Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Applying Compressive Sensing to the Massive MIMO Channel Estimation Problem

Version 1 : Received: 23 June 2019 / Approved: 25 June 2019 / Online: 25 June 2019 (08:52:36 CEST)

How to cite: Pereira de Figueiredo, F.A. Applying Compressive Sensing to the Massive MIMO Channel Estimation Problem. Preprints 2019, 2019060249. https://doi.org/10.20944/preprints201906.0249.v1 Pereira de Figueiredo, F.A. Applying Compressive Sensing to the Massive MIMO Channel Estimation Problem. Preprints 2019, 2019060249. https://doi.org/10.20944/preprints201906.0249.v1

Abstract

This paper proposes the use of compressive sensing to tackle the Massive MIMO channel estimation problem. As our results show compressive sensing-based estimators perform as well as the optimum MMSE estimator.

Keywords

massive MIMO; compressive sensing; channel estimation

Subject

Engineering, Electrical and Electronic Engineering

Comments (0)

We encourage comments and feedback from a broad range of readers. See criteria for comments and our Diversity statement.

Leave a public comment
Send a private comment to the author(s)
* All users must log in before leaving a comment
Views 0
Downloads 0
Comments 0
Metrics 0


×
Alerts
Notify me about updates to this article or when a peer-reviewed version is published.
We use cookies on our website to ensure you get the best experience.
Read more about our cookies here.