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Massive multiple-input multiple-output (MIMO) is a critical technology forfuture fifth-generation (5G) systems. Reduced pilot contamination (PC) enhancedsystem performance, and reduced inter-cell interference and improved channelestimation. However, because the pilot sequence transmitted by users in asingle cell to neighboring cells is not orthogonal, massive MIMO systems arestill constrained. We propose channel evaluation using orthogonal pilot reusesequences (PRS) and zero forced (ZF) pre-coding techniques to eliminate channelquality in end users with poor channel quality based on channel evaluation,large-scale shutdown evaluation, and analysis of maximum transmissionefficiency. We derived the lower bounds on the downlink data rate (DR) andsignal-to-interference noise ratio (SINR) that can be achieved based on PRSassignment to a group of users where the number of antenna elements mitigatedthe interference when the number of antennas reaches infinity. The channelcoherence interval limitation, the orthogonal PRS cannot be allocated to allUEs in each cell. The short coherence intervals able to reduce the PC andimprove the quality of channel. The results of the modelling showed that higherDR can be achieved due to better channel evaluation and lower loss.

Estimation Large- Scale Fading Channels for Transmit Orthogonal Pilot Reuse Sequences in Massive MIMO System