Ordered Successive Interference Cancellation ( Osic ) Is Adopted With Minimum Mean Square Error?

894 WordsOct 21, 20154 Pages
Abstract- In this paper, 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 increases the system complexity with improved error rate performance. Therefore, MMSE-OSIC detection is used which gives reduced error rate compared to traditional MMSE with a considerable level of complexity. The system performance is analyzed in a composite fading environment which deals with multipath and shadowing, known as Weibull-gamma (WG) fading environment. Along with the composite fading, a composite noise i.e. additive white generalized Gaussian noise (AWGGN) model is taken into account to form various noise scenarios such as impulsive, Gamma, Laplacian, Gaussian and uniform noise. Consequently, generalized Q- function is used to develop such noise scenario. 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 with AWGGN. Analytical expressions are evaluated in terms of Fox-H function (FHF). These expressions demonstrate the best fit to simulation results. Keywords- MIMO, MMSE-OSIC, WG fading, AWGGN, M-QAM, ASEP. 1. Introduction In MIMO systems, spatial multiplexing is used for high data rate transmission and spatial diversity is used to achieve reliable communication. However, there is a tradeoff between diversity and

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