Követés
Ahmed Alkhateeb
Ahmed Alkhateeb
Associate Professor, Arizona State University
E-mail megerősítve itt: asu.edu - Kezdőlap
Cím
Hivatkozott rá
Hivatkozott rá
Év
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
27482014
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
22492019
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
13422015
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
9772016
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
9042016
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
8722014
Enabling large intelligent surfaces with compressive sensing and deep learning
A Taha, M Alrabeiah, A Alkhateeb
IEEE access 9, 44304-44321, 2021
7842021
Frequency selective hybrid precoding for limited feedback millimeter wave systems
A Alkhateeb, RW Heath
IEEE Transactions on Communications 64 (5), 1801-1818, 2016
6172016
DeepMIMO: A generic deep learning dataset for millimeter wave and massive MIMO applications
A Alkhateeb
arXiv preprint arXiv:1902.06435, 2019
6062019
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
5202018
Coverage and capacity of millimeter-wave cellular networks
T Bai, A Alkhateeb, RW Heath
IEEE Communications Magazine 52 (9), 70-77, 2014
4722014
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
4692017
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
4372017
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
4012013
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
3482015
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
3212018
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
3172020
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
2782019
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
2772017
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
2742015
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Cikkek 1–20