Future wireless networks will require to transfer much greater amount of data at much higher speed. To deal with this fast-increasing demand of higher data rate and low latency, the carrier frequency needs to be increased in order to expand the bandwidth available for the transmissions. This is the reason why wireless communications are moving towards mmWave (5G) and even TeraHertz (6G) frequency bands. Increasing the carrier frequency will provide a wider bandwidth, nevertheless an optimal PHY layer scheme is necessary to increase the spectral efficiency. These promising technologies however come at a cost, the higher frequency yields limitations on the propagations of the signals in the environment. To address this problem, highly directional beamforming is exploited to increase the antennas’ gain. This thesis will propose a solution for the scheduling of MU-MIMO system by employing Hybrid Beamforming based on Dirty Paper Coding. The Hybrid precoder consists of a digital baseband precoder and an analog RF precoder, in this way it reduces the hardware complexity and the power consumption.