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Efficient Detection for Improving ASEP Performance of MIMO Composite Fading Channel with Generalized Noise

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Abstract

Multiple-input multiple-output (MIMO) system has achieved significant benefits by applying optimum detection techniques. Maximum likelihood (ML) detection technique improves the error rate performance of MIMO system at optimum level but with enhanced complexity. Therefore, we have considered minimum mean square error-ordered successive interference cancellation with candidate detection to approach the performance of ML with reduced complexity. The proposed system performance is analyzed in composite Weibull–gamma fading and additive white generalized Gaussian noise (AWGGN) scenario. Some special cases of WG fading and AWGGN yield the simplified results.

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Authors and Affiliations

  1. Department of Electronics and Communication Engineering, Jaypee University of Information Technology, Waknaghat, Solan, H.P., 173234, India

    Keerti Tiwari & Sunil V. Bhooshan

  2. Department of Electronics and Communication Engineering, Chandigarh College of Engineering and Technology, Chandigarh, 160019, India

    Davinder S. Saini

Authors
  1. Keerti Tiwari
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  2. Davinder S. Saini
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  3. Sunil V. Bhooshan
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Correspondence to Keerti Tiwari.

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Tiwari, K., Saini, D.S. & Bhooshan, S.V. Efficient Detection for Improving ASEP Performance of MIMO Composite Fading Channel with Generalized Noise. Wireless Pers Commun 98, 2913–2923 (2018). https://doi.org/10.1007/s11277-017-5007-4

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