Efficient Massive MIMO Detection for M-QAM Symbols
Massive multiple-input multiple-output (MIMO) systems significantly outperform small-scale MIMO systems in terms of data rate, making them an enabling technology for next-generation wireless systems. However, the increased number of antennas increases the computational difficulty of data detection,...
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-02-01
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| Series: | Entropy |
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| Online Access: | https://www.mdpi.com/1099-4300/25/3/391 |
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| author | Zhi Quan Jiyu Luo Hailong Zhang Li Jiang |
| author_facet | Zhi Quan Jiyu Luo Hailong Zhang Li Jiang |
| author_sort | Zhi Quan |
| collection | DOAJ |
| description | Massive multiple-input multiple-output (MIMO) systems significantly outperform small-scale MIMO systems in terms of data rate, making them an enabling technology for next-generation wireless systems. However, the increased number of antennas increases the computational difficulty of data detection, necessitating more efficient detection techniques. This paper presents a detector based on joint deregularized and box-constrained dichotomous coordinate descent (BOXDCD) with iterations for rectangular m-ary quadrature amplitude modulation (M-QAM) symbols. Deregularization maximized the energy of the solution. With the box-constraint, the deregularization forces the solution to be close to the rectangular boundary set. The numerical results demonstrate that the proposed detector achieves a considerable performance gain compared to existing detection algorithms. The performance advantage increases with the system size and signal-to-noise ratio. |
| first_indexed | 2024-03-11T06:36:06Z |
| format | Article |
| id | doaj.art-9f2cb71e5e5e4176aa7437d0d96e1639 |
| institution | Directory Open Access Journal |
| issn | 1099-4300 |
| language | English |
| last_indexed | 2024-03-11T06:36:06Z |
| publishDate | 2023-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Entropy |
| spelling | doaj.art-9f2cb71e5e5e4176aa7437d0d96e16392023-11-17T10:55:34ZengMDPI AGEntropy1099-43002023-02-0125339110.3390/e25030391Efficient Massive MIMO Detection for M-QAM SymbolsZhi Quan0Jiyu Luo1Hailong Zhang2Li Jiang3School of Electrical and Information Engineering, Zhengzhou University, Zhengzhou 450001, ChinaSchool of Electrical and Information Engineering, Zhengzhou University, Zhengzhou 450001, ChinaSchool of Electrical and Information Engineering, Zhengzhou University, Zhengzhou 450001, ChinaSchool of Electrical and Information Engineering, Zhengzhou University, Zhengzhou 450001, ChinaMassive multiple-input multiple-output (MIMO) systems significantly outperform small-scale MIMO systems in terms of data rate, making them an enabling technology for next-generation wireless systems. However, the increased number of antennas increases the computational difficulty of data detection, necessitating more efficient detection techniques. This paper presents a detector based on joint deregularized and box-constrained dichotomous coordinate descent (BOXDCD) with iterations for rectangular m-ary quadrature amplitude modulation (M-QAM) symbols. Deregularization maximized the energy of the solution. With the box-constraint, the deregularization forces the solution to be close to the rectangular boundary set. The numerical results demonstrate that the proposed detector achieves a considerable performance gain compared to existing detection algorithms. The performance advantage increases with the system size and signal-to-noise ratio.https://www.mdpi.com/1099-4300/25/3/391box-constrained dichotomous coordinate descentmassive MIMOnegative diagonal loading regularizationsignal detectionquadrature amplitude modulation |
| spellingShingle | Zhi Quan Jiyu Luo Hailong Zhang Li Jiang Efficient Massive MIMO Detection for M-QAM Symbols Entropy box-constrained dichotomous coordinate descent massive MIMO negative diagonal loading regularization signal detection quadrature amplitude modulation |
| title | Efficient Massive MIMO Detection for M-QAM Symbols |
| title_full | Efficient Massive MIMO Detection for M-QAM Symbols |
| title_fullStr | Efficient Massive MIMO Detection for M-QAM Symbols |
| title_full_unstemmed | Efficient Massive MIMO Detection for M-QAM Symbols |
| title_short | Efficient Massive MIMO Detection for M-QAM Symbols |
| title_sort | efficient massive mimo detection for m qam symbols |
| topic | box-constrained dichotomous coordinate descent massive MIMO negative diagonal loading regularization signal detection quadrature amplitude modulation |
| url | https://www.mdpi.com/1099-4300/25/3/391 |
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