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

Keerti Tiwari,Sunil V Bhooshan,Davinder S Saini

doi:10.1155/2016/7918456

Abstract

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.

Highlights

In multiple-input multiple-output (MIMO) systems, the role of spatial multiplexing (SM) and spatial diversity is to provide high data rate and reliable communication, respectively
To evaluate the MIMO system performance, 16-quadrature amplitude modulation (16-quadrature amplitude modulation (QAM)) modulation is used as a function of signal-to-noise ratio (SNR) for the generalized case of noise
This paper evaluates the average symbol error probability (ASEP) performance of MIMO system in composite WG fading environment subject to additive white generalized Gaussian noise (AWGGN)

Summary

Introduction

In multiple-input multiple-output (MIMO) systems, the role of spatial multiplexing (SM) and spatial diversity is to provide high data rate and reliable communication, respectively. Rectangular quadrature amplitude modulation (QAM) is defined by a combination of in-phase and quadrature phase pulse amplitude modulation (PAM) signals This modulation technique has been used to compute average symbol error probability (ASEP) using Gaussian Qfunction in composite fading scenario perturbed by additive white generalized Gaussian noise (AWGGN) [27]. To improve the MIMO system performance spatial multiplexing (SM) is used with efficient detection technique, that is, MMSE-OSIC. To achieve the high data rate of the wireless link, higher order modulation techniques are preferred, they are less flexible to noise and interference.

System and Channel Model

MMSE-OSIC Detection

Average Symbol Error Probability for M-QAM

Simulation Results and Analysis

Conclusion