Massive MIMO Channel Estimation using few parameters in sparse propagation environments

Exploring underused spectrum bands such as the mmWave band is key to solve future wireless communications necessities. This work studies the problem of channel estimation in multi-antena systems in this high-frequency band considering the few propagation parameters that are unveiled due to the sparse propagation nature. We address the channel estimation by applying atomic norm as a gridless multidimensional spectral estimation. The applied methodology is compared in different scenarios with several on-grid spectral estimation approaches and also with traditional non-parametrical methods.

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Publication Details

Published
2024-10-07
DOI
https://doi.org/10.1109/vtc2024-fall63153.2024.10757888
Primary Topic
Advanced MIMO Systems Optimization
Type
article
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Massive MIMO Channel Estimation using few parameters in sparse propagation environments

Álvaro Callejas-Ramos, Xavier Artiga, Antonia M. Tulino, Miguel Ángel Vázquez et al.
Advanced MIMO Systems Optimization
article

Massive MIMO Channel Estimation using few parameters in sparse propagation environments

Álvaro Callejas-Ramos, Xavier Artiga, Antonia M. Tulino, Miguel Ángel Vázquez, Matilde Sánchez-Fernández
article en

Abstract

Exploring underused spectrum bands such as the mmWave band is key to solve future wireless communications necessities. This work studies the problem of channel estimation in multi-antena systems in this high-frequency band considering the few propagation parameters that are unveiled due to the sparse propagation nature. We address the channel estimation by applying atomic norm as a gridless multidimensional spectral estimation. The applied methodology is compared in different scenarios with several on-grid spectral estimation approaches and also with traditional non-parametrical methods.

Universidad Carlos III de Madrid (ES), University of Naples Federico II (IT)
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Advanced MIMO Systems Optimization
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