Low Complexity High-Performance Precoding Algorithms for mm-Wave MU-MIMO Communication System
| Autor: | Haythem H. Abdullah, Rania H. El-abd, Ahmed Shaban Samrah, Mohamed Abd Elazim |
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| Rok vydání: | 2020 |
| Předmět: |
Minimum mean square error
Computer science MIMO 020206 networking & telecommunications 02 engineering and technology Communications system Multi-user MIMO Precoding Computer Science Applications Signal-to-noise ratio 0202 electrical engineering electronic engineering information engineering Bit error rate 020201 artificial intelligence & image processing Electrical and Electronic Engineering Antenna (radio) Algorithm Computer Science::Information Theory |
| Zdroj: | Wireless Personal Communications. 115:2489-2500 |
| ISSN: | 1572-834X 0929-6212 |
| DOI: | 10.1007/s11277-020-07692-6 |
| Popis: | In this paper, linear precoding (LP) algorithm has been studied to improve the bit error rate (BER) performance of large scale multiple input multiple output (MIMO) system. A new technique of enhancing the BER performance of linear precoding algorithm without complexity in hardware and mathematical calculations is proposed and it is used on a traditional LP algorithms like a Maximum Ratio Transmission (MRT), a Zero-Forcing (ZF), a Regularized Zero-Forcing (RZF), and a Minimum Mean Square Error (MMSE) for Millimeter wave MU-MIMO communication system. A new technique is also used to mitigate the BER gab problem between (ZF, MMSE) and (RZF, MMSE) linear precoding algorithms. The result shows that with using the new technique, the BER performance of modified LP significantly outperform their traditional LP by 10−5 when using 4 element of BS antenna, 10−6 when using 16 element of BS antenna and mitigate the BER gab problem at different signal to noise ratio (SNR). |
| Databáze: | OpenAIRE |
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