Preprint Article Version 1 This version is not peer-reviewed

Performance Analysis of Large-Scale MU-MIMO With a Simple and Effective Chanel Estimator

Version 1 : Received: 13 August 2019 / Approved: 16 August 2019 / Online: 16 August 2019 (07:16:53 CEST)

How to cite: Pereira de Figueiredo, F.A.; Ferreira Dias, C.; Rodrigues de Lima, E.; Fraidenraich, G. Performance Analysis of Large-Scale MU-MIMO With a Simple and Effective Chanel Estimator. Preprints 2019, 2019080173 (doi: 10.20944/preprints201908.0173.v1). Pereira de Figueiredo, F.A.; Ferreira Dias, C.; Rodrigues de Lima, E.; Fraidenraich, G. Performance Analysis of Large-Scale MU-MIMO With a Simple and Effective Chanel Estimator. Preprints 2019, 2019080173 (doi: 10.20944/preprints201908.0173.v1).

Abstract

Accurate channel estimation is of utmost importance for massive MIMO systems that allow providing significant improvements in spectral and energy efficiency. In this work, we investigate the spectral efficiency performance and present a channel estimator for multi-cell massive MIMO systems subjected to pilot-contamination. The proposed channel estimator performs well under moderate to aggressive pilot contamination scenarios without prior knowledge of the inter-cell large-scale channel coefficients and noise power. The estimator approximates the performance of a linear Minimum Mean Square Error (MMSE) as the number of antennas increases. Following, we derive a lower bound closed-form spectral efficiency of the Maximum Ratio Combining (MRC) detector in the proposed channel estimator. The simulation results highlight that the proposed estimator performance approaches the linear minimum mean square error (LMMSE) channel estimator asymptotically.

Subject Areas

massive MIMO; multi-cell; pilot contamination; channel estimation

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