A 3D conditional GAN infers channel gain maps for new base station locations in a simulated urban environment, lowering mean squared error by about 35 dB² versus inverse distance weighting.
Accessing from the sky: A tutorial on UA V communications for 5G and beyond,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
eess.SP 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Supporting Urban Low-Altitude Economy: Channel Gain Map Inference Based on 3D Conditional GAN
A 3D conditional GAN infers channel gain maps for new base station locations in a simulated urban environment, lowering mean squared error by about 35 dB² versus inverse distance weighting.