Method, system and apparatus for network adaptation via learning based terrain sensing

Abstract

According to an aspect, a mobile device capable of communicating with a base station using a communication mode from plurality of communication modes comprising, a set of sensors configured to provide a data representing a terrain condition of the mobile device, a distributed machine learning engine determining a first terrain state at regular interval based on a current data and a past data received from the set of sensors, and an inference unit determining a second terrain state of the mobile device from the current data and the first terrain state, wherein, the base station allocating the communication mode from plurality of communication modes based on the second terrain state.

Dependencies are inferred from the claim text.