An intelligent computing device detects a plurality of candidate beams irradiated from a base station, clusters at least one of the plurality of candidate beams into at least one candidate cluster using a clustering algorithm, selects an optimal beam based on a received signal strength of each candidate beam in the at least one candidate cluster; and receives a signal using the optimal beam, and thus can reduce a beam failure rate by learning user's movement pattern of a UE through machine learning and performing a beam tracking function based on this. At least one of the base station, the UE, the intelligent computing device, and a server can be associated with an artificial intelligence module, an unmanned aerial vehicle (UAV), a robot, an augmented reality (AR) device, a virtual reality (VR) device, devices related to 5G services, etc.