System and method for identifying trends of technology-wise data consumption by network devices

Abstract

Disclosed is a method (600) for identifying trends of technology-wise data consumption by one or more of network devices in a communication network (100). The method includes identifying (602) one or more events on the one or more network devices available in the communication network and acquiring (604), network data from the one or more network devices at an interval of a pre-defined time-period. Further, the method includes determining (606) a number of bytes consumed by a user of a corresponding network device of the one or more network devices. Furthermore, the method includes generating (608) a user profile based on the determined number of bytes consumed by a corresponding user. Further, the method includes segregating (610) the network data into technology-wise data 15 consumption based on the user profile and identifying (612) a trend of the technology-wise data consumption based on the segregated network data.

Description

SYSTEM AND METHOD FOR IDENTIFYING TRENDS OF TECHNOLOGY-WISE DATA CONSUMPTION BY NETWORK DEVICESTECHNICAL FIELD

[0001] The embodiments of the present disclosure generally relate to the field of communication networks. More particularly, the present disclosure relates to a system and a method for identifying trends of technology -wise data consumption by network devices in a communication network.BACKGROUND OF THE INVENTION

[0002] The subject matter disclosed in the background section should not be assumed or construed to be prior art merely due to its mention in the background section. Similarly, any problem statement mentioned in the background section or its association with the subject matter of the background section should not be assumed or construed to have been previously recognized in the prior art.

[0003] With the advent of technological advancement in the field of telecommunications, several wireless technologies have been developed to meet the growing number of network devices. As mobile and cellular communication networks experience growing data demands, there is a strong emphasis on identifying trends of data consumption using network devices.

[0004] In absence of identification of trends of data consumption using network devices, an organization struggles to suggest better plan as per user’s needs. Further, without knowledge of data consumption of the network devices, the organization is not able to optimize their network to provide remarkable service to the user. In addition, the organization is not able to determine user-based profiling to resolve real time problems in case they face problem related with low network by checking their consumptions.

[0005] In light of the aforementioned challenges, there is a need for a solution that can address above-mentioned challenges in identification of trends of technologywise data consumption using network devices.SUMMARY

[0006] The following embodiments present a simplified summary in order to provide a basic understanding of some aspects of the disclosed invention. This summary is not an extensive overview, and it is not intended to identify key / critical elements or to delineate the scope thereof. Its sole purpose is to present some concepts in a simplified form as a prelude to the more detailed description that is presented later.

[0007] In an embodiment, a method for identifying trends of technology-wise data consumption by one or more network devices in a communication network is disclosed. The method includes identifying, by an identification module, one or more events on the one or more network devices available in the communication network. The method further includes acquiring, by an acquisition module based on the one or more events, network data from the one or more network devices at an interval of a pre-defined time-period. Further, the method includes determining, by a determination module, a number of bytes consumed by a user of a corresponding network device of the one or more network devices, wherein the number of bytes consumed by the user is calculated in the pre-defined time-period. Furthermore, the method includes generating, by a generation module, a user profile based on the determined number of bytes consumed by a corresponding user. Further, the method includes segregating, by a processing module, the network data into technology -wise data consumption based on the user profile. Thereafter, the method includes identifying, by the processing module, a trend of the technology-wise data consumption associated with the one or more network devices based on the segregated network data.

[0008] In some aspects of the present disclosure, the method further includes receiving, by a reception module, input data from an application installed on each ofthe one or more network devices and identifying, by the identification module, the one or more events on the one or more network devices from the received input data.

[0009] In some aspects of the present disclosure, the method further includes storing, by a storage module, data related to the number of bytes in a database in a form of a table.

[0010] In some aspects of the present disclosure, the table is an Hbase table.

[0011] In some aspects of the present disclosure, the network data comprises at least one of a device Identifier (ID), last boot time, rxMobileByte, rxWifiByte, txMobileByte, txWifiByte each device of the one or more network devices.

[0012] In some aspects of the present disclosure, the one or more events comprise device activity, device screen on / off status, an application launch, location on / off, an airplane mode on / off, a charger connect / disconnect, Reference Signal Received Power (RSRP) threshold, coverage status, a switch between cellular and WiFi associated with each device of the one or more network devices.

[0013] According to another embodiment of the present disclosure, a system for identifying trends of technology-wise data consumption by one or more network devices in a communication network is disclosed. The system includes an identification module configured to identify one or more events on the one or more network devices available in the communication network. The system further includes an acquisition module configured to acquire, based on the one or more events, network data from the one or more network devices at an interval of a predefined time-period. Further, the system includes a determination module configured to determine a number of bytes consumed by a user of a corresponding network device of the one or more network devices, wherein the number of bytes consumed by the user is calculated in the pre-defined time-period. Furthermore, the method includes a generation module configured to generate a user profile based on the determined number of bytes consumed by a corresponding user. Further, the system includes a processing module configured to segregate the network data intotechnology -wise data consumption based on the user profile. The processing module is further configured to identify a trend of the technology-wise data consumption associated with the one or more network devices based on the segregated network data.BRIEF DESCRIPTION OF DRAWINGS

[0014] Various embodiments disclosed herein will become better understood from the following detailed description when read with the accompanying drawings. The accompanying drawings constitute a part of the present disclosure and illustrate certain non-limiting embodiments of inventive concepts. Further, components and elements shown in the drawings are not necessarily to scale, emphasis instead being placed upon clearly illustrating the principles of the present disclosure. For the purpose of consistency and ease of understanding, similar components and elements are annotated by reference numerals in the exemplary drawings.

[0015] FIG. 1 illustrates an exemplary diagram of a communication network environment, in accordance with an embodiment of the present disclosure.

[0016] FIG. 2 illustrates a system depicting flow of data within communication network environment, in accordance with an embodiment of the present disclosure.

[0017] FIG. 3 illustrates a block diagram that illustrates exemplary components of a subsystem for identifying trends of technology-wise data consumption by the network devices in the communication network, in accordance with an embodiment of the present disclosure.

[0018] FIG. 4 illustrates a data flow diagram of capturing events, in accordance with an embodiment of the present disclosure.

[0019] FIG. 5 illustrates a dataflow diagram of a method for generating reports that indicate network usage, in accordance with an embodiment of the present disclosure.

[0020] FIG. 6 illustrates a flow diagram of a method for identifying trends of technology -wise data consumption by network devices in a communication network, in accordance with an embodiment of the present disclosure.

[0021] FIG. 7 illustrates a schematic block diagram of a computing system for identifying trends of technology-wise data consumption by network devices in the communication network, in accordance with an embodiment of the present disclosure.DETAILED DESCRIPTION OF THE INVENTION

[0022] Inventive concepts of the present disclosure will now be described more fully hereinafter with reference to the accompanying drawings, in which examples of one or more embodiments of inventive concepts are shown. Inventive concepts may, however, be embodied in different forms and should not be construed as limited to the embodiments set forth herein. Further, the one or more embodiments disclosed herein are provided to describe the inventive concept thoroughly and completely, and to fully convey the scope of each of the present inventive concepts to those skilled in the art. Furthermore, it should be noted that the embodiments disclosed herein are not mutually exclusive concepts. Accordingly, one or more components from one embodiment may be tacitly assumed to be present or used in any other embodiment.

[0023] The following description presents various embodiments of the present disclosure. The embodiments disclosed herein are presented as teaching examples and are not to be construed as limiting the scope of the present disclosure. The present disclosure should in no way be limited to the illustrative implementations, drawings, and techniques illustrated below, including the exemplary design and implementation illustrated and described herein, but may be modified, omitted, or expanded upon without departing from the scope of the present disclosure.

[0024] The following description contains specific information pertaining to embodiments in the present disclosure. The detailed description uses the phrases “in some embodiments” or “some implementations” which may each refer to one or more or all of the same or different embodiments or implementations. The term“some” as used herein is defined as “one, or more than one, or all.” Accordingly, the terms “one,” “more than one,” “more than one, but not all” or “all” would all fall under the definition of “some.” In view of the same, the terms, for example, “in an embodiment” or “in an implementation” refers to one embodiment or one implementation and the term, for example, “in one or more embodiments” refers to “at least one embodiment, or more than one embodiment, or all embodiments ”. Further, the term, for example, “in one or more implementations” refers to “at least one implementation, or more than one implementation, or all implementations.

[0025] The term “comprising,” when utilized, means “including, but not necessarily limited to;” it specifically indicates open-ended inclusion in the so-described one or more listed features, elements in a combination, unless otherwise stated with limiting language. Furthermore, to the extent that the terms “includes,” “has,” “have,” “contains,” and other similar words are used in either the detailed description, such terms are intended to be inclusive in a manner similar to the term “comprising.”

[0026] In the following description, for the purposes of explanation, various specific details are set forth in order to provide a thorough understanding of embodiments of the present disclosure. It will be apparent, however, that embodiments of the present disclosure may be practiced without these specific details. Several features described hereafter can each be used independently of one another or with any combination of other features.

[0027] The description provided herein discloses exemplary embodiments only and is not intended to limit the scope, applicability, or configuration of the present disclosure. Rather, the foregoing description of the exemplary embodiments will provide those skilled in the art with an enabling description for implementing any of the exemplary embodiments. Specific details are given in the following description to provide a thorough understanding of the embodiments. However, it may be understood by one of the ordinary skilled in the art that the embodiments disclosed herein may be practiced without these specific details.

[0028] The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the disclosure. As used herein the description, the singular forms "a", "an", and "the" include plural forms unless the context of the invention indicates otherwise.

[0029] The terminology and structure employed herein are for describing, teaching, and illuminating some embodiments and their specific features and elements and do not limit, restrict, or reduce the scope of the present disclosure. Accordingly, unless otherwise defined, all terms, and especially any technical and / or scientific terms, used herein may be taken to have the same meaning as commonly understood by one having ordinary skill in the art.

[0030] Embodiments of the present disclosure will be described below in detail with reference to the accompanying drawings. FIG. 1 through FIG. 7, discussed below, and the one or more embodiments used to describe the principles of the present disclosure are by way of illustration only and should not be construed in any way to limit the scope of the present disclosure. Those skilled in the art will understand that the principles of the present disclosure may be implemented in any suitably arranged system or device.

[0031] Various aspects of the present disclosure provide a system and a method for identifying trends of data consumption by network devices in a communication network.

[0032] In another aspect of the present disclosure, the system and the method capture one or more events and generate reports indicating network usage.

[0033] Several key terms used in the description play pivotal roles in facilitating the system functionality. In order to facilitate an understanding of the description, the key terms are defined below.

[0034] A “Software Development Kit (SDK)” in the present disclosure may be a set of software-building tools for a specific platform. The SDK may be a collection oftools, libraries, and instructions that help developers in developing software applications.

[0035] An “Airplane mode” in the present disclosure may be a setting on a network device that disables all wireless communication functions. When activated, the airplane mode may prevent the network device from sending or receiving calls, texts, data, or connecting to other devices.

[0036] A “Reference Signal Received Power (RSRP)” in the present disclosure may measure power of a reference signal received by the network device from a base station. The RSRP may be used to determine signal strength and assess network coverage quality, aiding in tasks like cell selection, reselection, and handover.

[0037] FIG. 1 illustrates an exemplary diagram of a communication network environment 100, in accordance with an embodiment of the present disclosure. The communication network environment 100 includes a core network 102 (hereinafter referred to as network 102). The network 102 may be coupled with a plurality of Base Stations (BSs) or a plurality of nodes including Node 104-1 through Node 104- N and is configured to facilitate a secured communication among the plurality of nodes (collectively referred to as the “Nodes 104”, and individually referred to as the “Node 104”, hereinafter). The communication network environment 100 further includes a server 108 connected to the network 102. The server 110 is configured to execute data processing and data storing operations to optimize the network coverage in the wireless communication environment 100. In an embodiment, each node may be coupled with one or more User Equipment (UEs) or one or more network devices 106 (presented by way of first through Nth network device 106-1 to 106-N) (collectively referred to as the “network devices 106”, and individually referred to as the “network device 106”, hereinafter). For example, the network 102 may establish a secured communication between the network device 106-2 and the network device 106-N with equal effectiveness, where the network device 106-2 is coupled with the Node 104-1 and the network device 106-N is coupled with the Node 104-N.

[0038] In one embodiment, the network 102 may establish a secured communication between the network devices 106 associated with the plurality of nodes 104. In another embodiment, the network 102 may establish a secured communication between the network devices 106 associated with the same node 104. For example, the network 102 may effectively establish a secured communication between the network device 106-1 and the network device 106-2, where the network device 106- 1 and the network device 106-2 both are coupled with the Node 104-1.

[0039] In an exemplary embodiment, the network 102 may be configured as an application server and may be communicably operational or may be integrated with a network device 106 via a network coupled with a server. In another exemplary embodiment, the network device 106 may be a wireless device. The wireless device may be a mobile device that may include, for example, cellular telephone, such as a feature phone or smartphone and other devices. The network device 106 may not be limited to the above-mentioned devices but may include any type of device capable of providing wireless communication, such as a cellular phone, a tablet computer, a Personal Digital Assistant (PDA), a Personal Computer (PC), a laptop computer, a media center, a workstation, and other such devices.

[0040] The network 102 may pertain to 5G service-based architecture and may be configured to interconnect distinct networks associated with the architecture. Therefore, the network 102 may provide a path for the exchange of information between one or more of the networks, and corresponding subnetworks. Further, as the backbone, the core network may tie together diverse networks, say Local Area Network (LAN), Wide Area Network (WAN), Metropolitan Area Network (MAN), etc. which may be there within the same building, in different buildings, in a campus environment, or remotely located over wide areas. The system may also boost the network performance by continuously coordinating with other network functions.

[0041] In an example embodiment, the network 102 may pertain to at least one of a wireless network, a wired network, or a combination thereof. The network may be implemented as one of the different types of networks, such as Intranet, LAN, WAN,Internet, and the like. Further, the network may either be a dedicated network or a shared network. The shared network may represent an association of the different types of networks that may use variety of protocols, for example, Hypertext Transfer Protocol (HTTP), Transmission Control Protocol / Internet Protocol (TCP / IP), Wireless Application Protocol (WAP), Automatic Repeat Request (ARQ), and the like. In an embodiment, the network may pertain to, for example a 5G network that may be facilitated through, for example, Global System for Mobile communication (GSM) network; a Universal Terrestrial Radio Access Network (UTRAN), an Enhanced Data rates for GSM Evolution (EDGE) Radio Access Network (GERAN), an Evolved Universal Terrestrial Radio Access Network (E-UTRAN), a Wi-Fi or other LAN access network, or a satellite or terrestrial wide-area access network such as a Worldwide Interoperability for Microwave Access (WiMAX) network. Various other types of communication network or service may be possible.

[0042] In an example, the network 102 may utilize different sort of air interface, such as a Code Division Multiple Access (CDMA), Time Division Multiple Access (TDMA), or Frequency Division Multiple Access (FDMA), air interface and other implementation. In an example embodiment, the wire-line user device may use wired access networks, exclusively or in combination with wireless access networks, for example, including Plain Old Telephone Service (POTS), Public Switched Telephone Network (PSTN), Asynchronous Transfer Mode (ATM), and other network technologies configured to transport Internet Protocol (IP) packets. Further, the network 102 may include a proprietary IP network, Internet, or other data network.

[0043] The network 102 may receive network data of each network device 106 through a corresponding node 104. For example, the network 102 may receive the network data of the network devices 106-1 and 106-2 through the node 104-1, the network data of the network devices 106-3 and 106-4 through the node 104-2, and the network data of the network devices 106-(N-l) and 106 N through the node 104- N. The network data may include, but is not limited to, the last boot time of the network device, rxMobileByte, rxWifiByte, txMobileByte, txWifiByte at different intervals of time. The network data of the network devices 106 may be utilized bythe network 102 to identify the network device 106. In addition, the network 102 may decide which model is highly utilized for which technology.

[0044] The server 108 may be a network of computers, a software framework, or a combination thereof, that may provide a generalized approach to create a server implementation. Examples of the server 108 may include, but are not limited to, personal computers, laptops, mini-computers, mainframe computers, any nontransient and tangible machine that can execute a machine-readable code, cloudbased servers, distributed server networks, or a network of computer systems. The server 108 may be realized through various web-based technologies or any webapplication framework. In other aspects of the present disclosure, the server 108 may be configured to execute one or more data processing and / or storage operations in the communication network environment 100.

[0045] For obtaining the network data from the network devices 106, an application using a Software Development Kit (SDK) may be integrated in the network devices. In a non-limiting example, the SDK may be a third-party application that monitors the network device 106. The network data may be encrypted to ensure security of the network data. The SDK may capture the network data at a specified event, such as device screen ON / OFF, application launch, location ON / OFF, airplane mode, Reference Signal Received Power (RSRP) threshold, no coverage, Long Term Evolution (LTE) / New Radio (NR) to wireless fidelity (WiFi) switch, and WiFi to LTE / NR switch. Along with the events, the network data, such as make, model, build ID, baseband, and other details are also captured. The network data of each network device 106 may be tagged with a unique device ID for identification purposes. The network data along with events may be obtained by the network 102. The obtained network data may be used to segregate the network device 106 technology wise, device ID wise, and model wise. The above-mentioned details may be captured into a readable format, such as excel sheet.

[0046] FIG. 2 illustrates a system 200 depicting flow of data within the communication network environment 100, in accordance with an embodiment of thepresent disclosure. The embodiment of the system 200 shown in FIG. 2 is for illustration only. Other embodiments of the system 200 may be used without departing from the scope of this disclosure.

[0047] The system 200 may include various components such as one or more network devices 106, the server 108, an event manager 202, processing modules 204, and a database 206.

[0048] In some embodiments, the at least one node 104 may communicate with each other and with the at least one network device 106 using a communication technique, such as a 5th Generation 5G / New Radio (NR), Long Term Evolution (LTE), Long Term Evolution Advanced (LTE-A), Worldwide Interoperability for Microwave Access (WiMAX), Wireless Fidelity (Wi-Fi), or other wireless communication techniques. The server 108 may include suitable logic, circuitry, and interfaces that may be configured to provide several network ports and several communication channels for transmission and reception of data related to operations of various entities of the communication network environment 100.

[0049] The event manager 202 may comprise the SDK to capture the device data at a specified event, such as device screen ON / OFF, application launch, location ON / OFF, airplane mode, Reference Signal Received Power (RSRP) threshold, no coverage, LTE / NR to WiFi switch, and WiFi to LTE / NR switch.

[0050] The processing modules 204 may comprise a Central Processing Unit (CPU) and a Graphics Processing Unit (GPU) for performing computations and handling data processing tasks. The CPU may also be referred to as processor. The processor may include one or more general purpose processors and / or one or more special purpose processors, a microprocessor, a digital signal processor, an application specific integrated circuit, a microcontroller, a state machine, or ay any type of programmable logic array.

[0051] The database 206 may store data received from network components of the communication network environment 100. For example, the database 114 may store the device data collected from the network device 106.

[0052] FIG. 3 illustrates a block diagram that illustrates exemplary components of a subsystem 300 for identifying trends of technology-wise data consumption by the network devices 106 in the communication network 102, in accordance with an embodiment of the present disclosure. The subsystem 300 may be a part of the processing modules 204. The subsystem 300 includes a data processing circuitry 302, a device memory 324, and the database 206 coupled to each other through a first communication bus 304.

[0053] According to the exemplary embodiment, the data processing circuitry 302 includes an identification module 306, an acquisition module 308, a determination module 310, a generation module 312, a reception module 314, a storage module 316, a planning engine 318, a notification engine 320, and a processing module 322. Various engines in the data processing circuitry 302 may be coupled to each other through a second communication bus 328. In an embodiment, one or more modules in the data processing circuitry 302 may be combined to a single module or each module of the one or more modules may be further subdivided into different modules with divided responsibilities.

[0054] The reception module 314 may be configured to receive input data from an application installed on each of the one or more network devices 106. The identification module 306 may be configured to identify one or more user events on the network devices 106 available in the communication network from the received input data. The identification module 306 may be configured to monitor the user events executed on the network devices 106. The user events may be, but are not limited to, device activity, device screen on / off status, an application launch, location on / off, an airplane mode on / off, a charger connect / disconnect, Reference Signal Received Power (RSRP) threshold, coverage status, a switch between cellular and WiFi associated with each device of the network devices 106.

[0055] The acquisition module 308 may be configured to acquire network data from the network devices 106 based on the user events at an interval of a pre-defined timeperiod. The network data may include, but are not limited to, a device Identifier (ID),last boot time, rxMobileByte, rxWifiByte, txMobileByte, txWifiByte each device of the network devices 106. For obtaining the network data from the network devices 106, an application developed using the SDK may be integrated in the network devices 106. In a non-limiting example, the SDK may be a third-party application that monitors the network devices 106. The device data may be encrypted to ensure security of the network data.

[0056] The determination module 310 may be configured to determine consumption of data or a number of bytes consumed by a user of the corresponding network device 106. The network data may be utilized to calculate a number of bytes consumed by the user in a pre-defined time-period. For example, the data consumption by the user may be determined in hourly basis. The above-mentioned details may be captured into a readable format, such as excel sheet.

[0057] The generation module 312 may be configured to generate a user profile based on the consumption of data by the user. The user profile may comprise a pattern of data consumption by the user of the corresponding network device 106.

[0058] The planning engine 318 may be configured to utilize the user profile to set a trend for the user for whole day the way data has been utilized. For example, after collecting data we have implemented a unique algorithm code which will process this data and make use of (device ID, last boot time, rxMobileByte, rxWifiByte, txMobileByte, txWifiByte) on each interval of hourly collected data, its compared with its previous hours utilization likewise 24hrs trend is identified and plotted.

[0059] The notification engine 320 may be configured to notify the users through the network. For example, the notification may be provided on the network devices 106. In an implementation, the notification may be displayed on a display screen of the network devices 106.

[0060] The storage module 316 may be configured to store the network data in the database 206. The database 206 may comprise device data repository 326 to store thenetwork data. The network data may be stored in form of a Hbase table. The table is exported in an excel sheet to accumulate the device data.

[0061] The processing module 322 may be configured to segregate the network data into technology wise data consumption based on the user profile. Further, the processing module 322 may be configured to identify a trend of the technology-wise data consumption associated with the one or more network devices 106 based on the segregated network data.

[0062] Various engines of the data processing circuitry 302 are presented to illustrate the functionality driven by the system. It will be apparent to a person having ordinary skill in the art that various engines in the data processing circuitry 302 are for illustrative purposes and not limited to any specific combination of hardware circuitry and / or software.

[0063] The data processing circuitry 302 may include one or more general purpose processors and / or one or more special purpose processors, a microprocessor, a digital signal processor, an application specific integrated circuit, a microcontroller, a state machine, or ay any type of programmable logic array. The data processing circuitry 302 may include may include an intelligent hardware device including a general - purpose processor, such as, for example, and without limitation, a Central Processing Unit (CPU), an Application Processor (AP), a dedicated processor, or the like, a graphics-only processing unit such as a Graphics Processing Unit (GPU), a microcontroller, a Field-Programmable Gate Array (FPGA), a programmable logic device, a discrete hardware component, or any combination thereof. The data processing circuitry 302 may be configured to execute computer-readable instructions stored in the device memory 324 to cause the application server to perform various functions.

[0064] The device memory 324 may further include, but not limited to, non- transitory machine-readable storage devices such as hard drives, magnetic tape, floppy diskettes, optical disks, compact disc read-Only Memories (CD-ROMs), and magneto-optical disks, semiconductor memories, such as ROMs, RAMS,programmable read-only memories PROMs), erasable PROMs (EPROMs), electrically erasable PROMs (EEPROMs), flash memory, magnetic or optical cards, or other type of media / machine-readable medium suitable for storing electronic instructions.

[0065] In addition, the memory may, in some examples, be considered a non- transitory storage medium. The "non -transitory" storage medium is not embodied in a carrier wave or a propagated signal. However, the term "non-transitory" should not be interpreted as the memory is non-movable. In some examples, the memory may be configured to store larger amounts of information. In certain examples, a non- transitory storage medium may store data that can, over time, change (e.g., in Random Access Memory (RAM) or cache). The memory may be an internal storage unit or an external storage unit of the server, cloud storage, or any other type of external storage.

[0066] Although FIG. 3 illustrates one example of the subsystem 300 that includes critical components of the system for executing the write operation(s) on the computer application, various changes may be made to FIG. 3, without deviating from the scope of the present disclosure. Further, the subsystem 300 may include any number of components in addition to those shown in FIG.3 without deviating from the scope of the present disclosure. Further, various components in FIG. 3 may be combined, further subdivided, or omitted and additional components may be added according to particular needs.

[0067] FIG. 4 illustrates a data flow diagram 400 of capturing events, in accordance with an embodiment of the present disclosure. As illustrated in FIG. 4, the SDK may capture the network data at one or more events 402-1, 402-2, 402-3, and 402-N, at block 404. The one or more events may be screen ON / OFF event 402-1 of the network device, location ON / OFF event 402-2 of the network device, an airplane mode event 402-3 of the network device, and an application launch event 402-N of the network device. The network data may include, but is not limited to, the last boot time of the network device, rxMobileByte, rxWifiByte, txMobileByte, txWifiByte atdifferent intervals of time. The captured network data may be stored in the network device, at block 406. For example, the network data of a mobile phone may be stored locally in the memory of the mobile phone. The network data may be stored in a periodic manner in a pre-defined period of time. For example, the network data may be stored in the memory hourly basis.

[0068] The network data may be synced, at block 408. The synchronization of the network data may be performed at the server 108. The synchronization may be performed at daily basis. In synchronization process, the network data may be associated with a unique tag. At block 410, the network data may be processed by the server 108. The network data of the network devices 106 may be utilized by the server 108 to calculate a number of bytes consumed (transmitted or received) by the user in the pre-defined period of time.

[0069] The data related to data consumption of each network device may be stored in a server, at block 412. The data may be stored hourly basis. Further, the server 108 is further configured to generate a user profile based on the calculated number of bytes consumed by the user, at block 414. The user profile comprises data consumed by the user in the pre-defined period of time, such as hourly basis.

[0070] FIG. 5 illustrates a dataflow diagram of a method 500 for generating reports that indicate network usage, in accordance with an embodiment of the present disclosure. The method 500 comprises a series of operation steps indicated by blocks 502 through 518. The method 500 starts at block 502.

[0071] At block 502, the network data may be captured and stored in a mobile application on T days. The mobile application may be any third-party application integrated in the network device. In an embodiment, the mobile application is an SDK integrated with the network device. At block 504, when the user launches the application, the network data gets synchronized to the backend. If the network data is not captured on the launch of the application, the network data may be fetched on the next launch or event, at block 506. Data in backend gets sync in the encrypted format.

[0072] The network data is processed in backend in the batch process which takes place after every 2 mins interval, at block 508. The processed network data is then transmitted to an event streaming platform, at block 510. At the event streaming platform, the network data gets stored in an unstructured format in an unstructured data pool. In an implementation, the network data may be stored in a distributed streaming platform in the unstructured format. Further, the network data may be stored in a structured data pool, at block 512. In an implementation, the network data may be stored in Hbase in structured manner column wise. The structured data pool generally categorizes the network data as quantitative data that is organized and decipherable by machine learning algorithms. Further, the network data may be processed to obtain data consumption by the network device in a pre-defined interval, at block 514. For example, the data consumption may be recorded on an hourly basis. The final result may be recorded into a report, at block 516. An example of the data recorded into the readable format is presented below.Table 1 : Data received from users

[0073] Table 1 depicts data received from users passively captured file. The parameters like (rxMobileByte, txMobileByte) are used for calculating data used in a particular hour for transmission or receiving any file, streaming, downloading file on LTE or 5G network. The data is received in the form of bytes. After reception, the data is converted into MB and GB as per use cases. In similar way, (rxWifiByte, txWifiByte) are used in similar fashion for Wifi Network. The values received in the parameters (rxMobileByte, txMobileByte, rxWifiByte, txWifiByte) are incremental values, hence hourly subtracting previous hours value give us current hours value.

[0074] Further, final data is used for trend analysis and user profiling, at block 518. The data consumption of a user or a group of users may be collected on (not limited to) an hourly basis, daily basis, weekly basis, and monthly basis. The server 108 may generate a user profile for the user based on the data consumption recorded in the database 206. In some aspects, a profile for the group of users may be generated by the server 108. The user profile of the user may be utilized for analyzing the trend of data consumption.

[0075] Once the data consumption is collected and recorded in the database 206, the server 108 may segregate technology -wise data consumption of the user or the group of users based on the user profile or the generated profile for the group of users. Thesegregation of the technology-wise data consumption may be done for the LTE network, the 5G network, and the WiFi network. The segregation may be performed based on operator- wise, geographical area-wise, and time-wise segregation.

[0076] In some embodiments, the server 108 may segregate the data consumption of the user 1 as illustrated in table 1. The server 108 may perform the time-wise segregation for each technology -wise data consumption, such as the time-wise segregation for the LTE network, the 5G network, and the WiFi network. The server 108 may analyze the trend of the data consumption for each hour, or a definite period of a day. In a non-limiting example, the server 108 may analyze the trend of data consumption of the user 1 during peak hours of the day in both morning and evening. The server 108 may observe that the user 1 has consumed data using the LTE network or the 5G network during the peak hours of the day The server 108 may analyze the trend of data consumption of the user 1 during non-peak hours of the day, i.e. during the noon time and nighttime. The server 108 may observe that the user 1 has consumed the WiFi network during the non-peak hours of the day. The server 108 may send the trend analysis to a network service provider for optimizing network performance based on the data consumption.

[0077] In some embodiments, the server 108 may perform the geographical areawise segregation for each technology-wise data consumption, such as the geographical area -wise segregation for the LTE network, the 5G network, and the WiFi network. The server 108 may analyze the trend of the data consumption for each geographical area in the coverage region of the network 102. Based on the data consumption of each user or a group of users in each geographical area, the server 108 may analyze the trend of technology -wise data consumption. In a non-limiting example, the server 108 may analyze the trend of the data consumption for the LTE network, the 5G network, and the WiFi network in a particular geographical area. The server 108 may infer that the data consumption of te 5G network is more than the LTE and the Wifi networks. The server 108 may generate a trend analysis report to the network service provider of the particular geographical area for optimizingnetwork performance based on the data consumption. The network service provider may improve the LTE and the WiFi networks based on the report.

[0078] FIG. 6 illustrates a flow diagram of a method 600 for identifying trends of technology -wise data consumption by network devices 106 in a communication network environment 100, in accordance with an embodiment of the present disclosure. The method 600 comprises a series of operation steps indicated by blocks 602 through 612. The method 600 starts at block 602.

[0079] At block 602, the events on the network devices 106 available in the communication network environment 100 are identified. The user events may be, but are not limited to, device activity, device screen on / off status, an application launch, location on / off, an airplane mode on / off, a charger connect / disconnect, Reference Signal Received Power (RSRP) threshold, coverage status, a switch between cellular and WiFi associated with each device of the network devices 106.

[0080] In some aspects of the present disclosure, the events are captured by the application installed on the network devices 106. The captured events are received as the input data and are identified.

[0081] At block 604, the network data is acquired from the network devices 106 based on the events. The network data may be acquired at an interval of a pre-defined time-period. The pre-defined period may be (not limited to) an hourly basis, daily basis, weekly basis, and monthly basis. The server 108 may prescribe the pre-defined period based on a requirement of the network service provider. The network data may include, but are not limited to, a device Identifier (ID), last boot time, rxMobileByte, rxWifiByte, txMobileByte, txWifiByte each device of the network devices 106. For obtaining the network data from the network devices 106, an application developed using the SDK may be integrated in the network devices 106.

[0082] At block 606, data consumption by the user is determined using the network data. The data consumption may be represented in a form of a number of bytesconsumed by the user during upload and download. At block 608, the user profile may be generated based on the data consumption.

[0083] At block 610, the network data is segregated into technology-wise data consumption based on the user profile. At block 612, a trend of the technology -wise data consumption associated with the network devices 106 based on the segregated network data is identified.

[0084] FIG. 7 illustrates a schematic block diagram of a computing system 700 for identifying trends of technology -wise data consumption by network devices 106 in the communication network environment 100, in accordance with an embodiment of the present disclosure.

[0085] The computing system 700 includes a network 702, a network interface 704, a processor 706 (similar in functionality to the data processing circuitry 302 of FIG. 3), an Input / Output (I / O) interface 708, and a non-transitory computer readable storage medium 710 (hereinafter may also be referred to as the “storage medium 710” or the “storage media 710”). The network interface 704 includes wireless network interfaces such as Bluetooth, Wi-Fi, Worldwide Interoperability for Microwave Access (WiMAX), General Packet Radio Service (GPRS), or Wideband Code Division Multiple Access (WCDMA) or wired network interfaces such as Ethernet, Universal Serial Bus (USB), or Institute of Electrical and Electronics Engineers-874 (IEEE-874).

[0086] The processor 706 may include various processing circuitry / modules and communicate with the storage medium 710 and the VO interface 708. The processor 706 is configured to execute instructions stored in the storage medium 710 and to perform various processes. The processor 706 may include an intelligent hardware device including a general-purpose processor, such as, for example, and without limitation, the CPU, the AP, the dedicated processor, or the like, the graphics-only processing unit such as the GPU, the microcontroller, the FPGA, the programmable logic device, the discrete hardware component, or any combination thereof. The processor 706 may be configured to execute computer-readable instructions 710-1stored in the storage medium 710 to cause the system 200 to perform various functions disclosed throughput the disclosure.

[0087] The storage medium 710 stores a set of instructions i.e., computer program instructions 710-1 (hereinafter may also be referred to as instructions 710-1) required by the processor 706 for controlling its overall operations. The storage media 710 may include an electronic storage medium, a magnetic storage medium, an optical storage medium, a quantum storage medium, or the like. For example, the storage media 710 may include, but are not limited to, hard drives, floppy diskettes, optical disks, ROMs, RAMs, EPROMs, EEPROMs, flash memory, magnetic or optical cards, solid-state memory devices, or other types of physical media suitable for storing electronic instructions. In one or more embodiments, the storage media 710 includes a Compact Disk-Read Only Memory (CD-ROM), a Compact Disk- Read / Write (CD-R / W), and / or a Digital Video Disc (DVD). In one or more implementations, the storage medium 710 stores computer program code configured to cause the computing system 700 to perform at least a portion of the processes and / or methods disclosed herein throughput the disclosure.

[0088] Embodiments of the present disclosure have been described above with reference to flowchart illustrations of methods and systems according to embodiments of the disclosure, and / or procedures, algorithms, steps, operations, formulae, or other computational depictions, which may also be implemented as computer program products. In this regard, each block or step of the flowchart, and combinations of blocks (and / or steps) in the flowchart, as well as any procedure, algorithm, step, operation, formula, or computational depiction can be implemented by various means, such as hardware, firmware, and / or software including one or more computer program instructions embodied in computer-readable program code. As will be appreciated, any such computer program instructions may be executed by one or more computer processors, including without limitation a general -purpose computer or special purpose computer, or other programmable processing apparatus to perform a group of operations comprising the operations or blocks described in connection with the disclosed method.

[0089] Further, these computer program instructions, such as embodied in computer- readable program code, may also be stored in one or more computer-readable memory or memory devices (for example, the device memory 324 or the storage medium 710) that can direct a computer processor or other programmable processing apparatus to function in a particular manner, such that the instructions 710-1 stored in the computer-readable memory or memory devices produce an article of manufacture including instruction means which implement the function specified in the block(s) of the flowchart(s).

[0090] It will further be appreciated that the term “computer program instructions” as used herein refer to one or more instructions that can be executed by the one or more processors (for example, the data processing circuitry 302 or the processor 706) to perform one or more functions as described herein. The instructions 710-1 may also be stored remotely such as on a server, or all or a portion of the instructions can be stored locally and remotely.

[0091] Now, referring to the technical abilities and advantageous effect of the present disclosure, operational advantages that may be provided by embodiments disclosed herein may provide a unique approach to capture unique device ID based passive data. Such data includes device ID, last boot time, rxMobileByte, rxWifiByte, txMobileByte, txWifiByte details. Disclosure enables backend process or job which hourly calculates the data use of a user based on technology. Further, the disclosure provides a trend and profiling creation based on hourly received data usage for different technologies. The invention enables an organization to identify highly utilized network timing, so that they can plan to optimize their network in a better way to give good service to end users. This invention enables a user to take a proactive approach by collecting user data passively and better service and network. Further, user-based profiling also allows companies to resolve real time problems in case they face problem related with low network by checking their consumption. Furthermore, trend analysis of user data usage, help the organization to target a prime consumer and upgrade them to better plan.

[0092] Those skilled in the art will appreciate that the methodology described herein in the present disclosure may be carried out in other specific ways than those set forth herein in the above disclosed embodiments without departing from essential characteristics and features of the present invention. The above-described embodiments are therefore to be construed in all aspects as illustrative and not restrictive.

[0093] The drawings and the forgoing description give examples of embodiments. Those skilled in the art will appreciate that one or more of the described elements may well be combined into a single functional element. Alternatively, certain elements may be split into multiple functional elements. Elements from one embodiment may be added to another embodiment. For example, orders of processes described herein may be changed and are not limited to the manner described herein. Any combination of the above features and functionalities may be used in accordance with one or more embodiments.

[0094] In the present disclosure, each of the embodiments has been described with reference to numerous specific details which may vary from embodiment to embodiment. The foregoing description of the specific embodiments disclosed herein may reveal the general nature of the embodiments herein that others may, by applying current knowledge, readily modify and / or adapt for various applications such specific embodiments without departing from the generic concept, and, therefore, such adaptations and modifications are intended to be comprehended within the meaning of the disclosed embodiments. It is to be understood that the phraseology or terminology employed herein is for the purpose of description and is not limited in scope.LIST OF REFERENCE NUMERALS

[0095] The following list is provided for convenience and in support of the drawing figures and as part of the text of the specification, which describe innovations by reference to multiple items. Items not listed here may nonetheless be part of a given embodiment. For better legibility of the text, a given reference number is recited nearsome, but not all, recitations of the referenced item in the text. The same reference number may be used with reference to different examples or different instances of a given item. The list of reference numerals is:100 - Communication network environment102 - Core network104 / 104-1 to 104-N - One or more nodes106 / 106-1 to 106-N - One or more network devices108 - Server200 - System depicting flow of data202 - Event manager204 - Processing modules206 - Database300 - Subsystem for identifying trends of data consumption302 - Data processing circuitry304 - First communication bus306 - Identification module 306,308 - Acquisition module310 - Determination module312 - Generation module314 - Reception module316 - Storage module318 - Planning engine320 - Notification engine322 - Processing module324 - Device memory326 - Device data repository328 - Second communication bus400 - Data flow diagram for capturing events500 - Method for generating reports that indicate network usage 502-518 - Operation steps of the method 500600 - Method for identifying trends of data consumption602-612 - Operation steps of the method 600700 - Block diagram of a computing system702 - Network704 - Network interface 706 - Processor708 - Input / Output (I / O) interface710 - Non-transitory computer readable storage medium710-1 - Set of instructions

Claims

We Claim:

1. A method (600) for identifying trends of technology -wise data consumption by one or more network devices in a communication network, the method (600) comprising: identifying (602), by an identification module (306), one or more events on the one or more network devices available in the communication network; acquiring (604), by an acquisition module (308) based on the one or more events, network data from the one or more network devices at an interval of a predefined time-period; determining (606), by a determination module (310), a number of bytes consumed by a user of a corresponding network device of the one or more network devices, wherein the number of bytes consumed by the user is calculated in the predefined time-period; generating (608), by a generation module (312), a user profile based on the determined number of bytes consumed by a corresponding user; and segregating (610), by a processing module (322), the network data into technology -wise data consumption based on the user profile; and identifying (612), by the processing module (322), a trend of the technologywise data consumption associated with the one or more network devices based on the segregated network data.

2. The method (600) as claimed in claim 1, further comprises receiving, by a reception module (314), input data from an application installed on each of the one or more network devices; and identifying, by the identification module (306), the one or more events on the one or more network devices from the received input data.

3. The method (600) as claimed in claim 1, further comprises storing, by a storage module (316), data related to the number of bytes in a database in a form of a table.

4. The method (600) as claimed in claim 3, wherein the table is an Hbase table.

5. The method (600) as claimed in claim 1, wherein the network data comprises at least one of a device Identifier (ID), last boot time, rxMobileByte, rxWifiByte, txMobileByte, txWifiByte each device of the one or more network devices.

6. The method (600) as claimed in claim 1, wherein the one or more events comprise device activity, device screen on / off status, an application launch, location on / off, an airplane mode on / off, a charger connect / disconnect, Reference Signal Received Power (RSRP) threshold, coverage status, a switch between cellular and WiFi associated with each device of the plurality of network devices.

7. A system (200) for identifying trends of technology-wise data consumption by one or more network devices in a communication network, the system comprising: an identification module (306) configured to identify one or more events on the one or more network devices available in the communication network; an acquisition module (308) configured to acquire, based on the one or more events, network data from the one or more network devices at an interval of a predefined time-period; a determination module (310) configured to determine a number of bytes consumed by a user of a corresponding network device of the one or more network devices, wherein the number of bytes consumed by the user is calculated in the predefined time-period; a generation module (312) configured to generate a user profile based on the determined number of bytes consumed by a corresponding user; a processing module (322) configured to: segregate the network data into technology-wise data consumption based on the user profile; and identify a trend of the technology-wise data consumption associated with the one or more network devices based on the segregated network data.

8. The system (200) as claimed in claim 7, further comprises a reception module (314) configured to receive input data from an application installed on each of the one or more network devices, wherein the identification module (306) is further configured to identify the one or more events on the one or more network devices from the received input data.

9. The system (200) as claimed in claim 7, further comprises a storage module (316) configured to store data related to the number of bytes in a database in a form of a table.

10. The system (200) as claimed in claim 9, wherein the table is an Hbase table11. The system (200) as claimed in claim 7, wherein the network data comprises at least one of a device Identifier (ID), last boot time, rxMobileByte, rxWifiByte, txMobileByte, txWifiByte each device of the one or more network devices.

12. The system (200) as claimed in claim 7, wherein the one or more events comprise device activity, device screen on / off status, an application launch, location on / off, an airplane mode on / off, a charger connect / disconnect, Reference Signal Received Power (RSRP) threshold, coverage status, a switch between cellular and WiFi associated with each device of the one or more network devices.

13. A computer program product for identifying trends of technology -wise data consumption by one or more network devices in a communication network, the computer program product comprising computer-executable instructions that are stored on a non-transitory computer-readable medium and that, when executed by at least one processor performs operations comprising: identifying one or more events on the one or more network devices available in the communication network;acquiring, based on the one or more events, network data from the one or more network devices at an interval of a pre-defined time-period; determining a number of bytes consumed by a user of a corresponding network device of the one or more network devices, wherein the number of bytes consumed by the user is calculated in the pre-defined time-period; generating a user profile based on the determined number of bytes consumed by a corresponding user; segregating the network data into technology-wise data consumption based on the user profile; and identifying, by the processing module, a trend of technology-wise data consumption associated with the one or more network devices based on the segregated network data.

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