Position adjustment in mobile communications networks

• US 9,817,103 B2
• Filed: 10/09/2014
• Issued: 11/14/2017
• Est. Priority Date: 10/09/2014
• Status: Active Grant

• Current Assignee: Telefonaktiebolaget LM Ericsson
• Original Assignee: Telefonaktiebolaget LM Ericsson
• Inventors: Ubeda Castellanos, Carlos, Faour, Nizar, Romero Garcia, Javier
• Primary Examiner(s): Milord, Marceau
• Application Number:
  US15/517,635
• Publication Number:
  US 20170254878A1
• Time in Patent Office: 1,132 Days
• Field of Search: 4554561, 4554042, 4554562, 4554563
• CPC Class Codes: G01S 5/02521 using a radio-map
• CPC Class Codes: G01S 5/0278 involving statistical or probabilistic considerations G01S5/0252, G01S5/0294 take precedence
• CPC Class Codes: H04W 64/00 Locating users or terminals or network equipment for network management purposes, e.g. mobility management

Abstract

The invention relates to a method for determining an adjusted position (63, 64) of a mobile entity in an area (90) of a mobile communications network based on a reference position (61, 62) of the mobile entity in the area (90), the area being divided into different pixels (91). The method comprises determining the reference position (61, 62) of the mobile entity in the area (90), determining, for each pixel (91) of the area (90), a predicted signal level of a radio frequency field of the mobile communications network for the mobile entity, determining, for each pixel (91) of the area (90), a mobile traffic density indicating an expected density of the mobile traffic of the mobile communications network in the area, and determining, for the area (90), a probability matrix (200) of the area based on the reference position (61, 62), the predicted signal level and the mobile traffic density, the probability matrix indicating a likelihood that the mobile entity is located in the corresponding pixel of the area. The method further comprises selecting one of the pixels for the mobile entity based on the probability matrix (200), the selected pixel corresponding to the adjusted position (63, 64) of the mobile entity in the area.

Claims

1. A method for determining an adjusted position of a mobile entity in an area of a mobile communications network based on a reference position of the mobile entity in the area, the area being divided into different pixels, the method comprising:

determining the reference position of the mobile entity in the area;

determining, for each pixel of the area, a predicted signal level of a radio frequency field of the mobile communications network for the mobile entity;

determining, for each pixel of the area, a mobile traffic density indicating an expected density of the mobile traffic of the mobile communications network in the area,

determining, for the area, a probability matrix of the area based on the reference position, the predicted signal level and the mobile traffic density, the probability matrix indicating a likelihood that the mobile entity is located in the corresponding pixel of the area,

selecting one of the pixels for the mobile entity based on the probability matrix, the selected pixel corresponding to the adjusted position of the mobile entity in the area.

2. The method according to claim 1, wherein determining the probability matrix comprises determining a distance weight for each pixel of the area, wherein the distance weight takes into account that the distance of each pixel to the reference position decays with the distance of the corresponding pixel to the reference position.

3. The method according to claim 1, wherein determining the probability matrix comprises determining a signal weight for each pixel, taking into account a signal difference between a reported radio frequency signal level reported by the mobile communications network and the predicted signal level, wherein the signal weight increases for one of the pixels when the signal difference decreases in said one pixel.

4. The method according to claim 3, wherein the reported radio frequency signal level is provided by different cells of the mobile communications network, wherein the highest signal level is used as the reported radio frequency signal level for determining the signal weight.

5. The method according to claim 3, wherein the reported signal level is calibrated to the predicted signal level before the signal difference is determined.

6. The method according to claim 1, wherein determining the probability matrix comprises determining a traffic weight for each pixel, taking into account the mobile traffic density in the different pixels, wherein the traffic weight increases in one of the pixels with the mobile traffic density in said one pixel.

7. The method according to claim 6, wherein the area is divided into different types of geographical sub-areas, wherein the traffic weight is assigned to each sub-area in such a way that the traffic weight is proportional to a density of mobile entities expected in the corresponding sub-areas.

8. The method according to claim 1, further comprising determining a pixel weight for each pixel of the area based on the probability matrix, the pixel weight indicating a likelihood of the location of the mobile entity in each of the pixels.

9. The method according to claim 8, wherein the pixel weight is determined for each pixel based on at least one of a distance weight, a signal weight and a traffic weight for the pixel, wherein the distance weight takes into account that the distance of each pixel to the reference position decays with the distance of the pixel to the reference position, the signal weight takes into account a signal difference between a reported radio frequency signal level reported by the mobile communications network and the predicted signal level of the pixel, and the traffic weight takes into account the mobile traffic density in the different pixels.

10. The method according to claim 8, wherein the adjusted position is determined for a plurality of mobile entities in the area, wherein the adjusted position is determined for each of the mobile entities, preserving a statistical distribution of the mobile entities given by the pixel weights determined for each of the mobile entities.

11. A position adjusting unit configured to determine an adjusted position of the mobile entity in an area of a mobile communications network based on a reference position of the mobile entity in the area, the area being divided into different pixels, comprising:

a receiver circuit configured to receive the reference position of the mobile entity in the area;

a processing circuit configured to;

determine, for each pixel of the area, a predicted signal level of a radio frequency field of the mobile communications network for the mobile entity; and

indicate an expected density of the mobile traffic of the mobile communications network in the area;

determine a probability matrix of the area based on the reference position, the predicted signal level and the mobile traffic density, the probability matrix indicating a likelihood that the mobile entity is located in the corresponding pixel of the area; and

select one of the pixels for the mobile entity based on the probability matrix, the selected pixel corresponding to the adjusted position of the mobile entity in the area.

12. The position adjusting unit according to claim 11, wherein the processing circuit, for determining the probability matrix, is configured to determine a distance weight for each pixel of the area, the distance weight taking into account the distance of each pixel to the reference position.

13. The position adjusting unit according to claim 12, wherein the receiver circuit is configured to receive a reported radio frequency signal level provided by different cells of the mobile communications network, the processing circuit being configured to use the highest signal level as the reported radio frequency signal level for determining the signal weight.

14. The position adjusting unit according to claim 11, wherein the processing circuit, for determining the probability matrix, is configured to determine a signal weight for each pixel of the area, taking into account a signal difference between a reported radio frequency signal level reported by the mobile communications network and the predicted signal level.

15. The position adjusting unit according to claim 11, wherein the processing circuit, for determining the probability matrix, is configured to determine a traffic weight for each pixel, taking into account the mobile traffic density in the different pixels.

16. The position adjusting unit according to claim 11, wherein the processing circuit is configured to determine a pixel weight for each pixel of the area based on the probability matrix, the pixel weight indicating a likelihood of the location of the mobile entity in the different pixels.

17. The position adjusting unit according to claim 16, wherein the processing circuit is configured to determine the adjusted position for a plurality of mobile entities in the area, wherein the processing circuit is configured to determine the adjusted position for each of the mobile entities, preserving a statistical distribution of the mobile entities given by the pixel weights determined for each of the mobile entities.

18. A non-transitory computer readable medium storing a computer program for determining an adjusted position of a mobile entity in an area of a mobile communications network based on a reference position of the mobile entity in the area, the area being divided into different pixels, the computer program comprising program code to be executed by at least one processing unit of a position adjusting unit of a mobile communications network, wherein execution of the program causes the at least one processing unit to:

determine the reference position of the mobile entity in the area;

determine, for each pixel of the area, a predicted signal level of a radio frequency field of the mobile communications network for the mobile entity;

determine, for each pixel of the area, a mobile traffic density indicating an expected density of the mobile traffic of the mobile communications network;

determine, for the area, a probability matrix based on the reference position, the predicted signal level and the mobile traffic density, the probability matrix indicating a likelihood that the mobile entity is located in the corresponding pixel of the area; and

select one of the pixels for the mobile entity based on the probability matrix, the selected pixel corresponding to the adjusted position of the mobile entity in the area.