Cooperative Beam Selection Method using Location-based Fingerprint DB according to User Classification in UAV Support Systems

Abstract

Owing to their high-altitude and mobility characteristics, unmanned aerial vehicles (UAVs) are attracting attention as a key element of new radio (NR) systems because they can exceed the limits of terrestrial networks. However, UAVs at high altitudes can be greatly affected by inter-cell interference at a high line-of-sight (LOS) probability. Accordingly, we propose an algorithm that selects the optimal beam to reduce interference and maximize transmission efficiency. The pro-posed algorithm consists of two steps. It is divided into the process of constructing a user-location-based fingerprint database according to the user types presented herein and the process of cooperative beam selection. Simulations are conducted based on cellular cooperative downlink systems for performance analysis of the proposed method, and signal-to-interference-plus-noise cumulative distribution function (SINR CDF) and spectral efficiency cumulative distribution function (SE CDF) are used as performance analysis indicators. The simulation results confirm that the proposed algorithm can reduce the effect of interference and increase the performance of the desired signal. Moreover, the proposed algorithm can efficiently reduce overheads and system cost by reducing the amount of resources required for in-formation exchange.