University of Oulu

M. A. M. Albreem, A. A. El-Saleh and M. Juntti, "Linear Massive MIMO Uplink Detector Based On Joint Jacobi and Gauss-Seidel Methods," 2020 16th International Conference on the Design of Reliable Communication Networks DRCN 2020, Milano, Italy, 2020, pp. 1-4, doi: 10.1109/DRCN48652.2020.1570610672

Linear massive MIMO uplink detector based on joint Jacobi and Gauss-Seidel methods

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Author: Albreem, Mahmoud A. M.1; El-Saleh, Ayman A.1; Juntti, Markku2
Organizations: 1A’Sharqiyah University, Ibra, Oman
2University of Oulu, Oulu, Finland
Format: article
Version: accepted version
Access: open
Online Access: PDF Full Text (PDF, 0.3 MB)
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Language: English
Published: Institute of Electrical and Electronics Engineers, 2020
Publish Date: 2020-10-02


In fifth generation (5G) cellular system, massive multiple-input multiple-output (MIMO) is utilized to improve the diversity gain, reliability, link robustness, latency, and power and spectral efficiencies. However, a large number of antennas requires sophisticated signal processing to detect data. Although the detection based on maximum likelihood (ML) obtains the best performance, it is not hardware friendly because of the exponential complexity. Therefore, several iterative methods are proposed to estimate the signal without computing the inverse of equalization matrix, and hence, minimize the complexity. The Jacobi (JA) and the Gauss-Seidel (GS) methods achieve a satisfactory performance. However, large iterations’ number is in demand which produces a high computational complexity. This paper proposes a detector for massive MIMO uplink (UL) system based on the JA and GS methods. Proposed detector obtains a balance between the performance and the complexity. In this research, initialization is performed based on the JA method. After-that, the estimation is performed based on the GS method. Numerical results show that the proposed JA-GS detector outperforms the GS and the JA based detector. Moreover, proposed JA-GS based detector requires few iterations to obtain the target performance and hence, a considerable reduction in computational complexity is achieved.

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ISBN: 978-1-7281-6300-0
ISBN Print: 978-1-7281-6301-7
Pages: 1 - 4
Article number: 9089386
DOI: 10.1109/DRCN48652.2020.1570610672
Host publication: 16th International Conference on the Design of Reliable Communication Networks, DRCN 2020
Conference: International Conference on the Design of Reliable Communication Networks
Type of Publication: A4 Article in conference proceedings
Field of Science: 213 Electronic, automation and communications engineering, electronics
Funding: This research is financially supported by A’Sharqiyah University Research Visits Support Fund. In addition, the research leading to these results has received funding from the Research Council (TRC) of the Sultanate of Oman under the Block Funding Program (TRC Block Funding Agreement No. BFP/RGP/ICT/18/079).
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