WO2015101810A1 - A system for retrieval and presentation of subscriber density information - Google Patents

A system for retrieval and presentation of subscriber density information Download PDF

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Publication number
WO2015101810A1
WO2015101810A1 PCT/IB2013/061450 IB2013061450W WO2015101810A1 WO 2015101810 A1 WO2015101810 A1 WO 2015101810A1 IB 2013061450 W IB2013061450 W IB 2013061450W WO 2015101810 A1 WO2015101810 A1 WO 2015101810A1
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WO
WIPO (PCT)
Prior art keywords
data
report
information
subscriber
user
Prior art date
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PCT/IB2013/061450
Other languages
French (fr)
Inventor
Burak CAKMAK
Ayberk CANSEVER
Okan BIRHAN
Baris YAVUZ
Haciali GEMALMAZ
Original Assignee
Turkcell Teknoloji Arastirma Ve Gelistirme A.S.
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
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Application filed by Turkcell Teknoloji Arastirma Ve Gelistirme A.S. filed Critical Turkcell Teknoloji Arastirma Ve Gelistirme A.S.
Priority to PCT/IB2013/061450 priority Critical patent/WO2015101810A1/en
Publication of WO2015101810A1 publication Critical patent/WO2015101810A1/en

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Classifications

    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W8/00—Network data management
    • H04W8/18—Processing of user or subscriber data, e.g. subscribed services, user preferences or user profiles; Transfer of user or subscriber data
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
    • H04L41/22—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks comprising specially adapted graphical user interfaces [GUI]
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
    • H04W4/02—Services making use of location information
    • H04W4/029—Location-based management or tracking services

Definitions

  • the present invention is basically related to a system for retrieving subscriber density information and presentation of subscriber density information on wireless networks.
  • Mobile network operators provide many services to their subscribers including voice call, short messaging and data services.
  • voice call voice call
  • short messaging data services
  • one of the very important services for mobile operators in terms of making revenue is location and activity based services. Therefore it is highly crucial for a mobile operator to analyze and present location and activity data of subscribers efficiently and instantly.
  • US2006105815 an application in the state of the art, discloses a method of providing information on a mobile terminal can include displaying mobile terminal density information on a mobile terminal display according to a selectable context based on parameters reported by mobile terminals operating in a wireless communications network to a server.
  • An objective of the present invention is to retrieve subscriber density information from a historical network data
  • Another objective of the present invention is to present retrieved subscriber density information on a map.
  • Figure 1 is a schematic block diagram of the inventive system.
  • the components illustrated in the figures are individually numbered, where the numbers refer to the following: 1.
  • GUI Graphic User Interface
  • GUI (2) which can be used by user (U) to request reports related to data in historical network data DB (H) supplied by subscriber density determination unit (S) to be prepared, display prepared reports list, input filtering information to be used for preparing report, select filtering options from categories to be used for preparing report, query historical network data DB (H) for past and future trends, display past and calculated future trends and display map with subscriber density information,
  • At least one analysis worker (3) which prepares reports by analyzing data in historical network data DB (H) both in automatic creation mode and on-demand creation mode which is triggered by the request of user via GUI (2) and based on the filtering information inputted or selected by user (U), at least one map server (4) which allows presenting spatial data and creating interactive map applications based on spatial data and reports of analysis worker (3),
  • At least one report database (5) which stores reports prepared and inserted by analysis worker (3), returns active report list when requested by user (U) via GUI (2),
  • At least one density renderer (6) which receives display report requests of user (U) sent via GUI (2), receives report to be displayed from report database (5), renders data in the reports stored in report database (5) and to be displayed on GUI (2) and sends rendered data to GUI (2) ( Figure 1).
  • GUI (2) is used by user (U) to request reports related to data in historical network data DB (H) supplied by subscriber density determination unit (S) to be prepared by analysis worker (3), display prepared reports stored in report database (5) and rendered by density renderer (6), input filtering information such as subscriber list to be used for preparing report, select filtering options such as parametric segmentation information to be used for preparing report, query historical network data DB (H) for past and future trends, display past and calculated future trends and display map with subscriber density information which is created by map server (4) and report data in report database (5) and density renderer (6).
  • input filtering information such as subscriber list to be used for preparing report
  • select filtering options such as parametric segmentation information to be used for preparing report
  • query historical network data DB (H) for past and future trends display past and calculated future trends and display map with subscriber density information which is created by map server (4) and report data in report database (5) and density renderer (6).
  • Analysis worker (3) prepares reports by analyzing data in historical network data DB (H) both in automatic creation mode and on-demand creation mode which is triggered by the request of user via GUI (2) and based on the filtering information inputted or selected by user (U).
  • Analysis worker (3) is the unit which collects segmented subscriber location information from historical network data DB (H) which is a big data database and insert reports related to collected subscriber location information to report database (5) in specific time resolution when it (3) prepares reports in automatic creation mode, in other words in scheduled manner such as a task scheduled by Cron Job.
  • DB historical network data DB
  • Analysis worker (3) is the unit which prepares reports with nearly real-time data in automatic creation mode if the capabilities and performance of the platform on which it (3) is working are sufficient because specific time resolution in which analysis worker (3) collects data is determined according to the capabilities and performance of said platform.
  • analysis worker (3) queries information which includes subscriber number, location information, activity time from historical network data DB (H).
  • information which includes subscriber number, location information, activity time from historical network data DB (H).
  • analysis worker (3) summarizes said queried information based on subscriber segmentation information. Therefore, subscriber segments which will be used for summarization process should be determined in analysis worker (3).
  • subscriber segmentation information is stored in historical network data DB (H) according to following main segments: age, gender, marital status, subscriber income band and subscriber club.
  • main segments such as age segment, can be divided into different number of sub-segments while gender segment only has two sub-segments as male and female.
  • age segment is divided into sub-segments of 18-24, 25-34, 35-44, 45-54, 55-59, 60+
  • marital status segment is divided into sub- segments of married and single
  • gender segment is divided into sub-segments of male and female
  • income band segment is divided into sub-segments of A, B, CI, C2, D, E
  • subscriber club segment is divided into sub-segments with the name of subscriber clubs and said sub-segments are determined in analysis worker (3) to be used in querying process to obtain summarized information which is segmented subscriber location information.
  • the basic fields of the report prepared by analysis worker (3) and inserted into report database (5) in automatic creation mode are "time”, "location of subscriber”, “segmentation information of subscriber”, “count” and "percentage”.
  • analysis worker (3) While preparing report, at the last step analysis worker (3) joins the summarized report data with the spatial data paired with location information so that report data is prepared for the presentation. Spatial data is stored in report database (5). That is to say presentation data of the scheduled report consists of "time”, “geospatial location”, “segmentation information of subscriber", “count” and “percentage”.
  • Analysis worker (3) is the unit which uses the request information provided by user (U) via GUI (2) when it (3) creates reports in on-demand creation mode, in other words in non-scheduled special request manner.
  • details received by analysis worker (3) from user via GUI (2) is about location information and subscriber information which includes information from categories including but not limited to following: age, income band, marital status, gender.
  • One of each category or combination of them can be selected by user (U) on GUI (2).
  • Location information can be selected by user (U) via GUI (2) as grid, rectangle, polygon with any shape, neighborhood and province.
  • Analysis worker (3) also receives date and period information from user (U) via GUI (2) which describes time information for data to be included in report prepared by analysis worker (3) in on-demand creation mode and sent to report database (5). If user selects a date in the past, analysis worker (3) prepares a report for a period of time in the past.
  • the request information received by analysis worker (3) from user (U) via GUI (2) is a request to analysis worker (3) to get the current snapshot of the network from historical network data DB (H) and prepare a report which indicates the most crowded and uninhabited polygon in whole network area or a special region mentioned by user (U) in his request via GUI (2).
  • the request information received by analysis worker (3) includes a subscriber list which is submitted to system (1) in advance or inputted by user (U) on GUI (2).
  • analysis worker (3) prepares report with the information related to only the subscribers in the list.
  • Subscriber list can be in any text format.
  • Map server (4) is the unit which allows presenting spatial data and creating interactive map applications based on spatial data and reports of analysis worker (3) in report database (5).
  • Map server (4) is the unit which allows density renderer (6) to render spatial polygons to transferable image formats to display data in the report as rendered heat map.
  • Report database (5) is the unit which stores reports prepared and inserted by analysis worker (3), returns active report list when requested by user (U) via GUI (2). Report database (5) also returns report details to density renderer (6) when user (U) requests to display a report by selecting from active report list via GUI (2).
  • Report database (5) also stores the spatial data of the location information obtained from historical network data DB (H) paired with location information so that the presentation of the scheduled report is done according to this spatial data.
  • Density renderer (6) is the unit which receives display report requests of user (U) sent via GUI (2), renders reports stored in report database (5) and to be displayed on GUI (2) and sends rendered report to GUI (2).
  • density renderer (6) While rendering reports stored in report database (5), density renderer (6) firstly joins each density level with the corresponding color. All colors are defined by the dynamic coloring scheme which can be pre-defined or user (U) generated. After joining phase, density renderer (6) renders spatial polygons to transferable image formats by using map server (4) to display data in the report as rendered heat map. Spatial polygons can be rendered and displayed instantly based on real time or near real time data by density renderer (6). In addition to real time rendered data, in an embodiment of the invention, density renderer (6) may use some caching techniques that are applied for pre-rendered data which can make huge performance impact on rendering process.
  • Rendered heat map data is sent to GUI (2) and displayed on GUI (2).
  • GUI (2) may be an interface of web application or a desktop application.
  • GUI (2) is the cloud based scalable highly available web interface.
  • inventive system (1) in addition to data generate process as reports and data display process, invention past data can be compared for a selected area to determine past roaming trends as hourly, daily, weekly, monthly or yearly trends in different embodiments of the invention. Beyond the past, forecasting the future trends are made available with the inventive system (1). Statistically a projection to the near future is available when there is enough data. Thus, the huge amount of data persisted within historical network data DB (H) made available that kind of projection in this inventive system (1).

Abstract

The present invention is basically related to a system(1)for retrieving subscriber density information and presentation of subscriber density information on wireless networks. The said system (1) comprises GUI (2), analysis worker (33), map server (4), report database (5), density renderer (6). The system (1) uses historical network data database (H) to which data is supplied by subscriber density determination unit (S).

Description

A SYSTEM FOR RETRIEVAL AND PRESENTATION OF SUBSCRIBER
DENSITY INFORMATION
Technical Field
The present invention is basically related to a system for retrieving subscriber density information and presentation of subscriber density information on wireless networks. Background of the Invention
Mobile network operators provide many services to their subscribers including voice call, short messaging and data services. In addition to these basic services, one of the very important services for mobile operators in terms of making revenue is location and activity based services. Therefore it is highly crucial for a mobile operator to analyze and present location and activity data of subscribers efficiently and instantly.
A problem that occurs, when the number of subscribers for whom the location and activity data will be analyzed and presented increases, is the huge amount of data to be analyzed and presented. In such cases, mobile operators need to set up and maintain many different nodes to analyze and present said data. The problem gets bigger when it is required to analyze and present said data in real time manner and in an easily understandable fashion such as presenting on a map which would bring business opportunities to mobile operators when location and activity based services are considered.
To overcome said problems, a solution which receives subscriber location information from a big data database in scheduled manner or in on-demand manner according to defined analysis criteria, summarizes received data, prepares report with summarized data, renders data in the reports to present data, even the real-time data if preferred, in an easily understandable fashion such as on a map, is needed. In state of the art, there are some solutions such as call detail record investigation to analyze the location and activity data of subscribers. But these solutions have many drawbacks such as not allowing real time analysis, presentation and not efficient analysis and presentation for big data. The United States patent document no. US2006105815, an application in the state of the art, discloses a method of providing information on a mobile terminal can include displaying mobile terminal density information on a mobile terminal display according to a selectable context based on parameters reported by mobile terminals operating in a wireless communications network to a server.
Summary of the Invention
An objective of the present invention is to retrieve subscriber density information from a historical network data
Another objective of the present invention is to present retrieved subscriber density information on a map.
Description of the Invention
"A System for Retrieval and Presentation of Subscriber Density Information" realized to fulfill the objectives of the present invention is shown in the figures attached, in which: Figure 1 is a schematic block diagram of the inventive system. The components illustrated in the figures are individually numbered, where the numbers refer to the following: 1. System
2. GUI (Graphical User Interface)
3. Analysis worker
4. Map server
5. Report database
6. Density renderer
H. Historical network data DB
S. Subscriber density determination unit
u. User
A system (1) which enables retrieval and presentation of subscriber density information:
at least one GUI (2) which can be used by user (U) to request reports related to data in historical network data DB (H) supplied by subscriber density determination unit (S) to be prepared, display prepared reports list, input filtering information to be used for preparing report, select filtering options from categories to be used for preparing report, query historical network data DB (H) for past and future trends, display past and calculated future trends and display map with subscriber density information,
at least one analysis worker (3) which prepares reports by analyzing data in historical network data DB (H) both in automatic creation mode and on-demand creation mode which is triggered by the request of user via GUI (2) and based on the filtering information inputted or selected by user (U), at least one map server (4) which allows presenting spatial data and creating interactive map applications based on spatial data and reports of analysis worker (3),
at least one report database (5) which stores reports prepared and inserted by analysis worker (3), returns active report list when requested by user (U) via GUI (2),
at least one density renderer (6) which receives display report requests of user (U) sent via GUI (2), receives report to be displayed from report database (5), renders data in the reports stored in report database (5) and to be displayed on GUI (2) and sends rendered data to GUI (2) (Figure 1).
GUI (2) is used by user (U) to request reports related to data in historical network data DB (H) supplied by subscriber density determination unit (S) to be prepared by analysis worker (3), display prepared reports stored in report database (5) and rendered by density renderer (6), input filtering information such as subscriber list to be used for preparing report, select filtering options such as parametric segmentation information to be used for preparing report, query historical network data DB (H) for past and future trends, display past and calculated future trends and display map with subscriber density information which is created by map server (4) and report data in report database (5) and density renderer (6).
Analysis worker (3) prepares reports by analyzing data in historical network data DB (H) both in automatic creation mode and on-demand creation mode which is triggered by the request of user via GUI (2) and based on the filtering information inputted or selected by user (U).
Analysis worker (3) is the unit which collects segmented subscriber location information from historical network data DB (H) which is a big data database and insert reports related to collected subscriber location information to report database (5) in specific time resolution when it (3) prepares reports in automatic creation mode, in other words in scheduled manner such as a task scheduled by Cron Job.
Analysis worker (3) is the unit which prepares reports with nearly real-time data in automatic creation mode if the capabilities and performance of the platform on which it (3) is working are sufficient because specific time resolution in which analysis worker (3) collects data is determined according to the capabilities and performance of said platform. During preparation of reports by analysis worker (3) in automatic creation mode, analysis worker (3) queries information which includes subscriber number, location information, activity time from historical network data DB (H). To obtain segmented subscriber location information, analysis worker (3) summarizes said queried information based on subscriber segmentation information. Therefore, subscriber segments which will be used for summarization process should be determined in analysis worker (3).
In one embodiment of the invention, subscriber segmentation information is stored in historical network data DB (H) according to following main segments: age, gender, marital status, subscriber income band and subscriber club. As one skilled in the art can understand, some of these main segments, such as age segment, can be divided into different number of sub-segments while gender segment only has two sub-segments as male and female. In one exemplary embodiment of the invention, age segment is divided into sub-segments of 18-24, 25-34, 35-44, 45-54, 55-59, 60+, marital status segment is divided into sub- segments of married and single, gender segment is divided into sub-segments of male and female, income band segment is divided into sub-segments of A, B, CI, C2, D, E, subscriber club segment is divided into sub-segments with the name of subscriber clubs and said sub-segments are determined in analysis worker (3) to be used in querying process to obtain summarized information which is segmented subscriber location information.
The basic fields of the report prepared by analysis worker (3) and inserted into report database (5) in automatic creation mode are "time", "location of subscriber", "segmentation information of subscriber", "count" and "percentage".
While preparing report, at the last step analysis worker (3) joins the summarized report data with the spatial data paired with location information so that report data is prepared for the presentation. Spatial data is stored in report database (5). That is to say presentation data of the scheduled report consists of "time", "geospatial location", "segmentation information of subscriber", "count" and "percentage". Analysis worker (3) is the unit which uses the request information provided by user (U) via GUI (2) when it (3) creates reports in on-demand creation mode, in other words in non-scheduled special request manner. In one embodiment of the invention, details received by analysis worker (3) from user via GUI (2) is about location information and subscriber information which includes information from categories including but not limited to following: age, income band, marital status, gender. One of each category or combination of them can be selected by user (U) on GUI (2). Location information can be selected by user (U) via GUI (2) as grid, rectangle, polygon with any shape, neighborhood and province. Analysis worker (3) also receives date and period information from user (U) via GUI (2) which describes time information for data to be included in report prepared by analysis worker (3) in on-demand creation mode and sent to report database (5). If user selects a date in the past, analysis worker (3) prepares a report for a period of time in the past. In another embodiment of the invention, the request information received by analysis worker (3) from user (U) via GUI (2) is a request to analysis worker (3) to get the current snapshot of the network from historical network data DB (H) and prepare a report which indicates the most crowded and uninhabited polygon in whole network area or a special region mentioned by user (U) in his request via GUI (2).
In another embodiment of the invention, the request information received by analysis worker (3) includes a subscriber list which is submitted to system (1) in advance or inputted by user (U) on GUI (2). In such embodiment, analysis worker (3) prepares report with the information related to only the subscribers in the list. Subscriber list can be in any text format.
When user (U) uploads subscriber list via GUI (2), a verification of numbers in the list is performed by analysis worker (3). With this verification, it is aimed that only proper subscribers will be considered at analysis. For example only fixed phone numbers will be discarded. Second check conducted by analysis worker (3) on subscriber list is the subscriber number in the list. For the privacy concerns according to pre-defined threshold "minimum subscriber number" parameter will be controlled and if the customer upload less than that threshold, there will be a warning shown on GUI (2) to the user and analysis will not start. This "minimum subscriber number" parameter is parametric and can be changed according to the needs. User (U) can upload various subscriber lists via GUI (2) and choose one of them during the creation of analysis request to be sent to analysis worker (3). At each analysis request, user (U) will define if analysis will be done with all subscribers or only with subscribers listed in subscriber list. Map server (4) is the unit which allows presenting spatial data and creating interactive map applications based on spatial data and reports of analysis worker (3) in report database (5). Map server (4) is the unit which allows density renderer (6) to render spatial polygons to transferable image formats to display data in the report as rendered heat map.
Report database (5) is the unit which stores reports prepared and inserted by analysis worker (3), returns active report list when requested by user (U) via GUI (2). Report database (5) also returns report details to density renderer (6) when user (U) requests to display a report by selecting from active report list via GUI (2).
Report database (5) also stores the spatial data of the location information obtained from historical network data DB (H) paired with location information so that the presentation of the scheduled report is done according to this spatial data.
Density renderer (6) is the unit which receives display report requests of user (U) sent via GUI (2), renders reports stored in report database (5) and to be displayed on GUI (2) and sends rendered report to GUI (2).
While rendering reports stored in report database (5), density renderer (6) firstly joins each density level with the corresponding color. All colors are defined by the dynamic coloring scheme which can be pre-defined or user (U) generated. After joining phase, density renderer (6) renders spatial polygons to transferable image formats by using map server (4) to display data in the report as rendered heat map. Spatial polygons can be rendered and displayed instantly based on real time or near real time data by density renderer (6). In addition to real time rendered data, in an embodiment of the invention, density renderer (6) may use some caching techniques that are applied for pre-rendered data which can make huge performance impact on rendering process.
Rendered heat map data is sent to GUI (2) and displayed on GUI (2). GUI (2) may be an interface of web application or a desktop application. In an embodiment of the invention, GUI (2) is the cloud based scalable highly available web interface.
In the inventive system (1), in addition to data generate process as reports and data display process, invention past data can be compared for a selected area to determine past roaming trends as hourly, daily, weekly, monthly or yearly trends in different embodiments of the invention. Beyond the past, forecasting the future trends are made available with the inventive system (1). Statistically a projection to the near future is available when there is enough data. Thus, the huge amount of data persisted within historical network data DB (H) made available that kind of projection in this inventive system (1).
It is possible to develop various embodiments of the inventive system (1), it cannot be limited to examples disclosed herein and it is essentially according to claims.

Claims

A system (1) which enables retrieval and presentation of subscriber density information comprising
at least one GUI
(2) which can be used by user (U) to request reports related to data in historical network data DB (H) supplied by subscriber density determination unit (S) to be prepared, display prepared reports list, input filtering information to be used for preparing report, select filtering options from categories to be used for preparing report, query historical network data DB (H) for past and future trends, display past and calculated future trends and display map with subscriber density information,
at least one analysis worker
(3) which prepares reports,
at least one map server
(4) which allows presenting spatial data and creating interactive map applications based on spatial data and reports of analysis worker (3),
at least one report database
(5) which stores reports prepared and inserted by analysis worker (3), returns active report list when requested by user (U) via GUI (2),
at least one density renderer (6) which receives display report requests of user (U) sent via GUI (2) and sends rendered data to GUI (2) and characterized by
at least one analysis worker (3) which prepares reports by analyzing data in historical network data DB (H) both in automatic creation mode and on-demand creation mode which is triggered by the request of user via GUI (2) and based on the filtering information inputted or selected by user (U),
at least one density renderer
(6) which receives display report requests of user (U) sent via GUI (2), receives report to be displayed from report database (5), renders data in the reports stored in report database (5) and to be displayed on GUI (2) and sends rendered data to GUI (2).
A system (1) according to Claim 1, characterized by analysis worker (3) which collects segmented subscriber location information from historical network data DB (H) which is a big data database and insert reports related to collected subscriber location information to report database (5) in specific time resolution when it (3) prepares reports in automatic creation mode, in other words in scheduled manner such as a task scheduled by Cron Job.
A system (1) according to Claim 1 or 2, characterized by analysis worker (3) which queries information which includes subscriber number, location information, activity time from historical network data DB (H). To obtain segmented subscriber location information, analysis worker (3) summarizes said queried information based on subscriber segmentation information.
A system (1) according to any of the preceding claims, characterized by analysis worker (3) which prepares reports where basic fields of the report in automatic creation mode are "time", "location of subscriber", "segmentation information of subscriber", "count" and "percentage".
A system (1) according to any of the preceding claims, characterized by analysis worker (3) which joins the summarized report data with the spatial data paired with location information.
A system (1) according to any of the preceding claims, characterized by analysis worker (3) which prepares reports where presentation data of the scheduled report consists of "time", "geospatial location", "segmentation information of subscriber", "count" and "percentage".
7. A system (1) according to any of the preceding claims, characterized by analysis worker (3) which uses the request information provided by user (U) via GUI (2) when it (3) creates reports in on-demand creation mode, in other words in non-scheduled special request manner.
8. A system (1) according to any of the preceding claims, characterized by analysis worker (3) which receives request from user via GUI (2) about location information and subscriber information which includes information from categories including but not limited to following: age, income band, marital status, gender where one of each category or combination of them can be selected by user (U) on GUI (2).
9. A system (1) according to any of the preceding claims, characterized by analysis worker (3) which receives date and period information from user (U) via GUI (2) which describes time information for data to be included in report prepared by analysis worker (3) in on-demand creation mode and sent to report database (5).
10. A system (1) according to any of the preceding claims, characterized by analysis worker (3) which receives request information from user (U) via GUI
(2) which is a request to analysis worker (3) to get the current snapshot of the network from historical network data DB (H) and prepare a report which indicates the most crowded and uninhabited polygon in whole network area or a special region mentioned by user (U) in his request via GUI (2).
11. A system (1) according to any of the preceding claims, characterized by analysis worker (3) which receives a request including a subscriber list.
12. A system (1) according to any of the preceding claims, characterized by report database (5) which stores the spatial data of the location information obtained from historical network data DB (H) paired with location information so that the presentation of the scheduled report is done according to this spatial data.
13. A system (1) according to any of the preceding claims, characterized by density renderer (6) that firstly joins each density level with the corresponding color where all colors are defined by the dynamic coloring scheme which can be pre-defined or user (U) generated.
14. A system (1) according to any of the preceding claims, characterized by density renderer (6) that renders spatial polygons to transferable image formats by using map server (4) to display data in the report as rendered heat map.
15. A system (1) according to any of the preceding claims, characterized by density renderer (6) which uses some caching techniques that are applied for pre-rendered data.
16. A system (1) according to any of the preceding claims, characterized by GUI (2) which is the interface of web application or a desktop application
17. A system (1) according to any of the preceding claims, characterized by GUI (2) which is the cloud based scalable web interface.
PCT/IB2013/061450 2013-12-31 2013-12-31 A system for retrieval and presentation of subscriber density information WO2015101810A1 (en)

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