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
|Author:||Albreem, Mahmoud A. M.1; El-Saleh, Ayman A.1; Juntti, Markku2|
1A’Sharqiyah University, Ibra, Oman
2University of Oulu, Oulu, Finland
|Online Access:||PDF Full Text (PDF, 0.3 MB)|
|Persistent link:|| http://urn.fi/urn:nbn:fi-fe2020100277670
Institute of Electrical and Electronics Engineers,
|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.
|Pages:||1 - 4|
16th International Conference on the Design of Reliable Communication Networks, DRCN 2020
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
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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