Strategy control method, device and system

Abstract

The invention discloses a strategy control method, device and system. The method comprises the steps of collecting telephone traffic statistical data of cells with one statistical cycle as a unit time within the sampling time, wherein the sampling time includes many days, each day has a plurality of statistical cycles, each statistical cycle corresponds to different time periods in one day, each cell corresponds to at least one base station, and a wireless network comprises the base stations of the cells; filtering the telephone traffic statistical data of the cells in statistical cycles corresponding to the same time period within the sampling time according to a filtering condition, counting filter results to predict whether the cells are busy cells or not, and when the cells are predicted as the busy cells, predicting the busy time period of the cells to generate list information at the busy time period of the busy cells; sending the list information at the busy time period of the busy cells to a PCRF entity device, and bringing convenience to the strategy and billing regulation functional entity device to carry restrictive strategy control according to the list information at the busy time period of the busy cells. By means of the mode, the strategy control method, device and system can decrease the misjudgment rate.

Description

technical field [0001] The present application relates to the communication field, in particular to a policy control method, device and system. Background technique [0002] Existing communication mainly adopts cellular communication, and by setting up multiple base stations, each base station covers a certain cell, thereby forming a cellular network. The conditions of the cells covered by different base stations are different. For example, the cells covered by the base stations located in commercial areas may be busy or even congested during working hours, while the cells covered by base stations located in residential areas may be busy or even congested during off-duty hours. Congestion, and cells covered by base stations located in remote suburbs may be relatively idle most of the time. Obviously, if no processing is performed in the congested cell, some users may use resource-consuming programs, such as P2P downloading, which will further increase the burden on the cong...

AI Technical Summary

Problems solved by technology

[0004] However, the cell load cannot be used as the basis for judging cell congestion. Even if the cell load is high, it cannot represent cell congestion. Therefore, in this way, the false positive rate is very high.

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