Location-Aware Beamforming in 5G mmWave UDN. Part 1. Spatial Selection by Beam Shape Control

Beamforming (BF) using massive MIMO systems and antenna arrays (AA) on gNodeB (gNB) and user equipment (UE) is a breakthrough technology for 5G and B5G (Beyond 5G) Ultra-Dense Networks (UDN). The use of narrow beams makes it possible to compensate for high propagation losses in the range of millimeter waves (mmWave), as well as to solve the problem of densification of gNB and UE transceivers with their spatial selection. An approach of utilizing current location of UE, to which the gNB should orient its narrow beam, is termed Location-Aware Beamforming (LAB). The contribution of current research is quantitative establishment of the potential for spatial selection of useful Signal-Of-Interest (SOI) and suppressing interfering Signal-Not-Of-Interest (SNOI) for the scenario of two gNB→UE radio links, simultaneously operating in the same frequency band. Simulation results revealed, that antenna radiation pattern (ARP) maximum & null beam shape control is most effective with a small number of antenna elements and small UE location error. Matlab source code is available at https://github.com/grihafokin/LAB_spatial_selection.