Akash S. Doshi

According to our database, Akash S. Doshi authored at least 16 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

One-Bit mmWave MIMO Channel Estimation Using Deep Generative Networks.

Akash S. Doshi, Jeffrey G. Andrews

IEEE Wirel. Commun. Lett., September, 2023

Transformer-Based Neural Surrogate for Link-Level Path Loss Prediction from Variable-Sized Maps.

Thomas M. Hehn, Tribhuvanesh Orekondy, Ori Shental, Arash Behboodi, Juan Bucheli, Akash S. Doshi, June Namgoong, Taesang Yoo, Ashwin Sampath, Joseph B. Soriaga

Proceedings of the IEEE Global Communications Conference, 2023

Radio DIP - Completing Radio Maps using Deep Image Prior.

Akash S. Doshi, June Namgoong, Taesang Yoo

Proceedings of the IEEE Global Communications Conference, 2023

2022

Over-the-Air Design of GAN Training for mmWave MIMO Channel Estimation.

Akash S. Doshi, Manan Gupta, Jeffrey G. Andrews

IEEE J. Sel. Areas Inf. Theory, September, 2022

Evaluation of Adaptation Methods for Deep Learning-based Wi-Fi Receivers.

William Blount, Kris Li, Amrith Lotlikar, Akash S. Doshi, Jeffrey G. Andrews

Proceedings of the IEEE Wireless Communications and Networking Conference, 2022

Combining Contention-Based Spectrum Access and Adaptive Modulation using Deep Reinforcement Learning.

Akash S. Doshi, Jeffrey G. Andrews

Proceedings of the 56th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2022, Pacific Grove, CA, USA, October 31, 2022

2021

DeepWiPHY: Deep Learning-Based Receiver Design and Dataset for IEEE 802.11ax Systems.

Yi Zhang, Akash S. Doshi, Rob Liston, Wai-Tian Tan, Xiaoqing Zhu, Jeffrey G. Andrews, Robert W. Heath Jr.

IEEE Trans. Wirel. Commun., 2021

A Deep Reinforcement Learning Framework for Contention-Based Spectrum Sharing.

Akash S. Doshi, Srinivas Yerramalli, Lorenzo Ferrari, Taesang Yoo, Jeffrey G. Andrews

IEEE J. Sel. Areas Commun., 2021

High Dimensional Channel Estimation Using Deep Generative Networks.

Eren Balevi, Akash S. Doshi, Ajil Jalal, Alexandros G. Dimakis, Jeffrey G. Andrews

IEEE J. Sel. Areas Commun., 2021

Distributed Deep Reinforcement Learning for Adaptive Medium Access and Modulation in Shared Spectrum.

Akash S. Doshi, Jeffrey G. Andrews

CoRR, 2021

Distributed Proximal Policy Optimization for Contention-Based Spectrum Access.

Akash S. Doshi, Jeffrey G. Andrews

Proceedings of the 55th Asilomar Conference on Signals, Systems, and Computers, 2021

2020

DeepWiPHY: Synthetic and real-world IEEE 802.11ax OFDM symbol dataset.

Yi Zhang, Akash S. Doshi, Rob Liston, Wai-tian Tan, Xiaoqing Zhu, Jeffrey G. Andrews, Robert W. Heath Jr.

Dataset, October, 2020

Massive MIMO Channel Estimation With an Untrained Deep Neural Network.

Eren Balevi, Akash S. Doshi, Jeffrey G. Andrews

IEEE Trans. Wirel. Commun., 2020

Deep Stock Predictions.

Akash S. Doshi, Alexander Issa, Puneet Sachdeva, Sina Rafati, Somnath Rakshit

CoRR, 2020

Compressed Representation of High Dimensional Channels using Deep Generative Networks.

Akash S. Doshi, Eren Balevi, Jeffrey G. Andrews

Proceedings of the 21st IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2020

2019

Improved Data Fusion for Multi-Sensor Tracking using a Reinforced Viterbi Algorithm.

Rajarshi Biswas, Akash S. Doshi, Akankshya Bhatta, Sibi Raj B. Pillai

Proceedings of the National Conference on Communications, 2019