DropNet: An improved dropping algorithm based on neural networks for line-of-sight massive MIMO

A Farsaei, A Sheikh, U Gustavsson, A Alvarado… - IEEE …, 2021 - ieeexplore.ieee.org
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 …
被引用次数：9 相关文章

[引用][C] DropNet: An Improved Dropping Algorithm Based on Neural Networks for Line-of-Sight Massive MIMO

A Farsaei, A Sheikh, U Gustavsson, A Alvarado… - IEEE …, 2021 - ui.adsabs.harvard.edu
DropNet: An Improved Dropping Algorithm Based on Neural Networks for Line-of-Sight
Massive MIMO - NASA/ADS Now on home page ads icon ads Enable full ADS view NASA/ADS …
[PDF] tue.nl

[PDF][PDF] DropNet: An Improved Dropping Algorithm Based On Neural Networks for Line-of-Sight Massive MIMO

A FARSAEI, A SHEIKH, ULF GUSTAVSSON… - pure.tue.nl
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 …

DropNet: An Improved Dropping Algorithm Based On Neural Networks for Line-of-Sight Massive MIMO

A Farsaei, A Sheikh, U Gustavsson, A Alvarado… - IEEE Access, 2021 - research.tue.nl
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 …