Method and device for predicting telephone traffic

Abstract

The invention provides a method and a device for predicting telephone traffic, which can predict the telephone traffic and are beneficial to avoiding the influence of unreasonable resource allocationon services. The method comprises the steps that a second management device sends a first message to a first management device, the first message is used for requesting the first management device toperform telephone traffic prediction, the first message comprises a prediction object, a telephone traffic type and prediction demand information, and the prediction demand information comprises prediction granularity and / or a prediction period, wherein the prediction granularity comprises at least one of a prediction area, a prediction service type, a prediction slice, a prediction cell, a prediction land public mobile communication network PLMN or a prediction tenant; and the first management device receives the first message and determines the telephone traffic corresponding to the telephone traffic type for the prediction object according to the prediction demand information.

Description

technical field [0001] The present application relates to the communication field, in particular to a method and device for predicting traffic in the communication field. Background technique [0002] With the increase of terminal devices and the diversity of services, the network becomes more and more complex, making network operation and maintenance more and more difficult. Network optimization and on-demand scheduling of network resources are key factors for fast service assurance and improved customer experience. [0003] Existing network optimization mechanisms consider taking measures to optimize the network after discovering network performance degradation (such as traffic congestion), but network optimization is a time-consuming process, that is, it is necessary to implement optimization algorithms, effect evaluation, decision-making, Necessary steps such as reconfiguration, therefore, will affect business requirements within a certain period of time, which may lead...

AI Technical Summary

Problems solved by technology

Existing wireless resources are allocated in a static way, which will cause too many wireless resources at certain points in time and in some areas, or insufficient wireless resources at certain points in time and in some areas, resulting in unreasonable resource allocation and affecting Business needs

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