Efficient Detection for Improving ASEP Performance of MIMO Composite Fading Channel with Generalized Noise
| Autor: | Keerti Tiwari, Davinder S. Saini, Sunil Bhooshan |
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| Rok vydání: | 2017 |
| Předmět: |
Mean square
Mathematical optimization 020208 electrical & electronic engineering Composite number MIMO Word error rate 020206 networking & telecommunications 02 engineering and technology Noise (electronics) Computer Science Applications symbols.namesake Single antenna interference cancellation Gaussian noise 0202 electrical engineering electronic engineering information engineering symbols Fading Electrical and Electronic Engineering Algorithm Computer Science::Information Theory Mathematics |
| Zdroj: | Wireless Personal Communications. 98:2913-2923 |
| ISSN: | 1572-834X 0929-6212 |
| DOI: | 10.1007/s11277-017-5007-4 |
| Popis: | Multiple-input multiple-output (MIMO) system has achieved significant benefits by applying optimum detection techniques. Maximum likelihood (ML) detection technique improves the error rate performance of MIMO system at optimum level but with enhanced complexity. Therefore, we have considered minimum mean square error-ordered successive interference cancellation with candidate detection to approach the performance of ML with reduced complexity. The proposed system performance is analyzed in composite Weibull–gamma fading and additive white generalized Gaussian noise (AWGGN) scenario. Some special cases of WG fading and AWGGN yield the simplified results. |
| Databáze: | OpenAIRE |
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