A Low-Complexity and High-Decoding Performance Scheme for the MIMO-SCMA System
| Autor: | Wenping Ge, Haofeng Zhang, Gecheng Zhang, Shiqing Qian, Lili Ma |
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| Rok vydání: | 2021 |
| Předmět: |
Block code
Technology Article Subject Computational complexity theory Computer Networks and Communications Computer science MIMO Word error rate 020206 networking & telecommunications 020302 automobile design & engineering TK5101-6720 Data_CODINGANDINFORMATIONTHEORY 02 engineering and technology Spectral efficiency Space–time block code 0203 mechanical engineering Telecommunication 0202 electrical engineering electronic engineering information engineering Bit error rate Electrical and Electronic Engineering Algorithm Decoding methods Computer Science::Information Theory Information Systems |
| Zdroj: | Wireless Communications and Mobile Computing, Vol 2021 (2021) |
| ISSN: | 1530-8677 1530-8669 |
| Popis: | Sparse code multiple access (SCMA) has been proposed to obtain high capacity and support massive connections. When combined with the multiple-input multiple-output (MIMO) techniques, the spectrum efficiency of the SCMA system can be further improved. However, the detectors of the MIMO-SCMA system have high computational complexity. For the maximum likelihood (ML) detection, though it is optimal decoding algorithm for the MIMO-SCMA system, the detection complexity would grow exponentially with the number of both the antennas and users increase. In this paper, we consider a space-time block code (STBC) based MIMO-SCMA system where SCMA is used for multiuser access. Besides, we propose a low-complexity utilizing joint message passing algorithm (JMPA) detection, which narrowing the range of superimposed constellation points, called joint message passing algorithm based on sphere decoding (S-JMPA). But for the S-JMPA detector, the augment of the amount of access users and antennas leads to the degradation of decoding performance, the STBC is constructed to compensate the performance loss of the S-JMPA detector and ensure good bit error rate (BER) performance. The simulation results show that the proposed method achieves a close error rate performance to ML, JMPA, and a fast convergence rate. Moreover, compared to the ML detector, it also significantly reduces the detection complexity of the algorithms. |
| Databáze: | OpenAIRE |
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