Channel estimation techniques for millimeter-wave communication systems: Achievements and challenges
K Hassan, M Masarra, M Zwingelstein… - IEEE Open Journal of …, 2020 - ieeexplore.ieee.org
The fifth-generation (5G) of cellular networks and beyond requires massive connectivity,
high data rates, and low latency. Millimeter-wave (mmWave) communications is a key 5G …
high data rates, and low latency. Millimeter-wave (mmWave) communications is a key 5G …
Phase retrieval: From computational imaging to machine learning: A tutorial
Phase retrieval consists in the recovery of a complex-valued signal from intensity-only
measurements. As it pervades a broad variety of applications, many researchers have …
measurements. As it pervades a broad variety of applications, many researchers have …
AMP-inspired deep networks for sparse linear inverse problems
M Borgerding, P Schniter… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
Deep learning has gained great popularity due to its widespread success on many inference
problems. We consider the application of deep learning to the sparse linear inverse …
problems. We consider the application of deep learning to the sparse linear inverse …
A unifying tutorial on approximate message passing
Over the last decade or so, Approximate Message Passing (AMP) algorithms have become
extremely popular in various structured high-dimensional statistical problems. Although the …
extremely popular in various structured high-dimensional statistical problems. Although the …
Channel estimation in broadband millimeter wave MIMO systems with few-bit ADCs
We develop a broadband channel estimation algorithm for millimeter wave (mmWave)
multiple input multiple output (MIMO) systems with few-bit analog-to-digital converters …
multiple input multiple output (MIMO) systems with few-bit analog-to-digital converters …
Compressed sensing with deep image prior and learned regularization
We propose a novel method for compressed sensing recovery using untrained deep
generative models. Our method is based on the recently proposed Deep Image Prior (DIP) …
generative models. Our method is based on the recently proposed Deep Image Prior (DIP) …
Channel estimation method and phase shift design for reconfigurable intelligent surface assisted MIMO networks
This paper deals with channel estimation in reconfigurable intelligent surface (RIS) aided
multiple-input multiple-output (MIMO) time-division duplexing systems. In a typical RIS …
multiple-input multiple-output (MIMO) time-division duplexing systems. In a typical RIS …
Approximate message passing algorithms for rotationally invariant matrices
Z Fan - The Annals of Statistics, 2022 - projecteuclid.org
Approximate Message Passing algorithms for rotationally invariant matrices Page 1 The
Annals of Statistics 2022, Vol. 50, No. 1, 197–224 https://doi.org/10.1214/21-AOS2101 © …
Annals of Statistics 2022, Vol. 50, No. 1, 197–224 https://doi.org/10.1214/21-AOS2101 © …
Universality of approximate message passing algorithms and tensor networks
T Wang, X Zhong, Z Fan - The Annals of Applied Probability, 2024 - projecteuclid.org
The supplementary appendix contains additional details about AMP algorithms for
rectangular matrices and the rectangular generalized invariant universality class of …
rectangular matrices and the rectangular generalized invariant universality class of …
Approximate message passing for channel estimation in reconfigurable intelligent surface aided MIMO multiuser systems
Channel estimation is one of the main challenges for implementing reconfigurable intelligent
surface (RIS)-aided communication system with a large number of antennas at the base …
surface (RIS)-aided communication system with a large number of antennas at the base …