Channel Estimation for 6G V2X Hybrid Systems Using Multi-Vehicular Learning

Channel Estimation for 6G V2X Hybrid Systems Using Multi-Vehicular Learning

Channel estimation for hybrid Multiple Input Multiple Output (MIMO) systems at Millimeter-Waves/sub-THz is a fundamental, despite challenging, prerequisite for an efficient design of hybrid MIMO precoding/combining. Most works propose sequential search algorithms, e.g., Compressive Sensing (CS), tha...

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Bibliographic Details
Main Authors: Marouan Mizmizi, Dario Tagliaferri, Damiano Badini, Christian Mazzucco, Umberto Spagnolini
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Low-rank channel estimation
hybrid MIMO systems
millimeter-wave
sub-THz
V2X
5G new radio
Online Access:https://ieeexplore.ieee.org/document/9475519/

Internet

https://ieeexplore.ieee.org/document/9475519/

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