Kaczmarz Precoding and Detection for Massive MIMO Systems

Victor Croisfelt Rodrigues, Taufik Abrao, Jose Carlos Marinello Filho

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

1 Citation (Scopus)

Abstract

In order to allow the operation of cheap and simple computational nodes, the reduction of the complexity related to the computation of signal processing techniques in massive multiple-input multiple-output (M-MIMO) is a desirable property to be obtained. With this in mind, several methods have been proposed to reduce the complexity of the classical combining/precoding schemes, being one of these based on the Kaczmarz algorithm (KA). Recent works demonstrated that KA-based approaches can suitably estimate the signals received and transmitted in the uplink and downlink phases; simultaneously, the procedure seemed to result in a very low computational complexity. Motivated by such context, this paper proposes a modification in the primary KA-based scheme for M-MIMO, striving to improve its rate of convergence, reducing complexity while holds the performance. Such improvement underlies the effects of pathloss and shadowing over the KA's rate of convergence, as well as in the spectral efficiency. Numerical results are given supporting that the proposed method outclasses the original proposal.

Original languageEnglish
Title of host publication2019 IEEE Wireless Communications and Networking Conference, WCNC 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Publication dateApr 2019
Article number8885474
ISBN (Electronic)9781538676462
DOIs
Publication statusPublished - Apr 2019
Externally publishedYes
Event2019 IEEE Wireless Communications and Networking Conference, WCNC 2019 - Marrakesh, Morocco
Duration: 15 Apr 201919 Apr 2019

Conference

Conference2019 IEEE Wireless Communications and Networking Conference, WCNC 2019
Country/TerritoryMorocco
CityMarrakesh
Period15/04/201919/04/2019
SeriesIEEE Wireless Communications and Networking Conference, WCNC
Volume2019-April
ISSN1525-3511

Bibliographical note

Publisher Copyright:
© 2019 IEEE.

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