Adaptive pilot decontamination in multi-cell massive MIMO networks

Hossein Akhlaghpasand () and S. Mohammad Razavizadeh ()
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Hossein Akhlaghpasand: Iran University of Science and Technology (IUST)
S. Mohammad Razavizadeh: Iran University of Science and Technology (IUST)

Telecommunication Systems: Modelling, Analysis, Design and Management, 2017, vol. 66, issue 3, No 12, 515-522

Abstract: Abstract This paper considers the contaminated channel estimation in multicell very large multiuser multiple-input multiple-output networks. To provide desirable spectral efficiency of these systems, we propose two adaptive algorithms which their implementations do not require orthogonal pilot sequences. The first algorithm (i.e., normalized least mean square) has low complexity and also gives an acceptable spectral efficiency in channels with low attenuation. The second algorithm (i.e., recursive least square) is more robust against pilot contamination and provides the desirable spectral efficiency in very large number of antennas at the base stations. In simulations, the performance of the proposed algorithms is evaluated and also compared with the performance of the conventional minimum mean square error estimation.

Keywords: Very large MU-MIMO systems; Massive MIMO; Spectral efficiency; Pilot contamination; Channel estimation (search for similar items in EconPapers)
Date: 2017
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Citations: View citations in EconPapers (3)

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DOI: 10.1007/s11235-017-0302-7

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