Akash S. Doshi

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 21

Top Topics

Channel Estimation

Reinforcement Learning

Top Venues

IEEE J. Sel. Areas Commun.

IEEE Trans. Wirel. Commun.

Publications

Akash S. Doshi, Jeffrey G. Andrews
One-Bit mmWave MIMO Channel Estimation Using Deep Generative Networks. IEEE Wirel. Commun. Lett. 12 (9) (2023)
Thomas M. Hehn, Tribhuvanesh Orekondy, Ori Shental, Arash Behboodi, Juan Bucheli, Akash S. Doshi, June Namgoong, Taesang Yoo, Ashwin Sampath, Joseph B. Soriaga
Transformer-Based Neural Surrogate for Link-Level Path Loss Prediction from Variable-Sized Maps. GLOBECOM (2023)
Thomas M. Hehn, Tribhuvanesh Orekondy, Ori Shental, Arash Behboodi, Juan Bucheli, Akash S. Doshi, June Namgoong, Taesang Yoo, Ashwin Sampath, Joseph B. Soriaga
Transformer-Based Neural Surrogate for Link-Level Path Loss Prediction from Variable-Sized Maps. CoRR (2023)
Akash S. Doshi, June Namgoong, Taesang Yoo
Radio DIP - Completing Radio Maps using Deep Image Prior. GLOBECOM (2023)
Akash S. Doshi, Manan Gupta, Jeffrey G. Andrews
Over-the-Air Design of GAN Training for mmWave MIMO Channel Estimation. CoRR (2022)
Akash S. Doshi, Jeffrey G. Andrews
One-bit mmWave MIMO Channel Estimation using Deep Generative Networks. CoRR (2022)
William Blount, Kris Li, Amrith Lotlikar, Akash S. Doshi, Jeffrey G. Andrews
Evaluation of Adaptation Methods for Deep Learning-based Wi-Fi Receivers. WCNC (2022)
Akash S. Doshi, Jeffrey G. Andrews
Combining Contention-Based Spectrum Access and Adaptive Modulation using Deep Reinforcement Learning. IEEECONF (2022)
Akash S. Doshi, Manan Gupta, Jeffrey G. Andrews
Over-the-Air Design of GAN Training for mmWave MIMO Channel Estimation. IEEE J. Sel. Areas Inf. Theory 3 (3) (2022)
Akash S. Doshi, Srinivas Yerramalli, Lorenzo Ferrari, Taesang Yoo, Jeffrey G. Andrews
A Deep Reinforcement Learning Framework for Contention-Based Spectrum Sharing. CoRR (2021)
Akash S. Doshi, Jeffrey G. Andrews
Distributed Deep Reinforcement Learning for Adaptive Medium Access and Modulation in Shared Spectrum. CoRR (2021)
Akash S. Doshi, Srinivas Yerramalli, Lorenzo Ferrari, Taesang Yoo, Jeffrey G. Andrews
A Deep Reinforcement Learning Framework for Contention-Based Spectrum Sharing. IEEE J. Sel. Areas Commun. 39 (8) (2021)
Akash S. Doshi, Jeffrey G. Andrews
Distributed Proximal Policy Optimization for Contention-Based Spectrum Access. CoRR (2021)
Akash S. Doshi, Jeffrey G. Andrews
Distributed Proximal Policy Optimization for Contention-Based Spectrum Access. ACSCC (2021)
Eren Balevi, Akash S. Doshi, Ajil Jalal, Alexandros G. Dimakis, Jeffrey G. Andrews
High Dimensional Channel Estimation Using Deep Generative Networks. IEEE J. Sel. Areas Commun. 39 (1) (2021)
Yi Zhang, Akash S. Doshi, Rob Liston, Wai-Tian Tan, Xiaoqing Zhu, Jeffrey G. Andrews, Robert W. Heath Jr.
DeepWiPHY: Deep Learning-Based Receiver Design and Dataset for IEEE 802.11ax Systems. IEEE Trans. Wirel. Commun. 20 (3) (2021)
Eren Balevi, Akash S. Doshi, Jeffrey G. Andrews
Massive MIMO Channel Estimation With an Untrained Deep Neural Network. IEEE Trans. Wirel. Commun. 19 (3) (2020)
Yi Zhang, Akash S. Doshi, Rob Liston, Wai-tian Tan, Xiaoqing Zhu, Jeffrey G. Andrews, Robert W. Heath Jr.
DeepWiPHY: Deep Learning-based Receiver Design and Dataset for IEEE 802.11ax Systems. CoRR (2020)
Akash S. Doshi, Eren Balevi, Jeffrey G. Andrews
Compressed Representation of High Dimensional Channels using Deep Generative Networks. SPAWC (2020)
Akash S. Doshi, Alexander Issa, Puneet Sachdeva, Sina Rafati, Somnath Rakshit
Deep Stock Predictions. CoRR (2020)
Rajarshi Biswas, Akash S. Doshi, Akankshya Bhatta, Sibi Raj B. Pillai
Improved Data Fusion for Multi-Sensor Tracking using a Reinforced Viterbi Algorithm. NCC (2019)