University of Oulu

M. Albreem, M. Juntti and S. Shahabuddin, "Efficient initialisation of iterative linear massive MIMO detectors using a stair matrix," in Electronics Letters, vol. 56, no. 1, pp. 50-52, 9 1 2020, doi: 10.1049/el.2019.2938

Efficient initialisation of iterative linear massive MIMO detectors using a stair matrix

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Author: Albreem, M.1; Juntti, M.2; Shahabuddin, S.3,2
Organizations: 1Department of Electronics and Communications Engineering, A’Sharqiyah University, Ibra 400, Oman
2Centre for Wireless Communications, University of Oulu, Oulu 90014, Finland
3Mobile Networks, Nokia, Oulu 90620, Finland
Format: article
Version: accepted version
Access: open
Online Access: PDF Full Text (PDF, 0.2 MB)
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Language: English
Published: Institution of Engineering and Technology, 2020
Publish Date: 2020-06-12


Several approximate matrix inversion methods have been used in linear massive MIMO uplink detectors where their convergence rate, performance, and complexity are greatly affected by the initial solution. In this Letter, the authors exploit a stair matrix, instead of a diagonal matrix, in initialising iterative linear minimum mean square error massive MIMO detector based on several approximate matrix inversion methods, namely, the Gauss-Seidel, successive over relaxation, Richardson iteration, and Newton iteration methods. Numerical results show a significant performance enhancement without a burden of extra complexity using a stair matrix over a diagonal matrix in all methods.

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Series: Electronics letters
ISSN: 0013-5194
ISSN-E: 1350-911X
ISSN-L: 0013-5194
Volume: 56
Issue: 1
Pages: 50 - 52
DOI: 10.1049/el.2019.2938
Type of Publication: A1 Journal article – refereed
Field of Science: 213 Electronic, automation and communications engineering, electronics
Funding: This research has been financially supported by Academy of Finland 6Genesis Flagship (grant no. 318927), Nokia Foundation Centennial Grant, A’Sharqiyah University Research Visits Support Fund, and The Research Council of Oman (grant no. BFP/RGP/ICT/18/079).
Academy of Finland Grant Number: 318927
Detailed Information: 318927 (Academy of Finland Funding decision)
Copyright information: © The Institution of Engineering and Technology 2020. The Definitive Version of Record can be found online at: