44 citations · 52 across the 7 of their papers we have counts for
9 papers
One-bit mmWave MIMO Channel Estimation using Deep Generative Networks
Akash Doshi, Jeffrey G. Andrews
As future wireless systems trend towards higher carrier frequencies and large antenna arrays, receivers with one-bit analog-to-digital converters (ADCs) are being explored owing to…
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…
Distributed Proximal Policy Optimization for Contention-Based Spectrum Access
Akash Doshi, Jeffrey G. Andrews
The increasing number of wireless devices operating in unlicensed spectrum motivates the development of intelligent adaptive approaches to spectrum access that go beyond traditiona…
A Deep Reinforcement Learning Framework for Contention-Based Spectrum Sharing
Akash Doshi, Srinivas Yerramalli, Lorenzo Ferrari +2
The increasing number of wireless devices operating in unlicensed spectrum motivates the development of intelligent adaptive approaches to spectrum access. We consider decentralize…
Combining Contention-Based Spectrum Access and Adaptive Modulation using Deep Reinforcement Learning
Akash Doshi, Jeffrey G. Andrews
The use of unlicensed spectrum for cellular systems to mitigate spectrum scarcity has led to the development of intelligent adaptive approaches to spectrum access that improve upon…
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…