The Optimal MMSE-Based OSIC Detector for MIMO System

Song, Yunchao; Liu, Chen; Lü, Feng

doi:10.1587/transcom.2015ebp3196

Cited by 2 publications

(1 citation statement)

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“…Therefore, ordered successive interference cancellation (OSIC) is recommended with MMSE for improving the error rate performance [5]. In [5][6][7][8], efficient approaches have been investigated to develop OSIC and to reduce the complexity of receiver for Vertical-Bell Laboratories Layered Space-Time (V-BLAST) system. In [9], antenna selection has been used for OSIC detection to enhance the error rate performance.…”

Section: Introductionmentioning

confidence: 99%

ASEP of MIMO System with MMSE-OSIC Detection over Weibull-Gamma Fading Channel Subject to AWGGN

Tiwari

Saini

Bhooshan

2016

Journal of Computer Networks and Communications

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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.

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