Követés
Foad Sohrabi
Foad Sohrabi
Nokia Bell Labs
E-mail megerősítve itt: nokia-bell-labs.com
Cím
Hivatkozott rá
Hivatkozott rá
Év
Hybrid digital and analog beamforming design for large-scale antenna arrays
F Sohrabi, W Yu
IEEE Journal of Selected Topics in Signal Processing 10 (3), 501-513, 2016
14122016
Hybrid analog and digital beamforming for mmWave OFDM large-scale antenna arrays
F Sohrabi, W Yu
IEEE Journal on Selected Areas in Communications 35 (7), 1432-1443, 2017
4442017
Sparse activity detection for massive connectivity
Z Chen, F Sohrabi, W Yu
IEEE Transactions on Signal Processing 66 (7), 1890-1904, 2018
3602018
Hybrid digital and analog beamforming design for large-scale MIMO systems
F Sohrabi, W Yu
2015 IEEE International Conference on Acoustics, Speech and Signal …, 2015
1762015
Deep learning for distributed channel feedback and multiuser precoding in FDD massive MIMO
F Sohrabi, KM Attiah, W Yu
IEEE Transactions on Wireless Communications 20 (7), 4044-4057, 2021
1372021
Multi-cell sparse activity detection for massive random access: Massive MIMO versus cooperative MIMO
Z Chen, F Sohrabi, W Yu
IEEE transactions on wireless communications 18 (8), 4060-4074, 2019
1082019
Covariance based joint activity and data detection for massive random access with massive MIMO
Z Chen, F Sohrabi, YF Liu, W Yu
ICC 2019-2019 IEEE International Conference on Communications (ICC), 1-6, 2019
1062019
One-bit precoding and constellation range design for massive MIMO with QAM signaling
F Sohrabi, YF Liu, W Yu
IEEE Journal of Selected Topics in Signal Processing 12 (3), 557-570, 2018
982018
Hybrid beamforming with finite-resolution phase shifters for large-scale MIMO systems
F Sohrabi, W Yu
2015 IEEE 16th International Workshop on Signal Processing Advances in …, 2015
902015
Generalized approximate message passing for massive MIMO mmWave channel estimation with Laplacian prior
F Bellili, F Sohrabi, W Yu
IEEE transactions on communications 67 (5), 3205-3219, 2019
772019
Phase Transition Analysis for Covariance Based Massive Random Access with Massive MIMO
Z Chen, F Sohrabi, YF Liu, W Yu
IEEE Transactions on Information Theory 68 (3), 1696-1715, 2020
592020
Deep active learning approach to adaptive beamforming for mmWave initial alignment
F Sohrabi, Z Chen, W Yu
Journal on Selected Areas in Communications, 2347 - 2360, 2021
562021
Active sensing for communications by learning
F Sohrabi, T Jiang, W Cui, W Yu
IEEE Journal on Selected Areas in Communications 40 (6), 1780-1794, 2022
502022
Sparse activity detection in multi-cell massive MIMO exploiting channel large-scale fading
Z Chen, F Sohrabi, W Yu
IEEE Transactions on Signal Processing 69, 3768-3781, 2021
432021
Role of deep learning in wireless communications
W Yu, F Sohrabi, T Jiang
IEEE BITS the Information Theory Magazine 2 (2), 56-72, 2022
392022
Robust Symbol-Level Precoding via Autoencoder-based Deep Learning
F Sohrabi, HV Cheng, W Yu
352020
Deep learning for channel sensing and hybrid precoding in TDD massive MIMO OFDM systems
KM Attiah, F Sohrabi, W Yu
IEEE Transactions on Wireless Communications 21 (12), 10839-10853, 2022
332022
Hybrid analog and digital beamforming for OFDM-based large-scale MIMO systems
F Sohrabi, W Yu
2016 IEEE 17th International Workshop on Signal Processing Advances in …, 2016
312016
Deep learning approach to channel sensing and hybrid precoding for TDD massive MIMO systems
KM Attiah, F Sohrabi, W Yu
2020 IEEE Globecom Workshops (GC Wkshps, 1-6, 2020
252020
Construction of the RSRP map using sparse MDT measurements by regression clustering
F Sohrabi, E Kuehn
2017 IEEE international conference on communications (ICC), 1-6, 2017
242017
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