ASEP of MIMO System with MMSE-OSIC Detection over Weibull-Gamma Fading Channel Subject to AWGGN
| Autor: | Sunil Bhooshan, Keerti Tiwari, Davinder S. Saini |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
Minimum mean square error
Article Subject Computer Networks and Communications business.industry Computer science 020208 electrical & electronic engineering MIMO 020206 networking & telecommunications 02 engineering and technology Noise (electronics) lcsh:QA75.5-76.95 symbols.namesake Fading distribution Channel state information Gaussian noise 0202 electrical engineering electronic engineering information engineering symbols Fading lcsh:Electronic computers. Computer science Telecommunications business Algorithm Multipath propagation Computer Science::Information Theory Information Systems |
| Zdroj: | Journal of Computer Networks and Communications, Vol 2016 (2016) |
| ISSN: | 2090-715X 2090-7141 |
| DOI: | 10.1155/2016/7918456 |
| Popis: | Ordered successive interference cancellation (OSIC) is adopted with minimum mean square error (MMSE) detection to enhance the multiple-input multiple-output (MIMO) system performance. The optimum detection technique improves the error rate performance but increases system complexity. Therefore, MMSE-OSIC detection is used which reduces error rate compared to traditional MMSE with low complexity. The system performance is analyzed in composite fading environment that includes multipath and shadowing effects known as Weibull-Gamma (WG) fading. Along with the composite fading, a generalized noise that is additive white generalized Gaussian noise (AWGGN) is considered to show the impact of wireless scenario. This noise model includes various forms of noise as special cases such as impulsive, Gamma, Laplacian, Gaussian, and uniform. Consequently, generalizedQ-function is used to model noise. The average symbol error probability (ASEP) of MIMO system is computed for 16-quadrature amplitude modulation (16-QAM) using MMSE-OSIC detection in WG fading perturbed by AWGGN. Analytical expressions are given in terms of Fox-H function (FHF). These expressions demonstrate the best fit to simulation results. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|
Plný text