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Present you the improved and better experience in analyzing and monitoring network performance including network coverage, quality of service and maps, to reduce any drawbacks and inefficient network circumstances.
Visualize and transform your network coverage data into practical, user-friendly, & comprehensive visuals.
A Suite of Network Coverage Analysis Services Powered by Paques
Identify the network coverage of an area and categorize them into Normal or Bad Coverage based on Reference Signal Received Power and number of call events, which will be represented by Polygon Data to visually indicate the network coverage of each area.
Identify the network quality of an area to determine Normal or Bad Quality in area with relatively decent network coverage, using Download Throughput Data on each area as parameter, which will be represented by Polygon Data to visually indicate the network quality of each area.
Identify functioning cells of a site to determine whether a cell passed a certain value to be classified as good functioning cell; did not pass a certain value to be classified as bad functioning cell; or undefined, to be classified as not functioning cell.
Identify any discrepancies in cell distributions that may cause reduced network performance or reduced coverage.
Process the cluttered LTE Call geolocation data to produce presentable, comprehensible, and more structured list of data.
Identify number of drop calls of an area, the release causes of the drop calls, and manufacturers of user equipment experiencing drop calls, which will be represented by Polygon Data to visually indicate the drop call status of each area.
Identify any cells that produce excessive signal in an area, resulting in those cells serving user equipment that should be served by other nearest cells. The analysis will be represented by Polygon Data to visually indicate overshooting cells of each area.
Identify a list of cells or sites that are possible to dismantle using a simulation, for example to simulate dismantling of an overshooting cell. Black Site simulation functionality goes on for further various coverage and quality assessment, which will be represented by Polygon Data to visually indicate the dismantle simulation and status of each area.
Various grid sizes to represent different KPI values. Grid or tile dimension can be changed accordingly in different areas, for example smaller grid used for analysis in urban area to produce more precise results or larger grid used in rural area to cover the whole area.
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Jakarta 12820 Indonesia
+6221-8378 2364
info@paques.id
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