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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, generalized

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. However, a tradeoff occurs between diversity and multiplexing for multiple access channels [

A variety of detection techniques exist in literature to improve the system performance [

Various small scale multipath channel models including Rayleigh, Rician, Nakagami-m, and Weibull have been recommended to analyze the wireless system performance. Large scale fading can be modeled using log-normal (LN) or Gamma distribution. Both the small scale and large scale fading effects can be observed simultaneously due to rapidly changing wireless environment. Therefore, channel modeling of composite fading which comprises multipath as well as shadowing effects is imperative to figure out. Also, it is important to resolve a number of practical problems with interference effects in MIMO wireless communications. The composite channel models such as Rayleigh-LN, shadowed-Rician, Gamma-Gamma, K, generalized-K, correlated shadowed-

Both higher and lower modulation orders have been considered in multipath fading with the existence of AWGN [

To the best of our knowledge, the MIMO system performance has not been evaluated for composite WG fading channel with the consideration of generalized noise. To improve the MIMO system performance spatial multiplexing (SM) is used with efficient detection technique, that is, MMSE-OSIC. The expressions derived for ASEP in [

The rest of the paper is organized as follows. In Section

Consider a MIMO system having

The random variable of AWGGN distribution rigorously depends on its shaping parameter

The PDF of the received signal envelope

The SNR

MMSE detection technique maximizes the postdetection SINR by minimizing mean-square error (MSE). In OSIC, SINR based ordering improves the performance of linear detection technique by maximizing SINR. This technique maintains the low complexity for designing hardware. It holds number of linear receivers in which each receiver classifies one of the parallel data streams with detected signal components. These signal components are successively canceled from the received signal at each stage [

The MMSE detection technique explained in [

Primarily, signals containing a higher postdetection SINR are detected in SINR based ordering. The linear MMSE detection with the postdetection SINR is represented by

The OSIC technique can offer diversity order greater than

The symbol error probability (SEP) has been given in [

Substituting (

The first special case of AWGGN emerges when

For

To evaluate the MIMO system performance, 16-QAM modulation is used as a function of SNR for the generalized case of noise. Therefore, distinct values of

The impact of the parameter

Firstly, composite WG fading is considered in Laplacian noise environment. To obtain Weibull and Rayleigh fading, the parameters are settled to

ASEP of 2 × 2 MIMO system using MMSE-OSIC over WG fading channel subject to Laplacian and Gaussian noise.

Afterward, Weibull and Rayleigh fading which are the special cases of WG fading are considered. In Figure

ASEP of 2 × 2 MIMO system for 16-QAM using MMSE-OSIC over Rayleigh fading channel with arbitrary values of

ASEP of 2 × 2 MIMO system for 16-QAM using MMSE-OSIC detection over Weibull fading channel (

This paper evaluates the ASEP performance of MIMO system in composite WG fading environment subject to AWGGN. Analytical expressions for ASEP are derived using 16-QAM consisting of two independent in-phase and quadrature signals of PAM. The MMSE-OSIC detection is used to improve the error rate performance of MIMO system. It is concluded from the results that the ASEP performance in Laplacian noise is better than that of Gaussian noise for low SNR. However, in less fading, performance is degraded for high SNR and improved error performance is obtained in Gaussian noise compared with Laplacian noise. In severe fading, improved error rate performance can be achieved in the presence Laplacian noise compared with Gaussian noise. In Rayleigh fading case, the system gives superior performance for low noise shaping parameter

The authors declare that there are no competing interests regarding the publication of this paper.