Massive MIMO Channel Estimation With an Untrained Deep Neural Network E Balevi, A Doshi, JG Andrews IEEE Transactions on Wireless Communications 19 (3), 2079-2090, 2020 | 155 | 2020 |
High dimensional channel estimation using deep generative networks E Balevi, A Doshi, A Jalal, A Dimakis, JG Andrews IEEE Journal on Selected Areas in Communications 39 (1), 18-30, 2020 | 64 | 2020 |
DeepWiPHY: Deep learning-based receiver design and dataset for IEEE 802.11 ax systems Y Zhang, A Doshi, R Liston, W Tan, X Zhu, JG Andrews, RW Heath IEEE Transactions on Wireless Communications 20 (3), 1596-1611, 2020 | 44 | 2020 |
A deep reinforcement learning framework for contention-based spectrum sharing A Doshi, S Yerramalli, L Ferrari, T Yoo, JG Andrews IEEE Journal on Selected Areas in Communications 39 (8), 2526-2540, 2021 | 32 | 2021 |
Temperature dependence of FMR and magnetization in nanocrystalline zinc ferrite thin films BN Sahu, AS Doshi, R Prabhu, N Venkataramani, S Prasad, R Krishnan AIP Advances 6 (5), 2016 | 14 | 2016 |
Compressed representation of high dimensional channels using deep generative networks A Doshi, E Balevi, JG Andrews 2020 IEEE 21st International Workshop on Signal Processing Advances in …, 2020 | 9 | 2020 |
Over-the-air design of GAN training for mmWave MIMO channel estimation AS Doshi, M Gupta, JG Andrews IEEE Journal on Selected Areas in Information Theory 3 (3), 557-573, 2022 | 7 | 2022 |
Deep stock predictions A Doshi, A Issa, P Sachdeva, S Rafati, S Rakshit arXiv preprint arXiv:2006.04992, 2020 | 6 | 2020 |
One-bit mmWave MIMO channel estimation using deep generative networks A Doshi, JG Andrews IEEE Wireless Communications Letters 12 (9), 1593-1597, 2023 | 5 | 2023 |
Distributed proximal policy optimization for contention-based spectrum access A Doshi, JG Andrews 2021 55th Asilomar Conference on Signals, Systems, and Computers, 340-344, 2021 | 4 | 2021 |
Transformer-Based Neural Surrogate for Link-Level Path Loss Prediction from Variable-Sized Maps TM Hehn, T Orekondy, O Shental, A Behboodi, J Bucheli, A Doshi, ... GLOBECOM 2023-2023 IEEE Global Communications Conference, 4804-4809, 2023 | 2 | 2023 |
Combining Contention-Based Spectrum Access and Adaptive Modulation using Deep Reinforcement Learning A Doshi, JG Andrews 2022 56th Asilomar Conference on Signals, Systems, and Computers, 189-193, 2022 | 2* | 2022 |
DeepWiPHY: Synthetic and real-world IEEE 802.11 ax OFDM symbol dataset Y Zhang, A Doshi, R Liston, W Tan, X Zhu, JG Andrews, RW Heath IEEE Dataport, 2020 | 2 | 2020 |
Radio DIP-Completing Radio Maps using Deep Image Prior A Doshi, J Namgoong, T Yoo GLOBECOM 2023-2023 IEEE Global Communications Conference, 1543-1548, 2023 | 1 | 2023 |
Evaluation of Adaptation Methods for Deep Learning-based Wi-Fi Receivers W Blount, K Li, A Lotlikar, A Doshi, JG Andrews 2022 IEEE Wireless Communications and Networking Conference (WCNC), 656-661, 2022 | 1 | 2022 |
Improved Data Fusion for Multi-Sensor Tracking using a Reinforced Viterbi Algorithm R Biswas, AS Doshi, A Bhatta, SRB Pillai 2019 National Conference on Communications (NCC), 1-6, 2019 | 1 | 2019 |
Multi-stage Markov decision process (MDP) model for a spectrum sharing system AS Doshi, S Yerramalli, L Ferrari, T Yoo US Patent 11,974,138, 2024 | | 2024 |
Spectrum sharing with deep reinforcement learning (RL) AS Doshi, S Yerramalli, L Ferrari, T Yoo US Patent 11,968,541, 2024 | | 2024 |
A deep learning approach to wireless system design for channel sensing, contention & estimation AS Doshi | | 2022 |
2022 Index IEEE Journal on Selected Areas in Information Theory Vol. 3 MA Abd-Elmagid, A Adler, R Ahmad, V Anantharam, JG Andrews, ... Adler 98, 112, 0 | | |