8 citations · 26 across the 24 of their papers we have counts for
3 papers · 1 filter
Near-perfect Coverage Manifold Estimation in Cellular Networks via conditional GAN
Washim Uddin Mondal, Veni Goyal, Satish V. Ukkusuri +4
This paper presents a conditional generative adversarial network (cGAN) that translates base station location (BSL) information of any Region-of-Interest (RoI) to location-dependen…
Terrain-based Coverage Manifold Estimation: Machine Learning, Stochastic Geometry, or Simulation?
Ruibo Wang, Washim Uddin Mondal, Mustafa A. Kishk +2
Given the necessity of connecting the unconnected, covering blind spots has emerged as a critical task in the next-generation wireless communication network. A direct solution invo…
Deep Learning based Coverage and Rate Manifold Estimation in Cellular Networks
Washim Uddin Mondal, Praful D. Mankar, Goutam Das +2
This article proposes Convolutional Neural Network-based Auto Encoder (CNN-AE) to predict location-dependent rate and coverage probability of a network from its topology. We train…