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A Family of Deep Learning Architectures for Channel Estimation and Hybrid Beamforming in Multi-Carrier mm-Wave Massive MIMO
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A Family of Deep Learning Architectures for Channel Estimation and Hybrid Beamforming in Multi-Carrier mm-Wave Massive MIMO

Ahmet M. Elbir
Kumar Vijay Mishra
Bhavani Shankar
Björn E. Ottersten
ArXiv (abs)PDFHTML

Papers citing "A Family of Deep Learning Architectures for Channel Estimation and Hybrid Beamforming in Multi-Carrier mm-Wave Massive MIMO"

6 / 6 papers shown
Title
Revolutionizing Wireless Networks with Federated Learning: A Comprehensive Review
Revolutionizing Wireless Networks with Federated Learning: A Comprehensive Review
Sajjad Emdadi Mahdimahalleh
AI4CE
78
1
0
01 Aug 2023
A Deep Learning Framework for Hybrid Beamforming Without Instantaneous CSI Feedback
A Deep Learning Framework for Hybrid Beamforming Without Instantaneous CSI Feedback
Ahmet M. Elbir
35
31
0
19 Jun 2020
Sparse Array Selection Across Arbitrary Sensor Geometries with Deep Transfer Learning
Sparse Array Selection Across Arbitrary Sensor Geometries with Deep Transfer Learning
Ahmet M. Elbir
Kumar Vijay Mishra
36
27
0
24 Apr 2020
Cognitive Radar Antenna Selection via Deep Learning
Cognitive Radar Antenna Selection via Deep Learning
Ahmet M. Elbir
Kumar Vijay Mishra
Yonina C. Eldar
39
101
0
27 Feb 2018
Deep Learning-Based Communication Over the Air
Deep Learning-Based Communication Over the Air
Sebastian Dörner
Sebastian Cammerer
J. Hoydis
S. Brink
63
718
0
11 Jul 2017
Manopt, a Matlab toolbox for optimization on manifolds
Manopt, a Matlab toolbox for optimization on manifolds
Nicolas Boumal
Bamdev Mishra
P.-A. Absil
R. Sepulchre
102
1,031
0
23 Aug 2013

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