WO2017188894A1

WO2017188894A1 - A geolocating system for a mobile device

Info

Publication number: WO2017188894A1
Application number: PCT/SG2017/050218
Authority: WO
Inventors: Poh Beng Tan; Joon Keng Yong; Keen Hon Wong; Caitan Fernandes ROBERT
Original assignee: Certis Cisco Security Pte Ltd
Current assignee: Certis Cisco Security Pte Ltd
Priority date: 2016-04-29
Filing date: 2017-04-20
Publication date: 2017-11-02
Anticipated expiration: 2018-10-29
Also published as: CN108474833A; AU2017255214B2; SG11201804586PA; AU2017255214C9; MY195196A; AU2017255214A1; AU2017255214B9; HK1257777A1; AU2017255214C1

Abstract

A method and system for determining a geolocation of a mobile device, which comprises capturing a plurality of first radio parameters of a first cellular tower, capturing a plurality of second radio parameters of a second cellular tower, wherein the plurality of second radio parameters are locally unique radio parameters, tagging the plurality of second radio parameters to the plurality of first radio parameters, generating a plurality of base cell models using the plurality of first and second radio parameters, extracting a plurality of resultant cell models based on a position query from the mobile device and plurality of base cell models, and determining the geolocation of the mobile device from the plurality of resultant cell models, whereby the geolocation of the mobile device is statistically determined using the plurality of resultant cell models.

Description

A G E OLOCATING SYST E M FOR A MOBIL E DEVIC E Field of the Invention

The present invention relates to a geolocating system for a mobile device. S pecifically, the geolocating system information from cellular towers and cell models to determine the position of the mobile device.

Background of the Invention

The location of a mobile device may be determined using alternative methods otherthan the usual satellite-based signals like G lobal Positioning System (G PS ), and these typically use information from cellular towers. With the advancement of mobile technology to 3G/4G, mobile devices no longer keeps track of complete G lobally unique Identification (G UID) of the neighboring cells, only non-unique local radio parameter for other neighboring Cell Tower. By not keeping track of the G UID of neighboring cells, this improves the performance and reduces power consumption of the mobile device. Therefore, the traditional method to geo-locate a mobile device using GUID of registered cell and neighboring cells is no longer viable. The traditional method is unable to distinguish the ambiguity of which neighboring cells the mobile device is able to detect.

One of these methods is known as a disambiguation technique described in US 2014/0243010. The disambiguation technique uses disambiguation information that is associated with the cellular tower that the mobile device is currently based on by using a radio scene received at the mobile device and mapping it to an estimate of the device s location. The radio scene is typically a list of all the radio transmitters or cellular towers that the mobile may detect. The mapping may then be carried out using techniques like trilateration or based on a predictive model learnt undersupervision, in orderto unambiguously identify as many of the neighboring visible transmitters as possible. However, the disambiguation technique requires a large amount of processing compared to traditional methods and is also prone to disambiguation errors. Conventional methods essentially work by disambiguating the non-unique parameters of the neighboring towers to their associated globally unique IDs. The present invention was developed with a view to providing a solution that would alleviate these issues, by having a system and method that would allow mobile phones to determine their geolocation faster and more accurately than existing methods.

References to prior art documents in this specification are provided for illustrative purposes only and are not to be taken as an admission that such prior art is part of the common general knowledge in S ingapore or elsewhere.

S ummary of the Invention

The above and other problems are solved and an improvement in the art is made by a method and system in accordance with this invention. A first advantage in accordance with this invention is that a mobile device is able to determine its geolocation without using G PS and by using existing cellular tower information. This provides a mobile device with a fast and accurate geolocation service without requiring extra infrastructure or modifications to the cellular network and allows for geolocation indoors or places that do not have satellite coverage. A second advantage in accordance with this invention is the faster determination of the geolocation of a mobile device. This is because every tagged record acts as a unique cell model, thus requiring less processing and making the search and estimation shorted. A third advantage in accordance with this invention is the lack of ambiguity. This is improves the accuracy by using the unique cell models generated with the local non-unique parameters having the same global unique parameters.

In accordance with a first aspect of the present invention, there is provided a method for determining a geolocation of a mobile device comprising capturing a plurality of first radio parameters of a first cellular tower, then capturing a plurality of second radio parameters of a second cellular tower, wherein the plurality of second radio parameters are locally unique radio parameters. The method includes tagging the plurality of second radio parameters to the plurality of first radio parameters. The method further includes generating a plurality of base cell models using the plurality of first and second radio parameters, then extracting a plurality of resultant cell models based on a position query from the mobile device and the plurality of base cell models, and statistically determining the geolocation of the mobile device using the plurality of resultant cell models. Additionally, the plurality of first radio parameters are globally unique. Also the first radio parameter is a globally unique tower ID of a cellular tower. Additionally, this globally unique tower ID of a cellular tower can be a mobile country code (MC C), a mobile network code (MNC), a location area code (LAC), or a C ell ID (CID). Further, the first radio parameter can be a UT RA Absolute Radio Frequency C hannel Number (UAR FC N), a Primary S crambling Code (PS C) or a Received S ignal Strength Indicator (R S S I).

According to a further embodiment of the invention, the second radio parameter is a combination of any of a UTRA Absolute Radio Frequency C hannel Number (UAR FC N), a P rimary S crambling Code (PS C) or a Received S ignal Strength Indicator (RS S I).

In accordance with another embodiment of the invention, the second radio parameter is a location provided by a G lobal P ositioning System (G PS) or a location provided by a user defined coordinate. Alternatively, another embodiment of the invention has the second radio parameter being a location provided by a plurality of technical parameters of a mobile network, wherein the plurality of technical parameters are converted into coordinates.

According to a further embodiment of the invention, the step of generating a plurality of base cell models is repeated with a plurality of third radio parameters, wherein the third radio parameters are locally unique and different from the second radio parameters. Also, the plurality of base cell models are combined using contouring, interpolation, triangulation, or fingerprinting.

According to another embodiment of the invention, the position query is based on any one or a combination of more than one method of identifying a location, such as a global unique identification (G UID), a local unique parameter, or a R eceived S ignal Strength Indicator (R S S I).

In yet another embodiment of the invention, the step of extracting a plurality of resultant cell models further includes determining a method of presentation using overlap, triangulation or exclusion. Further, the resultant cell models are extracted from the position query pointing to the location with the greatest overlap, point of intersection or exclusion. Yet further in accordance with an embodiment of the invention, the geolocation of the mobile device is statistically determined based on a normal, a Gaussian, or a point confident technique.

According to an embodiment of the invention, the step of generating a plurality of base cell models is based on the plurality of first radio parameters and the plurality of second radio parameters stored in a database memory of a server.

In accordance with an embodiment of the invention, a system for determining a geolocation of a mobile device is disclosed, which has a server with means for communicating with a mobile device, a database in communication with the server to store a plurality of first radio parameters of a first cellular tower collected by a collecting device. In this embodiment, the database also stores a plurality of second radio parameters of a second cellular tower, and the plurality of second radio parameters are tagged to the plurality of first radio parameters to create a base cell model and the base cell model is stored on the database. Where upon a request from the mobile device, the server generates the geolocation based on extraction of the base cell model.

According to an embodiment of the invention, the plurality of first radio parameters are globally unique. Further, the first radio parameter is a globally unique tower ID of a cellular tower, a mobile country code (MC C), a mobile network code (MNC), a location area code (LAC), or a Cell ID (CID). In another embodiment of the invention, the first radio parameter is a UT RA Absolute Radio Frequency C hannel Number (UAR FC N), a Primary S crambling Code (PS C) or a Received S ignal Strength Indicator (R S S I).

In another embodiment of the invention, the second radio parameter is a combination of any of a UTRA Absolute Radio F requency C hannel Number (UAR FC N), a P rimary S crambling Code (PS C) or a Received S ignal Strength Indicator (RS S I). In a further embodiment of the invention, the second radio parameter is a location provided by a G lobal P ositioning System (G PS) or a location provided by user defined coordinate. In yet another embodiment of the invention, the second radio parameter is a location provided by a plurality of technical parameters of a mobile network, where the plurality of technical parameters are converted into coordinates. According to an embodiment of the invention, a further base cell model is generated with a plurality of third radio parameters, where the third radio parameters are locally unique and different from the second radio parameters. Further to this, a resultant cell model is extracted from a plurality of base cell models based on a normal, Gaussian, or point confident technique, and the geolocation of the mobile device is determined from the resultant cell model. According to a further embodiment, the step of extracting the resultant cell model is repeated to generate a plurality of resultant cell models and the geolocation of the mobile device is determined using a normal, Gaussian, or point confident technique.

In an embodiment of the invention, the plurality of base cell models are combined using contouring, interpolation, triangulation, or fingerprinting, and the database is updated.

In accordance with an embodiment of the invention, the mobile device is also the collecting device.

Brief Description of the Drawings

The accompanying drawings, which are incorporated herein and form part of the specification, illustrate various embodiments of the present disclosure and, together with the description, further serve to explain the principles of the disclosure and to enable a person skilled in the pertinent art to make and use the embodiments disclosed herein. In the drawings, like reference numbers indicate identical or functionally similar elements.

Figure 1 is a flow chart illustrating a mobile data collection process in accordance with an embodiment of the invention.

Figure 2 is a flow chart illustrating a model generation process in accordance with an embodiment of the invention.

Figure 3 is a flow chart illustrating a position query and model extraction process in accordance with an embodiment of the invention.

Figure 4 is a flow chart illustrating a position estimation and a presentation of results in accordance with an embodiment of the invention.

Figure 5 is an illustration of radio parameters captured by a mobile device in accordance with an embodiment of the invention. Figure 6 is an illustration of radio parameters with G PS position data being sent to a server in accordance with an embodiment of the invention.

Figure 7 is an illustration of radio parameters with G PS position data being inserted into a database in accordance with an embodiment of the invention. Figure 8 is an illustration of generating a data model for each cell in accordance with an embodiment of the invention.

Figure 9 is an illustration of generating another data model for each cell in accordance with an embodiment of the invention.

Figure 10 is an illustration of generating a further data model for each cell in accordance with an embodiment of the invention.

Figure 1 1 is an illustration of generating another further data model for each cell in accordance with an embodiment of the invention.

Figure 12 is an illustration of inserting and/or updating models in a model database in accordance with an embodiment of the invention.

Figure 13 is an illustration of a position query and an extraction of models in accordance with an embodiment of the invention.

Figure 14 is an illustration of a position estimation based on models in accordance with an embodiment of the invention.

Figure 1 5 is an illustration of a results presentation of the results in accordance with an embodiment of the invention.

Description of an E mbodiment of the Invention

The present invention comprises a method of deriving the geolocation of a mobile device by taking advantage of the ambiguity and tagging the local non-unique parameter to have the same G lobal unique parameter to generate a unique C ell Model, and the extracting the cell models to derive the geolocation of the mobile device. This method may provide better accuracy compared to conventional methods as the error of the positioning technology is confined to one cell. The present invention may capture radio parameters in a different manner from conventional methods, by using the radio parameter ambiguity captured by the mobile device. C onventional methods try to unambiguously identify as many of the neighboring visible transmitters as possible in order to apply disambiguation of non-unique tower parameters for geo-location of the mobile device. In some embodiments, the present invention may be described by showing a mobile device being camped on a base station cellular tower. This mobile device may be the same mobile device that generates the position query or a a separate mobile device, a collecting device, specifically for the purpose of collecting the parameters. The mobile device also being able to detect signals from other neighboring towers and the radio scene detected includes radio parameters like the globally unique tower ID of the base station cellular tower (or base station), the UTRA Absolute Radio Frequency Channel Number (UARFCN), the Primary Scrambling Code (PSC) and the Received Signal Strength Indicator (RS SI). The radio scene detected also includes radio parameters of neighboring towers that are non-unique tower parameters, for example 3G Serving Cell Radio Parameters:

CTo, UARFCNo, PSCo, EC/nOo, RSCPo, SQualo, SRxLevo

CTi, UARFCNi, PSCi, EC/nOi, RSCPi, SQuah, S RxLevi

u u

CT_n, UARFCNn, PSCn, EC/nOn, RSCPn, SQualn, SRxLevn

Some examples of captured Radio Parameters at given mobile site

525001015C 13E 7111 , 10221 , 143, -10.0, -66, 20, 39 -> 525001015C 13E 7111 is a Global Unique Radio Parameter

0, 10221, 212, -8.0, -76, 11, 36 -> Non-Unique Neighboring Cell Radio Parameters

0, 10221, 43, -14.0, -83, -3, 32 -> Non-Unique Neighboring Cell Radio Parameters

0, 10221, 214, -22.0, -90, -8, 25- > Non-Unique Neighboring Cell Radio Parameters

In an embodiment of the present invention, the method may be made of the following processes: mobile data collection (Figure 1), model generation (Figure 2), position query and model extraction (Figure 3), and position estimation and result presentation (Figure 4). According to some embodiments the mobile data collection process 1 10 (shown in Figure 1 ) performed by the method and system is described as follows. The process 1 10 may begin with capturing radio parameters 120, followed by capturing the G PS position 130. The next step being to tag the local unique parameters and position with global unique parameters 140, followed by inserting the record with the position into a database 150.

In the embodiments, some examples of radio parameters are: the globally unique tower ID of a cellular tower, UAR FC N, PS C and RS S I, or any other globally unique ID that is known in the art. F igure 5 shows cellular towers 510, 520, 530 with one of them 510 being the base station cellular tower and the mobile device 515 capturing the radio parameters. Examples of globally unique tower ID may be a mobile country code (MC C), mobile network code (MNC), location area code (LAC), Cell ID (CID), or any other fields that may provide the same function of identifying a cellular tower. Radio parameters may also be combined, for example, UAR FC N and PS C may be combined together to form a local unique identifier, although one skilled in the art would appreciate that other combinations are also possible to arrive at a local unique identifier for a cellular tower. Looking at Figure 6, the radio parameters are tallied with G PS position data transmitted by satellites 640. This may also collected by a mobile device 615, and the information is sent back to a server 650. In other embodiments, other types of location based services and technology may also be used instead of G PS , for example real-time location system (RT LS ) like Ultra-Wideband (UWB), Bluetooth Low E nergy (BLE), Wi-Fi positioning system (WPS ). Also some embodiments also allows the user to manually enter the coordinates and define them to preference, which may be in various forms. With sufficient data points to make a model of the cells, the model of the cells can be generated to track mobile devices without the need for further infrastructure or even modifications to the mobile device. For the purposes of location tracking indoors, some embodiments would have a shop name, description, or unit number in place of the coordinates. In some embodiments, the mobile device 615 (515) uses an application to obtain the technical parameters of a mobile network, and the application may have the ability to covert the technical parameters into estimated coordinates. The server 650 may be associated with a database (not shown in Figure 6). In some embodiments as shown in F igure 7, the radio parameters with (G PS ) position data 720, 730 may be inserted into a database 750, and in the process the loca l unique parameter is tagged to have the same globa l unique parameter 725. In some embodiments, this is done by tagging the local unique radio parameter of the neighboring cell to the global unique radio parameter of the connected cell to generate a unique cell model. C ompared to existing methods, tagging the local unique parameter to have the same global unique pa rameter to generate a unique cell model ma kes the process faster since every tagged record acts a unique cell model. An example of tagging can be associating the local unique parameter with the global unique parameter.

According to some embodiments the model generation process 210 (shown in F igure 2) performed by the method and system is described as follows. T he process 210 may begin with generating data models for each cell global unique cell-ID and tagged local unique parameter from the database 220, and examples of this are described later and shown in F igures 8-1 1. The databases 750, 850 and 950 may be the same database. Database 750 allows the records (720,730) from the mobile device to be inserted into the database 750, while database 850 demonstrates how the data collected is used to make a model, 820 and 830 depicts examples of records on a map. T he generated model 920 corresponds to the record in database 950. The following step is to insert the cell models or update the cell models in the model database 230, and this is described and shown in F igure 12.

According to some embodiments, a model 820, 830 is generated using the information from the database 850 and the outcome may be found in F igure 8. It may be seen that using the information, the model for CToU PoRS o 820 and C T 0U P 0R S 11 830 may be generated. By repeating this process for differing values from the database 950, a model for CT 0U P 0 920 may be generated as shown in F igure 9. In F igure 10, another model 1022 may be generated using further values of local unique identifiers from the database 1050 and is shown has an overlay on the CT 0U P 0 model 1020 of F igure 9. R epeating the process (in F igure 1 1 ) for yet further values of local unique identifiers from the database 1 1 50, another model 1 124 is generated, with C T 0U P 0 model 1 120 shown in comparison. The step of inserting or in some cases updating the models in the model database in shown in F igure 12, whereby the various models generated 1220, 1222, 1224 are populated into the database 1250 accordingly, and this may be done by applying geometric and/or statistical methods such as contouring, interpolation, triangulation, fingerprinting.

According to some embodiments the position query and model extraction process 310 (shown in Figure 3) performed by the method and system is described as follows. The process 310 may begin with a position query request based on the one or a combination of the following fields reported by mobile device: global unique identification (G UID), local unique parameter, RS S I, etc 320. Based on the information provided, the data model database is searched 330, then the matching data or resultant cell model may be extracted 340 for the queried parameter or parameters along with the coordinates, location or geolocation or any other form outcome that may indicate the geolocation of the mobile device.

In other embodiments, the position estimation and result process 410 (shown in Figure 4) that may be performed by the method and system is described as follows. The process 410 begins by determining the method of presentation, either using overlap, triangulation or exclusion 420. Then proceeds to extract the appropriate data models based on the query parameters 430, and deriving the position based on the method applied, for example most overlap, point of intersect or exclusion 440. The position results may then be derived using statistical methods like normal, Gaussian, point confident 450 and the derived results may be presented, either using coordinates (x, y, radius) or any otherform of geolocation reporting 460. By way of example, if point confident is used, the derived location will have coordinates like (x, y) and a confidence level that the point is of a certain accuracy.

An embodiment is shown in Figure 13, where a mobile device is requesting or sending a query for itgeolocation or position, a query 1330 is sent to the database 1350, and various cell models are extracted in response 1340, 1342, 1344, 1346. The query is then resolved shown in Figure 14 by estimating the position of the mobile device using the extracted models 1440, 1442, 1444, 1446, and the position of the mobile device may be determined using the resultant cell model 1460, for example by highest overlapping, triangulation or exclusion method, or any other know method of determining intersection between the extracted models. This result 1560 is presented to the mobile device (and the user) in Figure 15 by deriving the position 1570 through statistical methods using estimation data, for example normal, Gaussian, point confident, or any other known method.

It is noted that determining the geolocation of the mobile device using the method as described is faster as all that is required is to extract cell models to derive the position based on the statistical method applied, with the added advantage of having no ambiguity.

The technical advantages of the invention;

i. Use the existing radio parameters such as globally unique Id and local non-unique captured by the mobile device without any disambiguation process. ii. Radio parameters captured will be directly stored in database as records iii. The records form a unique C ell model for the unique captured radio parameter

iv. The Cell Models are used for position query

v. The above said process adds to faster processing and extraction of the query.

vi. It is more accurate compared to the disambiguation technique as there is no ambiguity.

vii. May be adapted to indoor positioning with the appropriate process for data collection.

viii. May be adapted to outdoor positioning where G PS accuracy is affected by reflections, refractions and canopy effect; with the appropriate process for data collection.

New C ell Modelling approach for position extraction of Mobile devices for G eo- Location. For G eo-Location system to determine the physical location of mobile device correctly it need take reference positions from the nearby C ell Towers (G lobal Unique Identification ^" G UID) and G PS co-ordinates. The above said limitation is overcome by New C ell Modelling Method, which makes use of the following Radio Parameters for position extraction,

i. Mobile Device C onnected Cell Tower G lobal Unique Identification (G UID), UAR FC N, PS C, RS S I.

iii. Local-unique radio parameters of neighboring cell- UAR FC N, PS C, RS S I. iv. G PS co-ordinates (x, y) of the Mobile Device at any given location

With the New C ell Modelling method the mobile device physical position may be extracted for Geo-Location S ervices. In some embodiments, the method and system may include the following:

i. Cell Tower radio parameters captured by Mobile device at any given location of capture, G lobal unique Identification (G UID), UAR FC N, PS C & RS S I, G PS (x, y)

ii. Local unique radio parameters of neighboring cell tower captured by Mobile device at any given location of interest

iii. Tagging local unique radio parameter of the neighboring cell to G lobal unique radio parameter of the connected cell to generate a unique Cell Model. iv. Unique C ell Model G eneration from the captured radio parameters stored in the database

v. Cell Model Extraction for position query

vi. Cell Model P resentation.

In further embodiments, RS S I may be optional parameter under the G lobal Unique radio parameter, as the local unique radio parameter of either UAR FC N or PS C would be sufficient. In other embodiments, the RS S I of local unique radio parameter is also an optional parameter.

In some embodiments, the radio parameter capturing process may be described using the following:

i. Radio parameters captured by the mobile device transferred over the air to the Database server

ii. Tagging local unique parameter to have the same G lobal unique parameter to generate a unique C ell Model performed on database S erver and stored as records.

iii. Unique cell model is generated and stored for database record in the database server

iv. Position query is performed by extracting the unique cell models based on the statistical method applied

Cell Modelling approach for position extraction of Mobile devices for G eo- Location. For G eo-Location system to determine the physical location of mobile device correctly it need take reference positions from the nearby C ell Towers (G lobal Unique Identification ^" G UID) and G PS co-ordinates. The following steps describe the process:

Step 1: Radio Parameters Captured by Mobile Device. (Refer Figure.5) Mobile Device Connected Cell Tower Global Unique Identification (GUID), UARFCN, PSC, RSSI.

Non-unique Parameters UARFCN, PSC, RSSI.

Step 2: GPS position captured ata given location of interest (Refer Figure.6)

GPS co-ordinates (x, y) of the Mobile Device at give location

Step 3: Captured Radio parameters and GPS Location is transferred to the database server. (Refer Figure.6)

Step 4: Tagging local non- unique parameter to have the same Global unique parameter to generate a unique Cell Model. (Refer Figure.7)

Process 1: Mobile Data Collection for Steps 1-3 (Referto Figure 1).

Step 5: Unique Cell Model Generation from the radio parameters stored in the database (Refer Figures 8-12)

Process 2: Cell Model generation process for Step 5.

Step 6: Cell Model Extraction for position query (Figures 13 & 14)

Process 3: Process Query & Model Extraction for Step 6

Step 7: Position Estimation & Result Presentation (Figure.15)

Process 4: Position Estimation & Results Presentation

The present invention has been fully described with reference to the drawing figures. Although the invention has been described based upon these preferred embodiments, to those of skill in the art, certain modifications, variations, and alternative constructions would be apparent, while remaining within the spirit and scope of the invention. In order to determine the metes and bounds of the invention, therefore, reference should be made to the appended claims.

Claims

C laims:

1. A method for determining a geolocation of a mobile device comprising: capturing a plurality of first radio parameters of a first cellular tower;

capturing a plurality of second radio parameters of a second cellulartower, wherein the plurality of second radio parameters are locally unique radio parameters;

tagging the plurality of second radio parameters to the plurality of first radio parameters;

generating a plurality of base cell models using the plurality of first and second radio parameters;

extracting a plurality of resultant cell models based on a position query from the mobile device and the plurality of base cell models; and

determining the geolocation of the mobile device from the plurality of resultant cell models;

wherein the geolocation of the mobile device is statistically determined using the plurality of resultant cell models.

2. The method of claim 1 , wherein the plurality of first radio parameters are globally unique.

3. The method of claim 2, where the first radio parameter is a globally unique tower ID of a cellular tower.

4. The method of claim 3, where the globally unique tower ID of a cellular tower is a mobile country code (MCC), a mobile network code (MNC), a location area code (LAC), or a C elllD (CID).

5. The method of claim 1 , where the first radio parameter is a UT RA Absolute Radio F requency C hannel Number (UAR FC N), a P rimary S crambling Code (PS C) or a R eceived S ignal Strength Indicator (R S SI).

6. The method of claim 1 , where the second radio parameter is a combination of any of a UTRA Absolute Radio Frequency C hannel Number (UAR FC N), a P rimary S crambling Code (PS C) or a Received S ignal Strength Indicator (RS S I).

7. The method of claim 1 , wherein the second radio parameter is a location provided by a G lobal Positioning System (G PS ) or a location provided by a user defined coordinate.

8. The method of claim 1 , wherein the second radio parameter is a location provided by a plurality of technical parameters of a mobile network, wherein the plurality of technical parameters are converted into coordinates.

9. The method of claim 1 , wherein the step of generating a plurality of base cell models is repeated with a plurality of third radio parameters, wherein the third radio parameters are locally unique and different from the second radio parameters.

10. The method of claim 9, where the plurality of base cell models are combined using contouring, interpolation, triangulation, or fingerprinting.

1 1. The method of claim 1 , wherein the position query is based on any one or a combination of more than one method of identifying a location, such as a global unique identification (G UID), a local unique parameter, or a Received S ignal Strength Indicator (R SS I).

12. The method of claim 1 , where the step of extracting a plurality of resultant cell models further includes determining a method of presentation using overlap, triangulation or exclusion.

13. The method of claim 12, where the resultant cell models are extracted from the position query pointing to the location with the greatest overlap, point of intersection or exclusion.

14. The method of claim 13, where the geolocation of the mobile device is statistically determined based on a normal, a Gaussian, or a point confident technique.

15. The method as set forth in any one of the preceding claims, wherein the step of generating a plurality of base cell models is based on the plurality of first radio parameters and the plurality of second radio parameters stored in a database memory of a server.

16. A system for determining a geolocation of a mobile device comprising: a server with means for communicating with a mobile device;

a database in communication with the server to store a plurality of first radio parameters of a first cellular tower collected by a collecting device, where the database also stores a plurality of second radio parameters of a second cellular tower,

wherein the plurality of second radio parameters are tagged to the plurality of first radio parameters to create a base cell model and the base cell model is stored on the database, and

wherein upon a request from the mobile device, the server generates the geolocation based on extraction of the base cell model.

17. The system of claim 16, where the plurality of first radio parameters are globally unique.

18. The system of claim 17, where the first radio parameter is a globally unique tower ID of a cellular tower, a mobile country code (MCC), a mobile network code (MNC), a location area code (LAC), ora Cell ID (CID).

19. The system of claim 16, where the first radio parameter is a UTRA Absolute Radio Frequency Channel Number (UARFCN), a Primary Scrambling Code (PS C) ora Received Signal Strength Indicator (RS SI).

20. The system of claim 16, where the second radio parameter is a combination of any of a UTRA Absolute Radio Frequency Channel Number (UARFCN), a Primary Scrambling Code (PSC) or a Received Signal Strength Indicator (RS SI).

21. The system of claim 16, where the second radio parameter is a location provided by a Global Positioning System (GPS) ora location provided by user defined coordinate.

22. The system of claim 16, where the second radio parameter is a location provided by a plurality of technical parameters of a mobile network, wherein the plurality of technical parameters are converted into coordinates.

23. The system of claim 1 6, where a further base cell model is generated with a plurality of third radio parameters, wherein the third radio parameters are locally unique and different from the second radio parameters.

24. The system of claim 23, where a resultant cell model is extracted from a plurality of base cell models based on a normal, Gaussian, or point confident technique, and the geolocation of the mobile device is determined from the resultant cell model.

25. The system of claim 24, where the step of extracting the resultant cell model is repeated to generate a plurality of res ultant cell models and the geolocation of the mobile device is determined using a normal, Gaussia n, or point confident technique.

26. The system of claim 23, where the plurality of base cell models are combined us ing contouring, interpolation, triangulation, or fingerprinting, and the database is updated.

27. The system of claim 1 6, where the mobile device is also the collecting device.