidths. Recently, there…