Terminal spatiotemporal movement prediction method and device

Abstract

The embodiment of the invention provides a terminal space-time movement predication method and device. The method includes: obtaining movement information of a terminal, wherein the movement information includes a cell to which a terminal is switched in a movement process, a switching time used for switching to the cell and a duration for staying in the cell; according to the obtained movement information of the terminal, generating a historical movement sequence of the terminal and updating a historical movement sequence set of the terminal according to the historical movement sequence; and at a to-be-predicted time point, based on a cell which the terminal is currently in and a current time point of the terminal, according to the corresponding cell in the historical movement sequence set and the switching time and duration of the cell, predicting subsequent movement information of the terminal. The terminal space-time movement predication method and device are used for optimizing a method for predicting a user-terminal movement path which changes with time.

Description

technical field [0001] The embodiments of the present invention relate to the field of communication technologies, and in particular, to a method and device for predicting the spatio-temporal movement of a terminal. Background technique [0002] With the development of wireless communication technology, wireless network user terminals can freely communicate in any location in the world and freely contact during the movement process, and can approximate the geographical coordinates of user terminals by tracking the active cells of user terminals, because every Each district has its own definite geographical location. So far, there have been some methods for obtaining the location information of the user terminal, such as using the cell number as the geographic location of the user terminal, and a series of location-aware applications (Location Aware Applications, LAA) can use the geographic location information of the user terminal to provide some relevant information. Serve...

AI Technical Summary

Problems solved by technology

[0004] However, in the prior art, the method for predicting the future movement of the user terminal, one solution, only predicts the next cell or the subsequent cell sequence, but does not predict the change of the user terminal's movement over time; another solution, although it also extracts The information about the change of user terminal movement over time divides the movement of user terminals in the cell into many log records according to time intervals, but the latter method is divided into regular time extraction when there is a long-duration record in the time series When recording multiple logs, the extraction process will consume a lot of memory, and the prediction algorithm with short memory will repeatedly generate the same cell during prediction, that is, the method has the disadvantage of self-propagation

Therefore, none of the above methods in the prior art can accurately predict the future movement of the user terminal.

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