Efficient and low-complexity matrix inversion scheme for massive multiple-input multiple-output systems using rapid numerical algorithms
Performances of the regularised zero forcing (RZF) precoder, rapid numerical algorithm (RNA) precoder and the truncated polynomial expansion (TPE) Precoder are compared and analysed for massive multiple-input multiple-output (MIMO) wireless system in a downlink scenario. The achievable data rates, b...
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| Published in: | Journal of engineering (Stevenage, England) Vol. 2019; no. 10; pp. 7244 - 7249 |
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| Main Authors: | , |
| Format: | Journal Article |
| Language: | English |
| Published: |
The Institution of Engineering and Technology
01.10.2019
Wiley |
| Subjects: | |
| ISSN: | 2051-3305, 2051-3305 |
| Online Access: | Get full text |
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| Summary: | Performances of the regularised zero forcing (RZF) precoder, rapid numerical algorithm (RNA) precoder and the truncated polynomial expansion (TPE) Precoder are compared and analysed for massive multiple-input multiple-output (MIMO) wireless system in a downlink scenario. The achievable data rates, bit error rates and signal-to-interference-to-noise ratio were investigated. The simulated results agree with the theory of massive MIMO system. Also, the RZF precoder and the RNA precoder perform better in comparison to TPE precoder. |
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| ISSN: | 2051-3305 2051-3305 |
| DOI: | 10.1049/joe.2018.5015 |