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Load balancing handover optimization method and system based on user mobile location prediction

A technology for user mobility and load balancing. It is used in location-based services, network traffic/resource management, and electrical components. It can solve problems such as insufficient utilization of base station resources and inaccurate predictions, so as to improve accuracy and achieve mobility. Manage and change the effect of load balancing

Active Publication Date: 2022-02-18
DONGGUAN UNIV OF TECH
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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

Method used

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  • Load balancing handover optimization method and system based on user mobile location prediction
  • Load balancing handover optimization method and system based on user mobile location prediction
  • Load balancing handover optimization method and system based on user mobile location prediction

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Embodiment

[0047] Such as figure 1 The flow chart of the load balancing handover optimization method based on user mobile position prediction shown, see figure 1 , the method includes:

[0048] S1. Determine the mobile cycle of the user's mobile location, take the mobile cycle as a benchmark, collect the user's location data for each day in the mobile cycle, and establish a user location database for each day;

[0049] In this embodiment, the moving period of the user's moving position is one week, and from Monday to Sunday, the movement prediction is carried out for the user's position, and the user's daily moving trajectory is fully excavated. Considering that the user's moving trajectory is based on weekly Changes are made on a 7-day cycle instead of a one-day cycle, that is, the user's location trajectory has a weekly regularity, which lays the foundation for accurate prediction of the user's movement trajectory.

[0050] S2. Based on artificial intelligence technology, use the use...

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Abstract

The present invention proposes a load balancing switching optimization method and system based on the prediction of the user's mobile location, which overcomes the defect of inaccurate prediction in the current method. The user's mobile trajectory changes with a certain mobile cycle, and the location trajectory has a weekly regularity. Establish a user location database, and further use artificial intelligence technology to obtain a user mobile location model, improve the accuracy of user location trajectory prediction, and estimate the future load growth of the community. and take it as part of the current cell load, that is, soft load, and use the soft load of the cell as a measure of load balancing in the current network, turning the original reactive load balancing into a proactive and proactive one Load balancing to realize intelligent mobile management of users and change the load balancing of traditional networks with hindsight.

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...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04W4/029H04W16/22H04W28/08H04W36/22H04W36/32
CPCH04W4/029H04W16/22H04W36/32H04W36/22H04W28/0861
Inventor 黄妙娜周清峰
Owner DONGGUAN UNIV OF TECH
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