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Accurate Performance Analysis of Coded Large-Scale Multiuser MIMO Systems with MMSE Receivers

Key Lab of Information Coding and Transmission, Southwest Jiaotong University, Chengdu 610031, China
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Sensors 2019, 19(13), 2884; https://doi.org/10.3390/s19132884
Received: 4 April 2019 / Revised: 15 June 2019 / Accepted: 25 June 2019 / Published: 28 June 2019
(This article belongs to the Section Sensor Networks)
In this paper, we estimate the uplink performance of large-scale multi-user multiple-input multiple-output (MIMO) networks. By applying minimum-mean-square-error (MMSE) detection, a novel statistical distribution of the signal-to-interference-plus-noise ratio (SINR) for any user is derived, for path loss, shadowing and Rayleigh fading. Suppose that the channel state information is perfectly known at the base station. Then, we derive the analytical expressions for the pairwise error probability (PEP) of the massive multiuser MMSE–MIMO systems, based on which we further obtain the upper bound of the bit error rate (BER). The analytical results are validated successfully through simulations for all cases. View Full-Text
Keywords: large-scale multi-user MIMO systems; SINR distribution; MMSE detector; convolutional code; performance analysis large-scale multi-user MIMO systems; SINR distribution; MMSE detector; convolutional code; performance analysis
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MDPI and ACS Style

Zhai, K.; Ma, Z.; Lei, X. Accurate Performance Analysis of Coded Large-Scale Multiuser MIMO Systems with MMSE Receivers. Sensors 2019, 19, 2884. https://doi.org/10.3390/s19132884

AMA Style

Zhai K, Ma Z, Lei X. Accurate Performance Analysis of Coded Large-Scale Multiuser MIMO Systems with MMSE Receivers. Sensors. 2019; 19(13):2884. https://doi.org/10.3390/s19132884

Chicago/Turabian Style

Zhai, Kai, Zheng Ma, and Xianfu Lei. 2019. "Accurate Performance Analysis of Coded Large-Scale Multiuser MIMO Systems with MMSE Receivers" Sensors 19, no. 13: 2884. https://doi.org/10.3390/s19132884

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