In multiple-input multiple-output (MIMO) systems, symbol error rate (SER) performance of Gamma shadowed Weibull multipath fading channel has not been investigated in existing literature. In this paper, MIMO system is realized with maximal ratio combining (MRC) technique that operates over Weibull-Gamma (WG) fading channel where WG forms a generic distribution. Higher order modulation like 16-phase shift keying (16-PSK) and 16quadrature amplitude modulation (16-QAM) are used with MIMO-MRC for the analysis of proposed system. Simulation and analytical results show that by increasing the values of fading parameters (β and m), SER performance can be improved. Also16-QAM gives better SER performance than 16-PSK.
Keywords-Multiple-input multiple-output (MIMO); symbol error rate (SER); maximal ratio combining (MRC); Weibull-Gamma (WG) fading; phase shift keying (PSK); quadrature amplitude modulation (QAM).I.
In multiple-input multiple-output (MIMO) systems, spatial demultiplexing at the receiver has its own significance. Thus, several detection techniques have been investigated. There is a tradeoff between computational complexity and optimal performance in most of the detection techniques. One of the detection techniques which gives improved performance and acceptable level of complexity is ordered successive interference cancellation (OSIC) with minimum mean square error (MMSE). However, optimal performance can be achieved by maximum likelihood (ML) detection but at a higher complexity level. Therefore, MMSE-OSIC with candidates (OSIC
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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