Deep channel learning for large intelligent surfaces aided mm-wave massive MIMO systems AM Elbir, A Papazafeiropoulos, P Kourtessis, S Chatzinotas IEEE Wireless Communications Letters 9 (9), 1447-1451, 2020 | 222 | 2020 |
Federated Learning in Vehicular Networks AM Elbir, B Soner, S Coleri, D Gunduz, M Bennis 2022 IEEE International Mediterranean Conference on Communications and …, 2022 | 181 | 2022 |
Joint Antenna Selection and Hybrid Beamformer Design using Unquantized and Quantized Deep Learning Networks AM Elbir, KV Mishra IEEE Transactions on Wireless Communications 19 (3), 1677-1688, 2020 | 154 | 2020 |
Hybrid Precoding for Multi-User Millimeter Wave Massive MIMO Systems: A Deep Learning Approach AM Elbir, A Papazafeiropoulos IEEE Transactions on Vehicular Technology 69 (1), 552-563, 2020 | 151 | 2020 |
DeepMUSIC: Multiple signal classification via deep learning AM Elbir IEEE Sensors Letters 4 (4), 1-4, 2020 | 141 | 2020 |
CNN-based Precoder and Combiner Design in mmWave MIMO Systems AM Elbir IEEE Communications Letters 23 (7), 1240-1243, 2019 | 138 | 2019 |
Federated learning for channel estimation in conventional and RIS-assisted massive MIMO AM Elbir, S Coleri IEEE Transactions on Wireless Communications 21 (6), 4255 - 4268, 2022 | 131 | 2022 |
Cognitive radar antenna selection via deep learning AM Elbir, KV Mishra, YC Eldar IET Radar, Sonar & Navigation 13 (6), 871-880, 2019 | 119 | 2019 |
Terahertz-Band Joint Ultra-Massive MIMO Radar-Communications: Model-Based and Model-Free Hybrid Beamforming AM Elbir, KV Mishra, S Chatzinotas IEEE Journal of Selected Topics in Signal Processing 15 (6), 1468-1483, 2021 | 109 | 2021 |
Federated learning for hybrid beamforming in mm-wave massive MIMO AM Elbir, S Coleri IEEE Communications Letters 24 (12), 2795-2799, 2020 | 74 | 2020 |
Direction finding in the presence of direction-dependent mutual coupling AM Elbir IEEE Antennas and Wireless Propagation Letters 16, 1541-1544, 2017 | 64 | 2017 |
Machine learning for metasurfaces design and their applications K Vijay Mishra, AM Elbir, AI Zaghloul Advances in Electromagnetics Empowered by Artificial Intelligence and Deep …, 2023 | 60* | 2023 |
A family of deep learning architectures for channel estimation and hybrid beamforming in multi-carrier mm-wave massive MIMO AM Elbir, KV Mishra, MRB Shankar, B Ottersten IEEE Transactions on Cognitive Communications and Networking 8 (2), 642 - 656, 2022 | 59* | 2022 |
Twenty-five years of advances in beamforming: From convex and nonconvex optimization to learning techniques AM Elbir, KV Mishra, SA Vorobyov, RW Heath IEEE Signal Processing Magazine 40 (4), 118-131, 2023 | 57 | 2023 |
The rise of intelligent reflecting surfaces in integrated sensing and communications paradigms AM Elbir, KV Mishra, MRB Shankar, S Chatzinotas IEEE Network 37 (6), 224-231, 2022 | 55 | 2022 |
Coverage probability of distributed IRS systems under spatially correlated channels A Papazafeiropoulos, C Pan, A Elbir, P Kourtessis, S Chatzinotas, ... IEEE Wireless Communications Letters 10 (8), 1722-1726, 2021 | 47 | 2021 |
Terahertz-band integrated sensing and communications: Challenges and opportunities AM Elbir, KV Mishra, S Chatzinotas, M Bennis arXiv preprint arXiv:2208.01235, 2022 | 38 | 2022 |
A Deep Learning Framework for Hybrid Beamforming Without Instantaneous CSI Feedback AM Elbir IEEE Transactions on Vehicular Technology 69 (10), 11743-11755, 2020 | 37 | 2020 |
Federated Learning for Physical Layer Design AM Elbir, AK Papazafeiropoulos, S Chatzinotas IEEE Communications Magazine 59 (11), 81 - 87, 2021 | 30 | 2021 |
Sparse Array Selection Across Arbitrary Sensor Geometries with Deep Transfer Learning AM Elbir, KV Mishra IEEE Transactions on Cognitive Communications and Networking 7 (1), 255-264, 2021 | 28 | 2021 |