Telephone traffic quantity detection method and apparatus based on poisson distribution telephone-traffic model

Abstract

The present invention provides a traffic testing method and device based on a Poisson distribution traffic model. The core of the method is: within a predetermined time range, each time interval for a mobile user to initiate a call is determined according to the independence of event occurrence, and the mobile user Calls are initiated according to the time intervals. The present invention fully considers the independence of event occurrence in the Poisson distribution rule, and makes the mobile user initiate a call at each time point by finding the time point when the mobile user initiates a call, so that the traffic test model is more in line with the Poisson distribution. traffic model, and simplifies the traffic test method, thereby achieving the purpose of improving the reliability of the traffic test results and improving the feasibility of the traffic test.

Description

technical field [0001] The invention relates to the technical field of traffic testing of wireless communication equipment, in particular to a traffic testing method and device based on a Poisson distribution traffic model. Background technique [0002] With the continuous expansion of various communication equipment manufacturing companies in the wireless product market, the traffic test of wireless products has played a decisive role in the functional test and performance test of wireless products. [0003] The traffic test is usually realized through the traffic test tool, as shown in the attached figure 1 shown. exist figure 1 Among them, the traffic test tool mainly establishes the network structure of the entire wireless product by simulating the corresponding entity of the object under test in the protocol stack, and realizes the signaling interaction of each protocol layer between the object under test and the simulated entity. For example, the traffic test tool f...

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Problems solved by technology

[0006] In the above method, since it is necessary to calculate the number of MSs that initiate calls in each time interval Δt, and the number of MSs that have initiated calls in the previous or several previous time intervals must be considered during the calculation, the implementation process is complicated, and different The number of MSs that initiate calls within a time interval is highly coupled and cannot satisfy the basic characteristics of the Poisson distribution law, that is, the mutual independence of events, which makes the experimental results deviate greatly from the actual real situation, thus making the traffic test The reliability of the results is poor

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