Performance Improvement for Multi-User Millimeter-Wave Massive MIMO Systems

IEEE ACCESS(2020)

Cited 9|Views6
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Abstract
In this paper, we study the problem of optimizing the performance of multi-user millimeter-wave (mmWave) communications in three steps. The first one is given by the use of a new pilot mapping to reduce the inter-user interference effect and to perform more accurate channel estimation. In the second step, we designed a hybrid receiver that, based on the accuracy of the channel state information, chooses between the minimum mean square error (MMSE) and the multi-user regularized zero-forcing beamforming (RZFBF) receivers, to combine/precode the massive multiple-input multiple-output (MIMO) signal. In the third step, we propose to improve the beam direction with a slight change in the azimuth angle during the uplink communications to increase the multi-user efficiency and reduce inter-user interference. Numerical results show the performance increase using the proposed solutions in terms of the spectral efficiency by comparing the MMSE, RZFBF, and hybrid receivers.
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Key words
Array signal processing,Radio frequency,Antenna arrays,MIMO communication,Receivers,Channel estimation,Hardware,5G NR,antenna array,beamforming,channel estimation,massive MIMO,millimeter-wave
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