Wireless communication method using on-device learning-based machine learning network

Abstract

Disclosed is a wireless communication method using an on-device learning-based machine learning network. A method according to one embodiment of the present specification comprises the steps of: generating a learning list on the basis of one or more location samples collected while a terminal communicates through a network; when an event associated with any one of one or more first items included in the learning list is detected, obtaining training data for updating, to a second machine learning network, a first machine learning network to be applied to a receiver of the terminal; and updating the first machine learning network by using the training data, and thereby the method provides a wireless communication service adaptive to an actual communication environment. A system including at least one processor of the present specification may be associated with an artificial intelligence module, a drone (unmanned aerial vehicle (UAV)), a robot, an augmented reality (AR) device, a virtual reality (VR) device, devices related to 5G services, etc.

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