METHOD AND DEVICE FOR GENERATING USER MOBILITY MODEL OF CELLULAR NETWORK

• US 20100298007A1
• Filed: 12/17/2008
• Published: 11/25/2010
• Est. Priority Date: 12/26/2007
• Status: Active Grant

• Current Assignee: China Mobile Group Beijing Co., Ltd. (China Mobile Limited)
• Original Assignee: China Mobile Group Beijing Co., Ltd. (China Mobile Limited)
• Inventors: Li, Miao, Yang, Xiaofan, Gao, Jiang, Bi, Wentong, Zhou, Lifen, Wang, Fangyuan, Sun, Wei, Wang, Gang, Huang, Li, Liu, Hui
• Granted Patent: US 8,249,548 B2
• Time in Patent Office: Days
• US Class Current: 455/456.1
• CPC Class Codes: H04W 16/22 Traffic simulation tools or models
• CPC Class Codes: H04W 60/00 Affiliation to network, e.g. registration; Terminating affiliation with the network, e.g. de-registration
• CPC Class Codes: H04W 8/02 Processing of mobility data, e.g. registration information at HLR [Home Location Register] or VLR [Visitor Location Register]; Transfer of mobility data, e.g. between HLR, VLR or external networks

Abstract

A method for generating a user mobility model includes: firstly deriving user movement tracks of all the users in a cellular network and then generating from the user movement tracks a user mobility model involving a user traffic between home cells of any two of path points in the cellular network. Thus, a cell can be re-divided into respective location areas according to the generated user mobility model to thereby deploy reasonably various network resources in the GSM network according to the re-divided positional zones. The invention further discloses a method and device for generating a user movement track and a device for generating a user mobility model.

Claims

1. A method for generating a user movement track, comprising:

deriving all known path points that a user passes, wherein all the known path points are arranged in a temporal sequence in which user events occur with the user at the respective known path points;

deriving a known user movement track between adjacent two of the known path points based upon the temporal sequence;

generating an unknown user movement track containing at least one unknown path point between two adjacent known path points satisfying a preset condition; and

connecting the known user movement tracks and the unknown user movement tracks in a temporal sequence to derive a user movement track of the user.

2. The method of claim 1, wherein the preset condition comprises that a period of time taken by the user to pass the two adjacent known path points exceeds a preset threshold.

3. The method of claim 2, wherein generating the unknown user movement track between the two adjacent known path points comprises:

deriving a period of time taken by the user to move from a first known path point to a second known path point adjacent to the first known path point;

determining, from the period of time, the maximum number of unknown path points contained in an unknown user movement track between the first known path point and the second known path point;

determining all unknown path points that the user possibly passes, and generating, from the maximum number, all user paths that can be used by the user to move from the first known path point to the second known path point; and

selecting and determining one of all the user paths as an unknown user movement track between the first known path point and the second known path point.

4. The method of claim 3, wherein the maximum number of unknown path points contained in an unknown user movement track between the first known path point and the second known path point is determined by a formula

5. The method of claim 3, wherein selecting one of all the generated user paths comprises:

deriving absolute use probabilities of all the generated user paths;

deriving relative use probabilities of all the generated user paths from the absolute use probabilities of all the generated user paths; and

selecting randomly one of all the generated user paths according to the relative use probabilities of the respective user paths.

6. The method of claim 5, wherein deriving the absolute use probability of a user path comprises:

deriving probabilities of transition of path points including known and unknown path points contained in the user path to their adjacent succeeding path points; and

multiplying the derived probabilities of transition.

7. The method of claim 5, wherein each of the relative use probabilities of the user paths is determined by a formula

8. The method of claim 1, wherein the user events comprise powering on or off, reception or transmission of a short message, dialing a call, answering a call, hanging up or a location update for crossing location areas.

9. The method of claim 1, further comprising:

deriving user movement tracks of all users in a cellular network; and

generating, from the user movement tracks of all the users, a user mobility model involving a user traffic between any two of path points in the cellular network, wherein the path points comprise known and unknown path points.

10. The method of claim 9, wherein the cellular network is re-divided into location areas according to the mobility model, so that differences between total network loads of all the location areas are less than a preset threshold.

11. The method of claim 10, wherein a user traffic at a boundary between any two of all the location areas that are physically adjacent is less than a preset threshold.

12. A device for generating a user movement track, comprising:

a derivation unit adapted to derive all known path points that a user passes, wherein all the known path points are arranged in a temporal sequence in which user events occur with the user at the respective known path points, and derive a known user movement track present between adjacent two of the known path points based upon the temporal sequence;

a storage unit adapted to store the information derived by the derivation unit and a preset condition for determining whether to generate an unknown user movement track between two adjacent known path points;

a processing unit adapted to generate an unknown user movement track containing at least one unknown path point between two adjacent known path points satisfying the preset condition; and

a connection unit adapted to connect the known user movement tracks and the unknown user movement tracks in a temporal sequence to derive a user movement track of the user.

13. The device of claim 12, wherein the processing unit generates the unknown user movement track between the two adjacent known path points when user events occur with the user respectively at the two adjacent known path points at an interval of time exceeding a preset threshold.

14. The device of claim 12, wherein when generating the unknown user movement track between the adjacent first and second known path points, the processing unit determines, from a period of time taken by the user to move from the first known path point to the second known path point, the maximum number of unknown path points contained in the unknown user movement track;

generates, from the maximum number and all unknown path points that the user possibly passes, all user paths that can be taken by the user to move from the first known path point to the second known path point; and

determines a selected one of all the user paths as the unknown user movement track.

15. The device of claim 14, wherein when selecting one of all the generated user paths, the processing unit derives absolute use probabilities of all the generated user paths, derives relative use probabilities of all the generated user paths from the absolute use probabilities of the user paths, and selects randomly one of all the generated user paths according to the relative use probabilities of the user paths.

16. The device of claim 12, further comprising:

a generation unit adapted to generate, from user movement tracks of all the users in a cellular network derived by the connection unit, a user mobility model involving a user traffic between any two of path points in the cellular network, wherein the path points comprise known and unknown path points.

17. The device of claim 16, further comprising:

a planning unit adapted to re-divide the cellular network into location areas according to the mobility model, so that a user traffic at a boundary between any two of the respective re-divided location areas that are physically adjacent is less than a preset threshold.