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EP-4736518-A1 - SYSTEM AND METHOD TO ANALYZE AND VISUALIZE DRIVE TEST DATA

EP4736518A1EP 4736518 A1EP4736518 A1EP 4736518A1EP-4736518-A1

Abstract

The present invention discloses a system (108) and method for analyzing and visualizing data in context of a telecom network The system (108) allows drive test data from various sources to be efficiently parsed, translated, and validated 5 using a data parser module (212), a translator module (216), and a validator module (214) for each individual drive test data source. The processed data from each drive test data source is subsequently stored in a centralized database (210). The system enables the execution of separate processing jobs aimed at visualizing drive test data from multiple sources across different layers. The visualization aspect provides 10 valuable insights into the performance and characteristics of the telecom network, facilitating enhanced analysis and decision-making processes.

Inventors

  • BHATNAGAR, AAYUSH
  • TARAN, MAYANK
  • SINGH, VIKRAM
  • BHATNAGAR, PRADEEP KUMAR
  • Sankaran, Sundaresh
  • AMBALIYA, Haresh B
  • DERE, Makarand Sushil
  • RANA, Abhinav
  • WADHWANI, Vikas
  • SHAH, BRIJESH
  • CHOURASIA, NITESH KUMAR

Assignees

  • Jio Platforms Limited

Dates

Publication Date
20260506
Application Date
20240531

Claims (18)

  1. 1. A method (600) of analyzing and visualizing a drive test data received from a plurality of data sources, the method comprising: receiving, by one or more processors, a plurality of drive test data from the plurality of data sources, each data source of the plurality of data sources includes a plurality of key performance indicators (KPIs) information; parsing, by one or more dedicated data parser modules (304A- 304C), the received plurality of drive test data to extract the KPI information corresponding to each data source of the plurality of data sources and generating a parsed drive test data; translating, by one or more dedicated translator modules (306A- 306C), the parsed drive test data for generating a translated drive test data having a uniform format; validating, by one or more dedicated validator modules (308A- 308C), the translated drive test data based on a plurality of attributes to generate a validated drive test data; storing, in a centralized database (310), the validated drive test data; and generating visualizations, by a user interface module (311), of the stored drive test data.
  2. 2. The method (600) of claim 1 , further comprising providing, by the user interface module (311), visualization options to end-user to select and visualize drive test data corresponding to each data source of the plurality of data sources.
  3. 3. The method (600) of claim 1, further comprising generating a plurality of reports by employing at least one optimization decision technique by leveraging the plurality of KPIs from the plurality of data sources.
  4. 4. The method (600) of claim 1, further comprising displaying a layering data combined from different data sources, allowing the end-user to select a view of drive test data by combining two or more data sources.
  5. 5. The method (600) of claim 1, wherein the plurality of attributes includes an accuracy attribute, a consistency attribute, a range attribute, and a completeness attribute.
  6. 6. The method (600) of claim 1, further comprising storing the validated drive test data, in the centralized database (310), along with a network performance Key Performance Indicator (KPI) and a unique data source identifier.
  7. 7. The method (600) of claim 1 , wherein the plurality of KPIs includes a reference signal received power (RSRP), a signal to noise interference ratio (SINR), a reference signal received quality (RSRQ), an uplink throughput, and a downlink throughput.
  8. 8. The method (600) of claim 1, further comprising updating the centralized database (310), when a new data source is incorporated, ensuring seamless access and visualization of an updated drive test data.
  9. 9. A system (108) for analyzing and visualizing drive test data received from a plurality of data sources, comprising: one or more processors configured to receive a plurality of drive test data from the plurality of data sources, each data source of the plurality of data sources is configured to have a plurality of key performance indicators (KPIs) information; one or more dedicated data parser modules (304A-304C) for each individual data source, configured to parse the received plurality of drive test data to extract KPI information corresponding to each data source of the plurality of data sources for generating a parsed drive test data; one or more dedicated translator modules (306A-306C) for each data source of the plurality of data sources, configured to translate the parsed drive test data to generate a translated drive test data having a uniform format; one or more dedicated validator modules (308A-308C) for each data source of the plurality of data sources, configured to validate the translated drive test data based on a plurality of attributes to generate a validated drive test data; a centralized database (310) configured to store the validated drive test data; and a user interface module (311) configured to generate a visualization of the stored drive test data.
  10. 10. The system (108) of claim 9, wherein the user interface module (311) is configured to provide visualization options to end-user to select and visualize drive test data corresponding to each data source of the plurality of data sources.
  11. 11. The system (108) of claim 9, wherein the user interface module (311) is configured to display a layering data combined from different data sources, allowing the end-user to select a view of drive test data by combining two or more data sources.
  12. 12. The system (108) of claim 9, wherein the plurality of attributes includes an accuracy attribute, a consistency attribute, a range attribute, and a completeness attribute.
  13. 13. The system (108) of claim 9, wherein the centralized database (310) is configured to store the validated drive test data along with a network performance Key Performance Indicator (KPI) and a unique data source identifier.
  14. 14. The system (108) of claim 9, wherein the plurality of KPIs includes a reference signal received power (RSRP), a signal to noise interference ratio (SINR), a reference signal received quality (RSRQ), an uplink throughput, and a downlink throughput.
  15. 15. The system (108) of claim 9, is further configured to generate a plurality of reports by employing at least one optimization decision technique by leveraging the plurality of KPIs from the plurality of data sources.
  16. 16. The system (108) of claim 9, is further configured to update the centralized database (310), when a new data source is incorporated, ensuring seamless access and visualization of the updated drive test data.
  17. 17. A user equipment (104) communicatively coupled with a network (106), the coupling comprises steps of: receiving a connection request; sending an acknowledgment of connection request to the system (108); and transmitting to and receiving data from the network (106), wherein the user equipment (104) is configured to communicatively couple with system (108) for analyzing and visualizing drive test data received from a plurality of data sources as claimed in claim 5 and generate visualizations of the drive test data.
  18. 18. A computer program product comprising a non-transitory computer-readable medium comprising instructions that, when executed by one or more processors, cause the one or more processors to: receive a plurality of drive test data from a plurality of data sources, each data source is configured to have a plurality of key performance indicators (KPIs) information; parse the received plurality of drive test data to extract KPI information corresponding to each data source of the plurality of data sources for generating a parsed drive test data; translate the parsed drive test data to generate a translated drive test data having a uniform format; validate the translated drive test data based on a plurality of attributes to generate a validated drive test data; store the validated drive test data; and generate a visualization of the stored drive test data.

Description

SYSTEM AND METHOD TO ANALYZE AND VISUALIZE DRIVE TEST DATA RESERVATION OF RIGHTS [0001] A portion of the disclosure of this patent document contains material, which is subject to intellectual property rights such as but are not limited to, copyright, design, trademark, integrated circuit (IC) layout design, and/or trade dress protection, belonging to Jio Platforms Limited (JPL) or its affiliates (hereinafter referred as owner). The owner has no objection to the facsimile reproduction by anyone of the patent document or the patent disclosure, as it appears in the Patent and Trademark Office patent files or records, but otherwise reserves all rights whatsoever. All rights to such intellectual property are fully reserved by the owner. FIELD OF INVENTION [0002] The present disclosure generally relates to the field of telecommunications. More particularly, the present disclosure relates to a system and a method for analysing and visualising the drive test data for a telecom network. DEFINITION [0003] As used in the present disclosure, the following terms are generally intended to have the meaning as set forth below, except to the extent that the context in which they are used to indicate otherwise. [0004] The expression ‘key performance indicator (KPI)’ used hereinafter in the specification refers to a measurable value that helps an organization to track and evaluate its progress toward achieving specific goals. [0005] The expression ‘drive test data’ used hereinafter in the specification refers to data collected during mobile network drive tests. Drive tests involve physically driving or moving around an area while collecting data on various parameters of the mobile network, such as signal strength, call quality, data throughput, and handover performance between different cells or towers. This data is crucial for mobile network operators to optimize their network performance, identify areas with poor coverage or quality, and make necessary improvements. It helps them understand real-world user experience and optimize their network infrastructure accordingly. The drive test data usually includes information such as signal strength, signal quality, call drops, data throughput, and handover performance. [0006] These definitions are in addition to those expressed in the art. BACKGROUND OF THE INVENTION [0007] The following description of the related art is intended to provide background information pertaining to the field of the disclosure. This section may include certain aspects of the art that may be related to various features of the present disclosure. However, it should be appreciated that this section is used only to enhance the understanding of the reader with respect to the present disclosure, and not as admission of the prior art. [0008] In the telecommunications sector, drive tests are indispensable for collecting crucial data necessary for improving network functionality. For example, when deploying new infrastructure like cell towers or adjusting network configurations, engineers conduct drive tests to assess the impact on signal strength and overall network performance. These tests involve collecting data from various sources, such as mobile devices, to evaluate network performance indicators like coverage, quality, and interference. Analyzing and visualizing drive test data from multiple sources is essential for engineers to optimize telecom networks effectively. [0009] Existing methods for visualizing drive test data from multiple sources require significant development efforts. Each time a new drive test data source was added to the visualization layer, extensive work was needed to parse, translate, validate, and process the data. This involved developing custom data parsing and translation algorithms for each data source, ensuring data consistency and accuracy, and integrating the data into the visualization system. The complexity of these tasks often resulted in time-consuming and resource-intensive development processes. Testing professionals had to invest substantial effort in understanding the data formats, parsing the data, addressing variations in naming conventions and data structures among different drive test tools, and validating the data to ensure its reliability. [0010] Furthermore, the integration of data from multiple sources into a unified visualization layer posed additional challenges. Synchronizing and aligning data from diverse sources required intricate data mapping and processing techniques, making the development process even more cumbersome. [0011] As a consequence, the existing methods for visualization of drive test data from multiple sources suffered from inefficiencies and limitations. The development efforts required for each new data source addition hindered scalability and agility in incorporating data from different drive test tools. This hindered the timely availability of accurate and comprehensive visualizations for network optimization. [0012] There is, there