44 citations · 46 across the 3 of their papers we have counts for
4 papers · 1 filter
Over-the-Air Design of GAN Training for mmWave MIMO Channel Estimation
Akash Doshi, Manan Gupta, Jeffrey G. Andrews
Future wireless systems are trending towards higher carrier frequencies that offer larger communication bandwidth but necessitate the use of large antenna arrays. Existing signal p…
DeepWiPHY: Deep Learning-based Receiver Design and Dataset for IEEE 802.11ax Systems
Yi Zhang, Akash Doshi, Rob Liston +4
In this work, we develop DeepWiPHY, a deep learning-based architecture to replace the channel estimation, common phase error (CPE) correction, sampling rate offset (SRO) correction…
High Dimensional Channel Estimation Using Deep Generative Networks
Eren Balevi, Akash Doshi, Ajil Jalal +2
This paper presents a novel compressed sensing (CS) approach to high dimensional wireless channel estimation by optimizing the input to a deep generative network. Channel estimatio…
Massive MIMO Channel Estimation with an Untrained Deep Neural Network
Eren Balevi, Akash Doshi, Jeffrey G. Andrews
This paper proposes a deep learning-based channel estimation method for multi-cell interference-limited massive MIMO systems, in which base stations equipped with a large number of…