Effects of Channel Features on Parameters of Genetic Algorithm for MIMO Detection
| Autor: | Shingo Yoshizawa, Yoshikazu Miyanaga, Constantin Siriteanu, Kazi Obaidullah |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2013 |
| Předmět: |
Population
MIMO Azimuth spread Rician fading Statistics genetic algorithm Fading Electrical and Electronic Engineering education Computer Science::Information Theory Mathematics education.field_of_study Applied Mathematics Cumulative distribution function WINNER II fading Computer Graphics and Computer-Aided Design Spatial multiplexing K-factor Transmission (telecommunications) correlation Signal Processing Meta GA Algorithm Communication channel condition number Maximum likelihood |
| Zdroj: | IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences. (10):1984-1992 |
| ISSN: | 0916-8508 |
| Popis: | Genetic algorithm (GA) is now an important tool in the field of wireless communications. For multiple-input/multiple-output (MIMO) wireless communications system employing spatial multiplexing transmission, we evaluate the effects of GA parameters value on channel parameters in fading channels. We assume transmit-correlated Rayleigh and Rician fading with realistic Laplacian power azimuth spectrum. Azimuth spread (AS) and Rician K-factor are selected according to the measurement-based WINNER II channel model for several scenarios. Herein we have shown the effects of GA parameters and channel parameters in different WINNER II scenarios (i.e., AS and K values) and rank of the deterministic components. We employ meta GA that suitably selects the population (P), generation (G) and mutation probability (p(m)) for the inner GA. Then we show the cumulative distribution function (CDF) obtain experimentally for the condition number C of the channel matrix H. It is found that, GA parameters depend on-the channel parameters, i.e., GA parameters are the functions of the channel parameters. It is also found that for the poorer channel conditions smaller GA parameter values are required for MIMO detection. This approach will help to achieve maximum performance in practical condition for the lower numerical complexity. |
| Databáze: | OpenAIRE |
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