Direction of Arrival Positioning Requirements for Location-Aware Beamforming in 5G mmWave UDN

The rapid growth in the number of simultaneously operating transceivers in deployed radio access networks of the fifth and subsequent generations leads to the problem of an unacceptably high level of intra-system interference, provided they are densified to one device per square meter. Adaptive Location-Aware Beamforming (LAB) can potentially compensate for high interference levels by maximizing the antenna pattern to the source / receiver of the desired signal and minimizing the antenna pattern to the source / receiver of the interfering signal. The prerequisite for LAB is precise Direction of Arrival (DOA) positioning of neighbor user equipment (UE). This study analyzes the algorithm of multiple classification of UE signals from the gNodeB (gNB) point of view in the F2 millimeter wave (mmWave) frequency range. The content of this investigation can be divided into two parts. In the first part mathematical model of the DOA algorithm is given. In the second part simulation results for DOA scenarios in 5G mmWave Ultra-Dense Networks (UDN) are described. The contribution of this investigation is the 2D-MUSIC resolution estimation in 5G UDN scenarios, which reveals the dependence of the resolution threshold for 2D-MUSIC algorithm on the number of elements in the antenna array and Signal-to-Noise-and-Interference Ratio (SINR). Simulation results reveal, that the resolution of the 2D-MUSIC algorithm is achieved with two degrees angular separation of devices, the number of antenna array elements more than 64 and SINR more than 30 dB.