DropNet: An improved dropping algorithm based on neural networks for line-of-sight massive MIMO
In line-of-sight massive MIMO, the downlink channel vectors of few users may become
highly correlated. This high correlation limits the sum-rates of systems employing linear …
highly correlated. This high correlation limits the sum-rates of systems employing linear …
An improved successive filter-based dropping algorithm for massive MIMO with max-min power control
In line-of-sight massive MIMO, there are use cases where the channel vectors of some users
become highly correlated. Highly correlated users lead to a large reduction in the sum-rate …
become highly correlated. Highly correlated users lead to a large reduction in the sum-rate …
An improved dropping algorithm for line-of-sight massive MIMO with max-min power control
In line-of-sight massive MIMO, there is a nonnegligible probability that two users become
highly correlated, which leads to a reduction in the achievable sum-rates of linear precoders …
highly correlated, which leads to a reduction in the achievable sum-rates of linear precoders …
An improved dropping algorithm for line-of-sight massive MIMO with Tomlinson–Harashima precoding
One of the problems in line-of-sight massive MIMO is that a few users can have correlated
channel vectors. To alleviate this problem, a dropping algorithm has been proposed in the …
channel vectors. To alleviate this problem, a dropping algorithm has been proposed in the …
User selection for massive MIMO under line-of-sight propagation
This paper provides a review of user selection algorithms for massive multiple-input multiple-
output (MIMO) systems under the line-of-sight (LoS) propagation model. Although the LoS …
output (MIMO) systems under the line-of-sight (LoS) propagation model. Although the LoS …
A low-complexity hybrid linear and nonlinear precoder for line-of-sight massive MIMO with max-min power control
In line-of-sight (LOS) massive MIMO, there is a nonnegligible probability that the channel
vectors of some users become correlated. In these correlated scenarios, nonlinear …
vectors of some users become correlated. In these correlated scenarios, nonlinear …
No downlink pilots are needed in TDD massive MIMO
HQ Ngo, EG Larsson - IEEE Transactions on Wireless …, 2017 - ieeexplore.ieee.org
We consider the Massive Multiple-Input Multiple-Output downlink with maximum-ratio and
zero-forcing processing and time-division duplex operation. To decode, the users must know …
zero-forcing processing and time-division duplex operation. To decode, the users must know …
Downlink training in cell-free massive MIMO: A blessing in disguise
Cell-free Massive MIMO (multiple-input multiple-output) refers to a distributed Massive MIMO
system where all the access points (APs) cooperate to coherently serve all the user …
system where all the access points (APs) cooperate to coherently serve all the user …
Utility-based downlink pilot assignment in cell-free massive MIMO
G Interdonato, P Frenger… - WSA 2018; 22nd …, 2018 - ieeexplore.ieee.org
We propose a strategy for orthogonal downlink pilot assignment in cell-free massive MIMO
(multiple-input multipleoutput) that exploits knowledge of the channel state information, the …
(multiple-input multipleoutput) that exploits knowledge of the channel state information, the …
Enhanced normalized conjugate beamforming for cell-free massive MIMO
G Interdonato, HQ Ngo… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
In cell-free massive multiple-input multiple-output (MIMO) the fluctuations of the channel
gain from the access points to a user are large due to the distributed topology of the system …
gain from the access points to a user are large due to the distributed topology of the system …
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