Performance Evaluation of Massive MIMO in Correlated Rician and Correlated Nakagami-m Fading

Research output: Chapter in Book/Report/Conference proceedingConference paperpeer-review

2 Citations (Scopus)


In this paper, we investigate the performance analysis of a multi-cell massive multiple-input multiple-output (MIMO) system that applies a conventional channel estimation technique, namely the linear Minimum Mean Square Error (LMMSE) over correlated Rician and correlated Nakagami-m fading channels. Based on this analysis, we find that increasing the line-of-sight (LOS) component can enhance the system performance in terms of the channel estimation accuracy, and the pilot contamination can be eliminated with both usage of very large number of antennas and applying large values of the K-Rice fading factor for the Rician fading channel model. Similarly, the pilot contamination will be eliminated via using large values of antenna and applying large values of m-shaping factor for the Nakagami-m fading channel. In addition, the effect of correlation can be reduced with both large values of the m-shaping factor and the number of antennas.
Original languageEnglish
Title of host publication9th International Conference on Next Generation Mobile Applications, Services and Technologies, 2015.
Publication statusE-pub ahead of print - 7 Jan 2016


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