Method and device of predicting telephone traffic and channel configuration

Abstract

The invention discloses a method of predicting telephone traffic and channel configuration. Calculating cell channel congestion rate in clustering and iterating mode; calculating the cell telephone traffic according to the cell channel congestion and the cell channel configuration; calculating the cell predicting telephone traffic combining with the predicting cell telephone growth trend, according to the cell telephone traffic; re-configuring the cell channel, after calculating the cell channel configuration, according to the cell predicting telephone traffic. The invention also discloses a device of predicting telephone traffic and channel configuration, which includes a channel congestion rate calculating module, a telephone traffic calculating module, a predicting telephone traffic calculating module and a channel configuration module. The invention reflects the cell actual telephone traffic and congestion rate more correctly, in order to predict the actual telephone traffic demand of users, perform reasonable telephone traffic analysis and resources configuration for the cell, greatly reduce the work load of cell channel planning modification in later period and improve the effectiveness of network traffic and channel planning.

Description

technical field [0001] The present invention mainly relates to the field of wireless communication, in particular to a method and device for predicting traffic volume and channel allocation. Background technique [0002] In the network planning of the wireless communication system, forecasting the traffic volume of the voice service is an important prerequisite for network scale planning. At present, there are two methods for predicting the traffic volume as follows: [0003] 1) Predict the number of users in a certain cell, estimate the traffic volume of a single user, perform statistical calculations on the estimated traffic volume of a single user, obtain the traffic volume of the system, and then distribute it proportionally according to the actual traffic volume of each cell , and then according to the requirements of the service level (GOS, Grade of Service), refer to the ERLANG-B formula to configure the channel of the cell; [0004] 2) According to the statistics o...

AI Technical Summary

Problems solved by technology

[0005] It can be seen from the above methods that the traffic forecasting method in the prior art is based on the macroscopic trend of the network, and at the same time plans and forecasts according to the universality requirements of the GOS, but the actual development of network traffic often exceeds expectations , therefore, for cells with large fluctuations in traffic volume, the traffic volume predicted by the existing technology and the cell channel configuration often cannot truly predict the actual traffic demand of users, and cannot meet the traffic growth trend. On the network indicators, there are adverse phenomena such as increased traffic overflow rate and lower connection rate

In addition, the existing traffic forecasting and channel allocation technology cannot accurately reflect the trend of traffic growth, so it is impossible to accurately predict the cells with large traffic fluctuations

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