Data flow positioning method and device
A technology of data flow and positioning method, applied in the fields of electrical components, wireless communication, network planning, etc., can solve the problem of inability to provide effective reference for WLAN and LTE site construction and site selection, unfavorable positioning of high-traffic areas and high-value areas, and data has not yet been proposed. Traffic positioning scheme and other issues to achieve the effect of improving the accuracy of site location selection
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Embodiment 1
[0059] figure 1 It is a schematic flowchart of a data traffic location method according to an embodiment of the present invention, as shown in figure 1 As shown, the method includes:
[0060] Step 101: Acquiring user information generating data traffic in each time slice;
[0061] Here, the analysis time needs to be divided into more than one time slice, and the divided time slices should be small enough to ensure the time granularity that the user does not generate a large displacement.
[0062] Step 102: Perform grid positioning based on users who generate data traffic in each time slice, locate the data traffic generated by users in each time slice into the grid, and determine the confidence of the data traffic positioned in the grid;
[0063] Here, grid positioning may be performed on all or part of users that generate data traffic in each time slice. For example, only users whose ratio of the data traffic generated in a time slice to the total data traffic in the time ...
Embodiment 2
[0089] figure 2 It is a schematic structural diagram of a data traffic locating device in Embodiment 2 of the present invention, which corresponds to the data traffic locating method described in Embodiment 1, as shown in figure 2 As shown, the device includes: a division module 21, a first acquisition module 22, a data traffic location module 23, and a second acquisition module 24; wherein,
[0090] A division module 21, configured to divide the analysis time into more than one time slice;
[0091] The first obtaining module 22 is used to obtain user information that generates data traffic in each time slice;
[0092] The data traffic positioning module 23 is configured to perform grid positioning based on users who generate data traffic in each time slice, locate the data traffic generated by users in each time slice into the grid, and determine the data traffic positioned in the grid confidence level;
[0093] The second acquisition module 24 is configured to acquire t...
Embodiment 3
[0107] Figure 4 It is a schematic flow chart of the data traffic location method described in Embodiment 3 of the present invention, as shown in Figure 4 As shown, the process includes:
[0108] Step 401: Obtain the total data traffic flow in a specified area and analysis time, and divide the analysis time into a plurality of sufficiently small time slices.
[0109] Here, the total data flow of the selected range and collection time is collected.
[0110] Step 402: Extract user information and cell information that generate traffic within the time slice.
[0111] Step 403: Select the kth user that generates traffic, and judge whether the user has a voice service within the time slice, if yes, execute step 404; otherwise, execute step 405.
[0112] Step 404: Obtain the MR of the user that occurred in the same cell within the time slice, perform grid positioning, and go to step 406.
[0113] Step 405: Determine if it is possible to find an alternative MR that occurred in t...
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