SVD-Based Semi-Blind Channel Estimation for Pilot Contamination Mitigation in Multi-Cell millimeter-Wave Massive MIMO Systems

Authors

  • Allanki Sanyasi Rao , Dr. Vikas Jaiman

Keywords:

mm-Wave, massive MIMO, Pilot contamination, Semi-Blind Channel estimation, Singular Value Decomposition, Cramér-Rao Bound

Abstract

Channel estimation accuracy limits the performance of multi-cell millimeter-wave (mm-Wave)massive MIMO systems, because reusing pilots across cells causes pilot contamination and inter-cellinterference (ICI). This paper proposes a low-complexity semi-blind channel estimator based on singular value decomposition (SVD) for multi-cell multi-user mm-Wave

References

[1] M. Xiao et al., "Millimeter Wave Communications for Future Mobile Networks," IEEE J. Sel. Areas Commun., vol. 35, no. 9, pp. 1909–1935, 2017.

[2] W. Keusgen, R. J. Weiler, M. Peter, M. Wisotzki, and B. Goktepe, "Propagation measurements and simulations for millimeter-wave mobile access in a busy urban environment," in International Conference on Infrared, Millimeter, and Terahertz Waves, IRMMW-THz, 2014, pp. 1–3, doi: 10.1109/IRMMW-THz.2014.6955989.

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Published

2024-11-20

How to Cite

Allanki Sanyasi Rao , Dr. Vikas Jaiman. (2024). SVD-Based Semi-Blind Channel Estimation for Pilot Contamination Mitigation in Multi-Cell millimeter-Wave Massive MIMO Systems. Journal of Computational Analysis and Applications (JoCAAA), 33(08), 8006–8014. Retrieved from https://eudoxuspress.com/index.php/pub/article/view/5885

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Articles