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

Abstract

Core of the method is as following: in predefined time range, using independence of occurring events determines each time interval, when mobile users launch calling; based on the said each time interval, mobile users launch calling. Considering independence of occurring events in Poisson's distribution rule, the method searches time point, when mobile users launch calling, and makes mobile users launch calling at each time point. Thus, model for testing telephone traffic is better accorded with traffic model in Poisson's distribution rule. The invention simplifies method for testing telephone traffic so as to raise reliability of result for testing telephone traffic as well as raise feasibility for testing telephone traffic.

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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