Channel estimation and hybrid precoding for millimeter wave cellular systems A Alkhateeb, O El Ayach, G Leus, RW Heath IEEE journal of selected topics in signal processing 8 (5), 831-846, 2014 | 2586 | 2014 |
Wireless communications and applications above 100 GHz: Opportunities and challenges for 6G and beyond TS Rappaport, Y Xing, O Kanhere, S Ju, A Madanayake, S Mandal, ... IEEE access 7, 78729-78757, 2019 | 1887 | 2019 |
Limited feedback hybrid precoding for multi-user millimeter wave systems A Alkhateeb, G Leus, RW Heath IEEE transactions on wireless communications 14 (11), 6481-6494, 2015 | 1263 | 2015 |
Hybrid MIMO architectures for millimeter wave communications: Phase shifters or switches? R Méndez-Rial, C Rusu, N González-Prelcic, A Alkhateeb, RW Heath IEEE access 4, 247-267, 2016 | 896 | 2016 |
Modeling and analyzing millimeter wave cellular systems JG Andrews, T Bai, MN Kulkarni, A Alkhateeb, AK Gupta, RW Heath IEEE Transactions on Communications 65 (1), 403-430, 2016 | 859 | 2016 |
MIMO precoding and combining solutions for millimeter-wave systems A Alkhateeb, J Mo, N Gonzalez-Prelcic, RW Heath IEEE Communications Magazine 52 (12), 122-131, 2014 | 826 | 2014 |
Enabling large intelligent surfaces with compressive sensing and deep learning A Taha, M Alrabeiah, A Alkhateeb IEEE access 9, 44304-44321, 2021 | 683 | 2021 |
Frequency selective hybrid precoding for limited feedback millimeter wave systems A Alkhateeb, RW Heath IEEE Transactions on Communications 64 (5), 1801-1818, 2016 | 577 | 2016 |
Deep learning coordinated beamforming for highly-mobile millimeter wave systems A Alkhateeb, S Alex, P Varkey, Y Li, Q Qu, D Tujkovic IEEE access 6, 37328-37348, 2018 | 480 | 2018 |
DeepMIMO: A generic deep learning dataset for millimeter wave and massive MIMO applications A Alkhateeb arXiv preprint arXiv:1902.06435, 2019 | 478 | 2019 |
Coverage and capacity of millimeter-wave cellular networks T Bai, A Alkhateeb, RW Heath IEEE Communications Magazine 52 (9), 70-77, 2014 | 458 | 2014 |
Dynamic subarrays for hybrid precoding in wideband mmWave MIMO systems S Park, A Alkhateeb, RW Heath IEEE Transactions on Wireless communications 16 (5), 2907-2920, 2017 | 440 | 2017 |
Channel estimation for hybrid architecture-based wideband millimeter wave systems K Venugopal, A Alkhateeb, NG Prelcic, RW Heath IEEE Journal on Selected Areas in Communications 35 (9), 1996-2009, 2017 | 408 | 2017 |
Hybrid precoding for millimeter wave cellular systems with partial channel knowledge A Alkhateeb, O El Ayach, G Leus, RW Heath 2013 Information Theory and Applications Workshop (ITA), 1-5, 2013 | 391 | 2013 |
Compressed sensing based multi-user millimeter wave systems: How many measurements are needed? A Alkhateeb, G Leus, RW Heath 2015 IEEE international conference on acoustics, speech and signal …, 2015 | 336 | 2015 |
Frequency-domain compressive channel estimation for frequency-selective hybrid millimeter wave MIMO systems J Rodríguez-Fernández, N González-Prelcic, K Venugopal, RW Heath IEEE Transactions on Wireless Communications 17 (5), 2946-2960, 2018 | 284 | 2018 |
Channel estimation and hybrid combining for mmWave: Phase shifters or switches? R Méndez-Rial, C Rusu, A Alkhateeb, N González-Prelcic, RW Heath 2015 Information Theory and Applications Workshop (ITA), 90-97, 2015 | 264 | 2015 |
Hybrid architectures with few-bit ADC receivers: Achievable rates and energy-rate tradeoffs J Mo, A Alkhateeb, S Abu-Surra, RW Heath IEEE Transactions on Wireless Communications 16 (4), 2274-2287, 2017 | 262 | 2017 |
Deep learning for mmWave beam and blockage prediction using sub-6 GHz channels M Alrabeiah, A Alkhateeb IEEE Transactions on Communications 68 (9), 5504-5518, 2020 | 261 | 2020 |
Deep reinforcement learning for 5G networks: Joint beamforming, power control, and interference coordination FB Mismar, BL Evans, A Alkhateeb IEEE Transactions on Communications 68 (3), 1581-1592, 2019 | 226 | 2019 |