Abstract
In the future 5G system, the millimeter wave (mmWave) technology utilizes massive multiple-input multiple-output (MIMO) to increase the throughput and reliability. Due to the short wavelength of mmWave signals, more antennas can be adopted to alleviate severe channel pathloss. In this study, three novel algorithms of the joint RF and baseband precoding scheme are proposed to reduce the RF chain number and complexity. Moreover, a spatially-consistent mmWave channel model is proposed to verify the overall performance by the modified Quadriga channel. Comparing to the earlier works, the proposed algorithms lower the computation complexity and enable highly paralleled hardware architectures. In the beamtracking case, the computation complexity can be further cut down by reusing previous precoder results. In the rank-reduced mmWave channel simulation, the proposed precoding algorithms for the 16x16 linear antenna array MIMO systems can achieve the complexity reduction ratio of 60.3% to 66.9% for the case of 10 km/hr moving user in the linear track.