ASEP of MIMO System with MMSE-OSIC Detection over Weibull-Gamma Fading Channel Subject to AWGGN
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...
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| Format: | Article |
| Language: | English |
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Wiley
2016-01-01
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| Series: | Journal of Computer Networks and Communications |
| Online Access: | http://dx.doi.org/10.1155/2016/7918456 |
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| author | Keerti Tiwari Davinder S. Saini Sunil V. Bhooshan |
| author_facet | Keerti Tiwari Davinder S. Saini Sunil V. Bhooshan |
| author_sort | Keerti Tiwari |
| collection | DOAJ |
| description | 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, generalized Q-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. |
| format | Article |
| id | doaj-art-d30c4bbe32824ae7b9ca3e00c3bd1644 |
| institution | OA Journals |
| issn | 2090-7141 2090-715X |
| language | English |
| publishDate | 2016-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Computer Networks and Communications |
| spelling | doaj-art-d30c4bbe32824ae7b9ca3e00c3bd16442025-08-20T02:19:51ZengWileyJournal of Computer Networks and Communications2090-71412090-715X2016-01-01201610.1155/2016/79184567918456ASEP of MIMO System with MMSE-OSIC Detection over Weibull-Gamma Fading Channel Subject to AWGGNKeerti Tiwari0Davinder S. Saini1Sunil V. Bhooshan2Department of Electronics and Communication Engineering, Jaypee University of Information Technology, Waknaghat, Solan 173234, IndiaDepartment of Electronics and Communication Engineering, Chandigarh College of Engineering and Technology, Chandigarh 160019, IndiaDepartment of Electronics and Communication Engineering, Jaypee University of Information Technology, Waknaghat, Solan 173234, IndiaOrdered 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, generalized Q-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.http://dx.doi.org/10.1155/2016/7918456 |
| spellingShingle | Keerti Tiwari Davinder S. Saini Sunil V. Bhooshan ASEP of MIMO System with MMSE-OSIC Detection over Weibull-Gamma Fading Channel Subject to AWGGN Journal of Computer Networks and Communications |
| title | ASEP of MIMO System with MMSE-OSIC Detection over Weibull-Gamma Fading Channel Subject to AWGGN |
| title_full | ASEP of MIMO System with MMSE-OSIC Detection over Weibull-Gamma Fading Channel Subject to AWGGN |
| title_fullStr | ASEP of MIMO System with MMSE-OSIC Detection over Weibull-Gamma Fading Channel Subject to AWGGN |
| title_full_unstemmed | ASEP of MIMO System with MMSE-OSIC Detection over Weibull-Gamma Fading Channel Subject to AWGGN |
| title_short | ASEP of MIMO System with MMSE-OSIC Detection over Weibull-Gamma Fading Channel Subject to AWGGN |
| title_sort | asep of mimo system with mmse osic detection over weibull gamma fading channel subject to awggn |
| url | http://dx.doi.org/10.1155/2016/7918456 |
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