Near-Perfect Coverage Manifold Estimation in Cellular Networks via Conditional GAN
Near-Perfect Coverage Manifold Estimation in Cellular Networks via Conditional GAN
This paper presents a conditional generative adversarial network (cGAN) that translates base station location (BSL) information of any Region-of-Interest (RoI) to location-dependent coverage probability values within a subset of that region, called the region-of-evaluation (RoE). We train our network utilizing the BSL data of India, the USA, Germany, and Brazil. …