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Performance Assessment of Linear Precoding for Multi-User Massive MIMO Systems on a Realistic 5G mmWave Channel

Mariam Hassan 1, 2, 3 Ammar Falou 3 Charlotte Langlais 1, 2
2 Lab-STICC_IMTA_CACS_IAS
Lab-STICC - Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance
Abstract : In this paper, the performance of multiuser (MU) massive multiple-input multiple-output (MIMO) systems is evaluated in terms of bit error rate (BER). We focus on the case of a downlink single-cell scenario with linear precoding as zero forcing (ZF) and conjugate beamforming (CB). This performance evaluation is done over a statistical mmWave 5G propagation channel, using NYUSIM channel simulator developed by New York University in 2015. A study of the channel response characteristics is provided to define the system parameters. Simulation results in single-user scenario show better performance with an increasing number of base station antennas due to the increase of system diversity. For multiuser scenario, the performance degrade for a higher number of cell users due to inter-user interference.
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Submitted on : Tuesday, June 12, 2018 - 9:52:30 AM
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Mariam Hassan, Ammar Falou, Charlotte Langlais. Performance Assessment of Linear Precoding for Multi-User Massive MIMO Systems on a Realistic 5G mmWave Channel. MENACOMM 2018 : IEEE Middle East and North Africa Communications Conference, Apr 2018, Jounieh, Lebanon. ⟨10.1109/MENACOMM.2018.8371025⟩. ⟨hal-01813163⟩

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