Load balancing switching optimization method and system based on user moving position prediction

Abstract

According to the load balancing switching optimization method and system based on user movement position prediction, the defect that prediction is inaccurate in a current method is overcome, movement prediction is carried out on the position of the user, the daily movement track rule of the user is fully mined, it is considered that the movement track of the user changes according to a certain movement period, The position track has weekly regularity, establishing a user position database, further utilizing an artificial intelligence technology to obtain a user moving position model, improving the prediction accuracy of the user position track, estimating the future load increment of the cell, and taking the load increment as a part of the load capacity of the cell at the current moment, namely a soft load; and the soft load capacity of the cell is used as a measurement index for load balancing of the current network, and the original reactive load balancing is changed into advanced sensing and active load balancing, so that the intelligent mobile management of the user is realized, and the post-sensing and post-perceiving load balancing of the traditional network is changed.

Description

technical field [0001] The present invention relates to the technical field of mobile communication, and more specifically, to a method and system for load balancing handover optimization based on user mobile position prediction. Background technique [0002] With the continuous development of mobile communication technology, a large number of small base stations are widely deployed to increase network capacity. Some hotspots tend to gather more users than others. Due to the uneven distribution of users in the communication network, some base stations are overloaded due to too many users, and at the same time, other base stations are relatively idle with light loads. Users in hotspot cells may encounter poor service experience because the base station cannot provide sufficient resources in time. In order to improve the service quality of users and make full use of the idle resources of base stations with lighter loads, it is necessary to carry out resource and user load con...

AI Technical Summary

Problems solved by technology

[0005] In order to overcome the defect of inaccurate prediction in the current method for predicting network user's mobile location trajectory, which may easily lead to insufficient utilization of base station resources, the present invention proposes a load balancing switching optimization method and system based on user mobile location prediction to improve user Accuracy of mobile trajectory prediction, and selection of appropriate base station resource handover target cell for mobile users, so as to realize intelligent mobile management of users

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