Performance Assessment of MIMO Precoding on Realistic mmWave Channels

In this paper, the performance of multi-user Multiple-Input Multiple-Output (MIMO) systems is evaluated in terms of SINR and capacity. We focus on the case of a downlink single-cell scenario where different precoders have been studied. Among the considered precoders, we range from different Grid of Beams (GoB) optimization approaches to linear precoders (e.g., matched filtering and zero forcing). This performance evaluation includes imperfect channel estimation, and is carried out over two realistic mmWave 5G propagation channels, which are simulated following either the measurement campaign done by New York University (NYU) or the 3GPP channel model. Our evaluation allows grasping knowledge on the precoding performance in mmWave realistic scenarios. The results highlight the good performance of GoB optimization approaches when a realistic channel model with directionality is adopted.Comment: to be published in IEEE ICC Workshop on Millimeter-Wave Communications for 5G and B5G, Shanghai, P.R. China, May, 201

Performance assessment of linear precoding for multi-user massive MIMO systems on a realistic 5G mmWave channel

International audienceIn 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