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Akash S. Doshi
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2020 – today
- 2023
- [j6]Akash S. Doshi, Jeffrey G. Andrews:
One-Bit mmWave MIMO Channel Estimation Using Deep Generative Networks. IEEE Wirel. Commun. Lett. 12(9): 1593-1597 (2023) - [c7]Akash S. Doshi, June Namgoong, Taesang Yoo:
Radio DIP - Completing Radio Maps using Deep Image Prior. GLOBECOM 2023: 1543-1548 - [c6]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: 4804-4809 - [i8]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 abs/2310.04570 (2023) - 2022
- [j5]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): 557-573 (2022) - [c5]Akash S. Doshi, Jeffrey G. Andrews:
Combining Contention-Based Spectrum Access and Adaptive Modulation using Deep Reinforcement Learning. IEEECONF 2022: 189-193 - [c4]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: 656-661 - [i7]Akash S. Doshi, Manan Gupta, Jeffrey G. Andrews:
Over-the-Air Design of GAN Training for mmWave MIMO Channel Estimation. CoRR abs/2205.12445 (2022) - [i6]Akash S. Doshi, Jeffrey G. Andrews:
One-bit mmWave MIMO Channel Estimation using Deep Generative Networks. CoRR abs/2211.08635 (2022) - 2021
- [j4]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): 18-30 (2021) - [j3]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): 2526-2540 (2021) - [j2]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): 1596-1611 (2021) - [c3]Akash S. Doshi, Jeffrey G. Andrews:
Distributed Proximal Policy Optimization for Contention-Based Spectrum Access. ACSCC 2021: 340-344 - [i5]Akash S. Doshi, Jeffrey G. Andrews:
Distributed Deep Reinforcement Learning for Adaptive Medium Access and Modulation in Shared Spectrum. CoRR abs/2109.11723 (2021) - [i4]Akash S. Doshi, Srinivas Yerramalli, Lorenzo Ferrari, Taesang Yoo, Jeffrey G. Andrews:
A Deep Reinforcement Learning Framework for Contention-Based Spectrum Sharing. CoRR abs/2110.02736 (2021) - [i3]Akash S. Doshi, Jeffrey G. Andrews:
Distributed Proximal Policy Optimization for Contention-Based Spectrum Access. CoRR abs/2111.09420 (2021) - 2020
- [j1]Eren Balevi, Akash S. Doshi, Jeffrey G. Andrews:
Massive MIMO Channel Estimation With an Untrained Deep Neural Network. IEEE Trans. Wirel. Commun. 19(3): 2079-2090 (2020) - [c2]Akash S. Doshi, Eren Balevi, Jeffrey G. Andrews:
Compressed Representation of High Dimensional Channels using Deep Generative Networks. SPAWC 2020: 1-5 - [d1]Yi Zhang, Akash S. Doshi, Rob Liston, Wai-tian Tan, Xiaoqing Zhu, Jeffrey G. Andrews, Robert W. Heath Jr.:
DeepWiPHY: Synthetic and real-world IEEE 802.11ax OFDM symbol dataset. IEEE DataPort, 2020 - [i2]Akash S. Doshi, Alexander Issa, Puneet Sachdeva, Sina Rafati, Somnath Rakshit:
Deep Stock Predictions. CoRR abs/2006.04992 (2020) - [i1]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 abs/2010.09268 (2020)
2010 – 2019
- 2019
- [c1]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: 1-6
Coauthor Index
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