System and method for identifying leading WI-FI service providers based on WI-FI data consumption

Abstract

Disclosed is a method (500) for identifying leading Wi-Fi service providers in each region in a wireless communication network. The method (500) includes receiving, by a data receiving module (220) from one or more User Equipment (UEs) (104), Wi-Fi parameters associated with the one or more UEs (104). Further, the method (500) includes synchronizing, by a data synchronization module (222), the Wi-Fi parameters to a database (114). Furthermore, the method (500) includes ranking, by a ranking module (228), the Wi-Fi service providers in each region based on a cumulative sum of Wi-Fi data consumption for each Wi-Fi service provider among the Wi-Fi service providers in each region to identify the leading Wi-Fi service providers in each region.

Description

SYSTEM AND METHOD FOR IDENTIFYING LEADING WI-FI SERVICE PROVIDERS BASED ON WI-FI DATA CONSUMPTIONTECHNICAL FIELD

[0001] The embodiments of the present disclosure generally relate to the field of communication networks and systems. More particularly, the present disclosure relates to a system and a method for identifying leading Wireless Fidelity (Wi-Fi) service providers based on Wi-Fi data consumption.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 best data service provider in different regions.

[0004] In absence of a method for identifying leading data service providers in different regions, telecommunication operators are unable to identify region wise Wi-Fi operators and thus incapable of collaborating with regional players to provide good services to end users. Also, due to absence of the method of identification of ranking of the telecommunication operators in the region, the telecommunication operators struggle in planning their network expansion.

[0005] In light of the aforementioned challenges, there is a need for a solution that can address the issue of identifying leading Wi-Fi service providers in a region.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 leading Wi-Fi service providers in each region in a wireless communication network is disclosed. The method includes receiving, by a data receiving module from one or more User Equipment (UEs), Wi-Fi parameters associated with the one or more UEs. Further, the method includes synchronizing, by a data synchronization module, the Wi-Fi parameters to a database. Furthermore, the method includes ranking, by a ranking module, the Wi-Fi service providers in each region based on a cumulative sum of Wi-Fi data consumption for each Wi-Fi service provider among the Wi-Fi service providers in each region to identify the leading Wi-Fi service providers in each region.

[0008] According to some aspect of the present disclosure, the method further includes tagging, by a tagging module, the Wi-Fi parameters using a device ID of the one or more UEs. Further, the method includes calculating, by a data calculation module based on the tagged Wi-Fi parameters associated with one or more UEs, the Wi-Fi data consumption for each Wi-Fi service provider among the Wi-Fi service providers in each region in the wireless communication network. Furthermore, the method includes obtaining, by the data calculation module, the cumulative sum of the Wi-Fi data consumption for each Wi-Fi service provider in each region.

[0009] According to some aspect of the present disclosure, the method further includes generating, by a report generation module, a report indicating the Wi-Fi data consumption for each Wi-Fi service provider in each region and the ranking of the Wi-Fi service providers in each region.

[0010] According to some aspect of the present disclosure, the method further includes displaying, by a display module, the report on an output interface.

[0011] According to some aspect of the present disclosure, the Wi-Fi parameters include a name of Wi-Fi service provider, a volume of transmit Wi-Fi data, and a volume of received Wi-Fi data.

[0012] According to some aspect of the present disclosure, the Wi-Fi parameters are captured at the one or more UEs based on one or more user events in the one or more UEs. Further, the one or more user events includes UE screen ON / Off, launch of an application, Global Positioning System (GPS) sensor ON / Off, airplane mode Off, Reference Signal Received Power (RSRP) threshold, loss of coverage, cellular to Wi-Fi switch, Wi-Fi to cellular switch, device activity on / off, and charger connect / disconnect.

[0013] According to some aspect of the present disclosure, the Wi-Fi parameters associated with the one or more UEs are captured at the one or more UEs using a software development kit (SDK) integrated into an application installed on each of the one or more UEs in the wireless communication network.

[0014] In another embodiment, a system for identifying leading Wi-Fi service providers in each region in a wireless communication network is disclosed. The system includes a data receiving module configured to receive, from one or more User Equipment (UEs), Wi-Fi parameters associated with the one or more UEs. The system further includes a data synchronization module configured to synchronize the Wi-Fi parameters to a database. Further, the system includes a ranking module configured to rank the Wi-Fi service providers in each region based on a cumulative sum of Wi-Fi data consumption for each Wi-Fi service provider among the Wi-Fi service providers in each region to identify the leading Wi-Fi service providers in each region.BRIEF DESCRIPTION OF DRAWINGS

[0015] 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.

[0016] FIG. 1 illustrates a diagram depicting an environment of a wireless communication network, in accordance with an embodiment of the present invention.

[0017] FIG. 2 illustrates a block diagram of a system for identifying leading Wi-Fi service providers in each region in the wireless communication network, in accordance with an embodiment of the present invention.

[0018] FIG. 3 illustrates a flow diagram depicting data capturing events, in accordance with an embodiment of the present disclosure.

[0019] FIG. 4 illustrates a flow diagram depicting flow of data in the system, in accordance with an embodiment of the present disclosure.

[0020] FIG. 5 illustrates a flow diagram of a method for identifying the leading Wi-Fi service providers in each region in the wireless communication network, in accordance with an embodiment of the present disclosure.

[0021] FIG. 6 illustrates a schematic block diagram of a computing system for identifying the leading Wi-Fi service providers in each region in the wireless 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] An object of the present disclosure is to provide a system and a method for identifying leading Wi-Fi service providers based on Wi-Fi data consumption to enable the telecommunication operators to improve data services for end users in a particular region.

[0031] The term “Wi-Fi service providers” in the entire disclosure may represent the entities that offers wireless internet services to the end users through Wireless Fidelity (Wi-Fi) technology.

[0032] The term “Wi-Fi parameters” in the entire disclosure may represent set of attributes related to Wi-Fi service provider, connection performance of the Wi-Fi, and Wi-Fi data consumption at an end user device. For example, the Wi-Fi parameters may include a name of Wi-Fi service provider, a volume of transmit WiFi data, and a volume of received Wi-Fi data.

[0033] Embodiments of the present disclosure will be described below in detail with reference to the accompanying drawings. FIG. 1 to FIG. 6, 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.

[0034] FIG. 1 illustrates a diagram depicting an environment of a wireless communication network 100, in accordance with an embodiment of the present invention. The embodiment of the wireless communication network 100 shown inFIG. 1 is for illustration only. Other embodiments of the wireless communication network 100 may be used without departing from the scope of this disclosure.

[0035] The wireless communication network 100 may include various components such as one or more Base Stations (BSs) 102, one or more User Equipment (UEs) 104, one or more wireless routers 106, a network 108, an application server 110, processing modules 112, and a database 114.

[0036] The one or more BSs 102 serves the one or more UEs 104 in a coverage region via the network 108. Each base station among the one or more BSs 102 may have same or similar configuration and may also be referred to as “BS 102”. It is to be noted that the “base station” may also be referred to as “cell”, “gNB”, or “node” interchangeably throughout this disclosure without departing from the scope of the invention. Further, the “base station” may also be referred to as “access point (AP)”, “evolved NodeB (eNodeB) (eNB)”, “5G node (5th generation node)”, “wireless point”, “transmission / reception point (TRP)”, “Radio Access Network (RAN)” or other terms having equivalent technical meanings.

[0037] Each user equipment among the one or more UEs 104 may have same or similar configuration and may also be referred to as “UE 104”. Typically, the term “user equipment” can refer to any component such as “mobile station”, “subscriber station”, “remote terminal”, “wireless terminal”, “receive point”, “end user device”, or the like.

[0038] The one or more wireless routers 106 connect the one or more UEs 104 with a Wi-Fi network. Each wireless router among the one or more wireless routers 106 may have same or similar configuration and may also be referred to as “wireless router 106”. A wireless router 106 provides the internet access to the UE 104 from one or more Wi-Fi service providers (hereinafter may be referred to as “Wi-Fi service providers”). The UE 104 may be connected to the Wi-Fi service providers to access their internet service via the wireless router 106. The wireless router wireless router 106 may forward data consumption bytes from the UE 104 to the application server 110 and may send data from the application server 110 to the UE104. The term “wireless router” may also be referred to as “Access Point (AP)” or “Wi-Fi access point (AP)” interchangeably throughout this disclosure without departing from the scope of the invention.

[0039] Further, the network 108 may include a proprietary Internet Protocol (IP) network, Internet, or other data network. In some embodiments, the at least one BS may communicate with each other and with the at least one UE 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 network 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 wireless communication network 100.

[0040] The UE 104 may communicate with the application server 110 using an application (may also be referred as “client application”). The application server 110 is configured to identify leading Wi-Fi service providers in each region in the wireless communication network 100. The UE 104 may communicate with the application server 110 and with various other entities of the wireless communication network 100 (such as a base station, a core network, and in an external user device) via the network 108 using a communication technique, such as 2nd Generation (2G) communication technology, 3rd Generation (3G) communication technology, Long Term Evolution (LTE), 4th Generation (4G) LTE, 5th Generation (5G) / New Radio (NR), Long Term Evolution Advanced (LTE-A), Worldwide Interoperability for Microwave Access (WiMAX), Wireless Fidelity (Wi-Fi), or other wireless communication techniques with multiple bands and carriers of telecom operators. The UE 104 may include smartphones, tablets, laptops, or desktop computers.

[0041] The application server 110 (also referred to as “server 110”) may be a physical machine, a virtual machine in a cloud environment a network ofcomputers, a software framework, or a combination thereof, that may provide a generalized approach to create a server implementation. Examples of the application server 110 may include, but are not limited to, personal computers, laptops, mini -computers, mainframe computers, any non-transient and tangible machine that can execute a machine-readable code, cloud-based servers, distributed server networks, or a network of computer systems. The application server 110 may be realized through various web-based technologies such as, but not limited to, a Java web-framework, a .NET framework, a personal home page (PHP) framework, or any web-application framework.

[0042] The processing modules 112 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.

[0043] The database 114 may store data received from network components of the wireless communication network 100. For example, the database 114 may store the data comprising Wi-Fi parameters collected from the UE 104.

[0044] FIG. 2 illustrates a block diagram of a system 200 for identifying leading Wi-Fi service providers in each region in the wireless communication network 100, in accordance with an embodiment of the present invention. 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.

[0045] The system includes the one or more UE 104 and the application server 110. As each UE among the one or more UEs 104 have a similar configuration, the FIG.2 depicts only one UE 104 for ease of illustration. The UE 104 may include components for bi-directional voice and data communications includingcomponents for transmitting and receiving communications, a processor 202, a memory 204, a communication unit 206, and an application 208.

[0046] The processor 202 may include one or more processors or other processing devices that control the overall operation of the UE 104. The processor 202 is configured to execute programs and other processes stored in the memory 204. The processor 202 is also configured to store data into the memory 204 or fetch data out of the memory 204 as required by an executing process.

[0047] The processor 202 may capture, using a software development kit (SDK) integrated into the application 208 installed on the UE 104 in the wireless communication network, Wi-Fi parameters associated with the UE 104 based on an occurrence of one or more user events in the UE 104. For instance, the processor 202 may capture the Wi-Fi parameters associated with each UE among the one or more UEs 104 based on the occurrence of the one or more user events in the one or more UEs 104. The processor may further synchronize the Wi-Fi parameters to the application server 110.

[0048] The Wi-Fi parameters include a name of Wi-Fi service provider among the Wi-Fi service providers, a volume of transmit Wi-Fi data, and a volume of received Wi-Fi data. Further, the one or more user events includes UE screen ON / Off, launch of the application, Global Positioning System (GPS) sensor ON / Off, airplane mode OFF, Reference Signal Received Power (RSRP) threshold, loss of coverage, cellular to Wi-Fi switch, Wi-Fi to cellular switch, device activity on / off, and charger connect / disconnect.

[0049] The memory 204 is coupled to the processor 202. A part of the memory 204 may include a RAM, and another part of the memory 204 may include a Flash memory or other ROM. The memory 204 stores the data associated with the UE 104 and the data captured by the application running on the UE 104.

[0050] The communication unit 206 may be configured to enable the UE 104 to communicate with various entities of the wireless communication network 100(such as BSs, a core network, and the application server 110, and in some scenarios external user device) via the network 108. Examples of the communication unit 206 may include, but are not limited to, a network interface such as an Ethernet card, a communication port, and / or a Personal Computer Memory Card International Association (PCMCIA) slot and card, an antenna, a radio frequency (RF) transceiver, one or more amplifiers, a tuner, one or more oscillators, a digital signal processor, a coder-decoder (CODEC) chipset, a subscriber identity module (SIM) card, and a local buffer circuit. It will be apparent to a person of ordinary skill in the art that the communication unit 206 may include any device and / or apparatus capable of providing wireless or wired communications between the UE 104 and various other entities of the wireless communication network 100.

[0051] The application 208 may corresponds to any application installed on the UE 104 in the wireless communication network. The SDK may be integrated into the application 208 to automatically collect the Wi-Fi parameters associated with the UE 104. The SDK uses a monitoring framework that captures the data, such as the Wi-Fi parameters, on predefined user events. The predefined user events may include the UE screen ON / Off, the launch of the application, RSRP threshold violations, a detection of the loss of coverage, cellular to Wi-Fi switch, Wi-Fi to cellular switch, or any other predefined user event. The captured data may be transferred to the application server 110 at predefined intervals. The SDK may include an application interface (API) that facilitates communication and data sharing between the UE 104 and the application server 110.

[0052] The application server 110 includes a processor 210, a memory 212, a streaming platform 214, a communication unit 216, an Input / Output (I / O) interface 218, the database 114, and the processing modules 112. Components of the application server 110 are coupled to each other via a communication bus 234.

[0053] The processor 210 may correspond to one or more general purpose processors and / or one or more special purpose processors such as digital signal processors, Field Programmable Gate Array (FPGA) processor, a microprocessor,a digital signal processor, an application specific integrated circuit, a microcontroller, a state machine, or ay any type of programmable logic array, that controls the overall operation of the application server 110. The processor 210 includes the processing modules 112 for processing and execution of a plurality of tasks for efficient parallel processing of the data received from the UE 104. The processing modules 112 are also configured to move data into or out of the memory 212 as required by an execution process.

[0054] The memory 212 stores the set of instructions required by the processor 210 of the application server 110 for controlling its overall operations. The memory 212 may include non-volatile storage elements. Examples of such non-volatile storage elements may include magnetic hard discs, optical discs, floppy discs, flash memories, or forms of electrically programmable memories (EPROM) or electrically erasable and programmable (EEPROM) memories. In addition, the memory 212 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 212 is non-movable. In some examples, the memory 212 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 212 may be an internal storage unit or an external storage unit of the application server 110, cloud storage, or any other type of external storage. In certain examples, the memory 212 configured as the non-transitory storage medium may include hard drives, solid- state drives, flash drives, Compact Disk (CD), Digital Video Disk (DVD), and the like. Further, the memory 212 may include any type of non-transitory storage medium, without deviating from the scope of the present disclosure.

[0055] More specifically, the memory 212 may store computer-readable instructions that, when executed by a processor (e.g., the processor 210) cause the application server 110 to perform various functions described herein. In some cases, the memory 212 may contain, among other things, a BIOS which may control basichardware or software operation such as the interaction with peripheral components or devices.

[0056] The communication unit 216 may be configured to enable the application server 110 to communicate with various entities of the wireless communication network 100 via the network 108. Examples of the communication unit 216 may include, but are not limited to, a network interface such as an Ethernet card, a communication port, and / or a Personal Computer Memory Card International Association (PCMCIA) slot and card, an antenna, a radio frequency (RF) transceiver, one or more amplifiers, a tuner, one or more oscillators, a digital signal processor, a coder-decoder (CODEC) chipset, a subscriber identity module (SIM) card, and a local buffer circuit.

[0057] The VO interface 218 may include suitable logic, circuitry, interfaces, and / or codes that may be configured to receive input(s) and present (or display) output(s) on the application server 110. For example, the I / O interface may have an input interface and an output interface. The input interface may be configured to enable a user to provide input(s) to trigger (or configure) the application server 110 to perform various operations for identifying the leading Wi-Fi service providers in each region in the wireless communication network 100, such as but not limited to, configuring the application server 110 to receive the Wi-Fi parameters associated with the one or more UEs 104. Examples of the input interface may include, but are not limited to, a touch interface, a mouse, a keyboard, a motion recognition unit, a gesture recognition unit, a voice recognition unit, or the like. Aspects of the present disclosure are intended to include or otherwise cover any type of the input interface including known, related art, and / or later developed technologies without deviating from the scope of the present disclosure. The output interface is configured to display the generated report to the end users at the network operator side. Examples of the output interface of the I / O interface 218 may include, but are not limited to, a digital display, an analog display, a touch screen display, an appearance of a desktop, and / or illuminated characters.

[0058] The streaming platform 214 may receive and process input in the real time. For example, the streaming platform 214 may periodically receive the Wi-Fi parameters from the one or more UEs 104. The streaming platform 214 may also store the received Wi-Fi parameters in its database in an unstructured format. Further, the streaming platform 214 may send the Wi-Fi parameters to the database 114 of the server for storage. The streaming platform 214 handles and manages incoming stream of the input and thus ensure low-latency data processing and seamless integration with downstream components.

[0059] The database 114 is managed by the processor 210 and configured to store input data (for example, Wi-Fi parameters) received from the one or more UEs 104 via the streaming platform 214. The database 114 may be a distributed file system database which stores data in structured manner. Further, the database 114 may also store one or more reports indicating Wi-Fi data consumption for multiple Wi-Fi service providers in each region in the wireless communication network 100.

[0060] The processing module(s) 112 may be implemented as a combination of hardware and programming (for example, programmable instructions) to implement one or more functionalities of the application server 110. In non-limiting examples, described herein, such combinations of hardware and programming may be implemented in several different ways. For example, the programming for the processing modules(s) 112 may be processor-executable instructions stored on a non-transitory machine-readable storage medium and the hardware for the processor 210 may comprise a processing resource (for example, one or more processors), to execute such instructions. In the present examples, the machine- readable storage medium may store instructions that, when executed by the processing resource, implement the processing module(s) 112. In such examples, the application server 110 may also comprise the machine-readable storage medium storing the instructions and the processing resource to execute the instructions, or the machine-readable storage medium may be separate but accessible to the application server 110 and the processing resource. In other examples, the processing module(s) 112 may be implemented using an electronic circuitry.

[0061] In one or more embodiments, the processing modules 112 may include a data receiving module 220, a data synchronization module 222, a tagging module 224, a data calculation module 226, a ranking module 228, a report generation module 230, and a display module 232.

[0062] The data receiving module 220 may receive the Wi-Fi parameters from the one or more UEs 104. The Wi-Fi parameters are associated with the one or more UEs 104 and captured at the one or more UEs 104 based on the occurrence of the one or more user events in the one or more UEs 104. In a non-limiting example, the Wi-Fi parameters associated with the one or more UEs 104 are captured at the one or more UEs 104 using the SDK integrated into the application 208 installed on each of the one or more UEs 104 in the wireless communication network 100. In a non-limiting example, the Wi-Fi parameters may include the name of Wi-Fi service provider, the volume of transmit Wi-Fi data, and the volume of received Wi-Fi data. Further, in a non-limiting example, the one or more user events may include the UE screen ON / Off, launch of the application, the GPS sensor ON / Off, the airplane mode Off, RSRP threshold, the loss of coverage, cellular to Wi-Fi switch, Wi-Fi to cellular switch, device activity on / off, charger connect / disconnect, or any other user defined event.

[0063] In one or more embodiment, the data receiving module 220 may receive the Wi-Fi parameters in an encrypted format. Further, the data receiving module 220 may receive location information of the one or more UEs 104. The streaming platform 214 may decrypt data and store the decrypt data into the database of the streaming platform 214 in the unstructured format.

[0064] Further, the data synchronization module 222 may synchronize the Wi-Fi parameters to the database 114. The data synchronization module 222 may synchronize the Wi-Fi parameters using the streaming platform 214. For instance, the data synchronization module 222 may control the streaming platform 214 to synchronize the Wi-Fi parameters with the database 114 in every N minute interval. In a non-limiting example, the data synchronization module 222 may control thestreaming platform 214 to synchronize the Wi-Fi parameters with the database 114 on launch of the application 208 and during usage of the application 208 in the real time.

[0065] Further, the tagging module 224 may tag the Wi-Fi parameters using a device ID of the one or more UEs 104. The device ID for the one or more UEs 104 may be stored in the database 114 of the application server 110.

[0066] In one or more other embodiments, the tagging of the Wi-Fi parameters with the device ID may be performed at the one or more UEs 104. In this scenario, the data receiving module 220 receives the tagged Wi-Fi parameters from the one or more UEs 104.

[0067] In one or more embodiment, the data calculation module 226 may calculate Wi-Fi data consumption for each Wi-Fi service provider among the Wi-Fi service providers in each region in the wireless communication network 100. For instance, the data calculation module 226 calculates the Wi-Fi data consumption for each WiFi service provider based on the Wi-Fi parameters received from the one or more UEs 104. Further, the data calculation module 226 may obtain a cumulative sum of the Wi-Fi data consumption for each Wi-Fi service provider in each region in the wireless communication network 100.

[0068] Further, the ranking module 228 may rank the Wi-Fi service providers in each region based on the cumulative sum of the Wi-Fi data consumption for each Wi-Fi service provider among the Wi-Fi service providers in each region. The ranking module 228 may further identify the leading Wi-Fi service providers in each region based on the ranking.

[0069] The report generation module 230 may generate a report indicating the WiFi data consumption for each Wi-Fi service provider in each region and the ranking of the Wi-Fi service providers in each region.

[0070] Further, the display module 232 may display the report on an output interface of the application server 110. The display module 232 may display the report in a tabular format.

[0071] An exemplary report generated by the report generation module 230 is shown below.Table 1

[0072] The Table 1 shows, Wi-Fi data consumption, a cumulative sum of the WiFi data consumption, and ranking for each Wi-Fi service provider (operator 1 and 2) in each region.

[0073] FIG. 3 illustrates a flow diagram 300 depicting data capturing events, in accordance with an embodiment of the present disclosure. As illustrated in FIG. 3, the application 208 may capture data comprising the Wi-Fi parameters at block 304 based on one or more events 302-1, 302-2, 302-3, 302-4, and 302-5 associated with the UE 104.

[0074] The application 208 developed using the SDK may be installed in each UE among the one or more UEs 104 to monitor the data comprising the Wi-Fi parameters associated with each UE. The application 208 may be any third-party application integrated in each UE among the one or more UEs 104. The application 208 may capture the data from the one or more UEs 104. The data may comprise at least the Wi-Fi parameters associated with the one or more UEs 104 and the location information (geography) of the one or more UEs 104. The Wi-Fi parameters include the device ID associated with the one or more UEs 104, the Wi-Fi data consumption of the UE, and name of Wi-Fi service provider. The Wi-Fi data consumption may include the volume of transmit Wi-Fi data and the volume of received Wi-Fi data.

[0075] Further, the one or more events may include one of the UE screen ON / Off 302-1, the launch 302-4 of the application 208, GPS sensor ON / Off 302-2, airplane mode Off 302-3, and other events 302-5. The other events 302-5 may include the RSRP threshold, the loss of coverage, cellular to Wi-Fi switch, Wi-Fi to cellular switch, device activity on / off, charger connect / disconnect, or any other predefined event.

[0076] At block 306, the captured data is stored in the UE 104. For example, the data may be stored locally at the memory 204 of the UE 104. The data is stored at the memory 204 in an encrypted format. The data is passively stored in the memory 204 based on detection of the one or more events.

[0077] At block 308, the captured data may be synchronized with the database 114 of the application server 110 in real-time. The processor 202 of the UE may synchronize the data with the database 114 each time a user associated with the UE 104 launches the application 208. In one or more embodiment, the processor 202 may periodically synchronize the data with the database 114 at a predefined time period.

[0078] FIG. 4 illustrates a flow diagram 400 depicting flow of the data in the system 200, in accordance with an embodiment of the present disclosure. The flowdiagram 400 comprises a series of operation steps indicated by blocks 402 through 412.

[0079] At block 402, the data comprising the Wi-Fi parameters may be captured via the application 208 based on capturing of the one or more events and the captured data may be stored in the UE 104 on a predefined number of days (for example, T days).

[0080] At block 404, at T+l day, when the user associated with the UE 104 launches the application 208, the data gets synchronized to the application server 110. If the data is not captured on the launch of the application 208, the data may be fetched on the next launch or detection of next event, at block 406. Data in the application server 110 gets synchronized in the encrypted format.

[0081] At block 408, the application server 110 process and decrypt the data in backend in the batch process which takes place after every N mins interval (For example, at every 2 mins).

[0082] At block 410, the processed data is transmitted to the streaming platform 214 which stores the data in the unstructured format.

[0083] Further, at block 412, the data may be transmitted to the database 114. The database 114 may be the distributed file system database which stores data in the structured manner.

[0084] Further, the processor 210 of the application server 110 may process the data stored in the database 114 to identify the leading Wi-Fi service providers in the wireless communication network 100.

[0085] FIG. 5 illustrates a flow diagram of a method 500 for identifying the leading Wi-Fi service providers in each region in the wireless communication network 100, in accordance with an embodiment of the present disclosure. The method 500 comprises a series of operation steps indicated by blocks 502 through 514. The method 500 starts at block 502.

[0086] At block 502, the processor 210, using the data receiving module 220, may receive the Wi-Fi parameters from the one or more UEs 104. The Wi-Fi parameters are associated with the one or more UEs and are captured at the one or more UEs 104 based on the occurrence of the one or more user events in the one or more UEs 104.

[0087] At block 504, the processor 210, using the data synchronization module 222, may synchronize the Wi-Fi parameters to the database 114. For instance, the processor 210, using the data synchronization module 222, may synchronize the Wi-Fi parameters with the database 114 in every N minute interval via streaming platform 214.

[0088] At block 506, the processor 210, using the tagging module 224, may tag the Wi-Fi parameters using the device ID of the one or more UEs 104. The device ID for the one or more UEs 104 may be stored in the database 114 of the application server 110.

[0089] At block 508, the processor 210, using the data calculation module 226, may calculate the Wi-Fi data consumption for each Wi-Fi service provider among the Wi-Fi service providers in each region in the wireless communication network 100. For instance, the processor 210, using the data calculation module 226, may calculate the Wi-Fi data consumption for each Wi-Fi service provider based on the Wi-Fi parameters received from the one or more UEs 104.

[0090] At block 510, the processor 210, using the data calculation module 226, may further obtain the cumulative sum of the Wi-Fi data consumption for each WiFi service provider in each region.

[0091] At block 512, the processor 210, using the ranking module 228, may rank the Wi-Fi service providers in each region based on the cumulative sum of Wi-Fi data consumption for each Wi-Fi service provider among the Wi-Fi service providers in each region to identify the leading Wi-Fi service providers in each region.

[0092] At block 514, the processor 210, using the report generation module 230, may generate the report indicating the Wi-Fi data consumption for each Wi-Fi service provider in each region and the ranking of the Wi-Fi service providers in each region.

[0093] FIG. 6 illustrates a schematic block diagram of a computing system 600 for identifying the leading Wi-Fi service providers in each region in the wireless communication network 100, in accordance with an embodiment of the present disclosure.

[0094] The computing system 600 includes a network 602, a network interface 604, a processor 606 (similar in functionality to the processor 210 of FIG. 2), an Input / Output (VO) interface 608 (similar in functionality to the I / O interface 218 of FIG. 2), and a non -transitory computer readable storage medium 610 (hereinafter may also be referred to as the “storage medium 610” or the “storage media 610”). The network interface 604 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-864 (IEEE-864).

[0095] The processor 606 may include various processing circuitry / modules and communicate with the storage medium 610 and the I / O interface 608. The processor 606 is configured to execute instructions stored in the storage medium 610 and to perform various processes. The processor 606 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 606 may be configured to execute computer-readable instructions 610-1 stored in the storage medium 610 to cause the system 200 to perform various functions disclosed throughput the disclosure.

[0096] The storage medium 610 stores a set of instructions i.e., computer program instructions 610-1 (hereinafter may also be referred to as instructions 610-1) required by the processor 606 for controlling its overall operations. The storage media 610 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 610 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 610 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 610 stores computer program code configured to cause the computing system 600 to perform at least a portion of the processes and / or methods disclosed herein throughput the disclosure.

[0097] 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.

[0098] 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 memory 212 or the storage medium 610) that can direct a computer processor or other programmable processing apparatus to function in a particular manner, such that the instructions 610-1 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).

[0099] 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 processor 210 or the processor 606) to perform one or more functions as described herein. The instructions 610-1 may also be stored remotely such as on a server, or all or a portion of the instructions can be stored locally and remotely.

[0100] Now, referring to the technical abilities and advantageous effect of the present disclosure, operational advantages that may be provided by embodiments disclosed herein may include identifying leading Wi-Fi service providers in a region, thus enabling telecommunication operators to expand their coverage in a region where less operators are available. Another potential advantage of the embodiments disclosed herein includes, but not limited to, identifying strong regional players, so that if collaboration in near future required, can be possible to give better service to the end user. Further, the disclosed method may provide a solution to troubleshoot end users’ internet connectivity issue in the real time.

[0101] 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.

[0102] The drawings and the forgoing description give examples of embodiments.Those skilled in the art will appreciate that one or more of the described elementsmay 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.

[0103] 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

[0104] 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 near some, 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 - Wireless communication network102 - One or more cells / BSs104 - One or more User Equipment (UEs)106 - One or more wireless routers108 - Network110 - Application server112 - Processing modules114 - Database200 - System for identifying leading Wi-Fi service providers202 - Processor of a UE204 - Memory of the UE206 - Communication Unit of the UE208 - Application210 - Processor of the application server 110212 - Memory of the application server 110214 - Streaming platform216 - Communication Unit of the application server 110218 - Input-Output (EO) interface220 - Data receiving module222 - Data synchronization module224 - Tagging module226 - Data calculation module228 - Ranking module230 - Report generation module232 - Display module234 - Communication bus300 - Flow diagram of data capturing events302-308 -One or more data capturing events400 - Flow diagram 400 depicting flow of the data in the system 200402-412 - Operation steps depicting flow of the data500 - Method for identifying the leading Wi-Fi service providers502-514 - Operation steps for the method 500600 - Block diagram of a computing system602 - Network604 - Network interface606 - ProcessorT1 - Input / Output (I / O) interface - Non-transitory computer readable storage medium-1 - Set of instructions

Claims

We Claim:

1. A method (500) for identifying leading Wi-Fi service providers in each region in a wireless communication network (100), the method (500) comprising: receiving (502), by a data receiving module (220) from one or more User Equipment (UEs) (104), Wi-Fi parameters associated with the one or more UEs (104); synchronizing (504), by a data synchronization module (222), the Wi-Fi parameters to a database (114); and ranking (512), by a ranking module (228), the Wi-Fi service providers in each region based on a cumulative sum of Wi-Fi data consumption for each Wi-Fi service provider among the Wi-Fi service providers in each region to identify the leading Wi-Fi service providers in each region.

2. The method (500) as claimed in claim 1, further comprising: tagging (506), by a tagging module (224), the Wi-Fi parameters using a device ID of the one or more UEs (104); calculating (508), by a data calculation module (226) based on the tagged Wi-Fi parameters associated with one or more UEs (104), the Wi-Fi data consumption for each Wi-Fi service provider among the Wi-Fi service providers in each region in the wireless communication network (100); and obtaining (510), by the data calculation module (226), the cumulative sum of the Wi-Fi data consumption for each Wi-Fi service provider in each region.

3. The method (500) as claimed in claim 1, further comprising generating (514), by a report generation module (230), a report indicating the Wi-Fi data consumption for each Wi-Fi service provider in each region and ranking of the WiFi service providers in each region.

4. The method (500) as claimed in claim 3, further comprising displaying, by a display module (232), the report on an output interface.

5. The method (500) as claimed in claim 1, wherein the Wi-Fi parameters include a name of Wi-Fi service provider, a volume of transmit Wi-Fi data, and a volume of received Wi-Fi data.

6. The method (500) as claimed in claim 1, wherein the Wi-Fi parameters are captured at the one or more UEs (104) based on one or more user events in the one or more UEs (104), and the one or more user events includes UE screen ON / Off, launch of an application (208), Global Positioning System (GPS) sensor ON / Off, airplane mode OFF, Reference Signal Received Power (RSRP) threshold, loss of coverage, cellular to Wi-Fi switch, Wi-Fi to cellular switch, device activity on / off, and charger connect / disconnect.

7. The method (500) as claimed in claim 1, wherein the Wi-Fi parameters associated with the one or more UEs (104) are captured at the one or more UEs (104) using a software development kit (SDK) integrated into an application (208) installed on each of the one or more UEs (104) in the wireless communication network (100).

8. A system (200) for identifying leading Wi-Fi service providers in each region in a wireless communication network (100), the system (200) comprising: a data receiving module (220) configured to receive, from one or more User Equipment (UEs) (104), Wi-Fi parameters associated with the one or more UEs (104); a data synchronization module (222) configured to synchronize the Wi-Fi parameters to a database (114); and a ranking module (228) configured to rank the Wi-Fi service providers in each region based on a cumulative sum of Wi-Fi data consumption for each Wi-Fi service provider among the Wi-Fi service providers in each region to identify the leading Wi-Fi service providers in each region.

9. The system (200) as claimed in claim 8, further comprising: a tagging module (224) configured to tag the Wi-Fi parameters using a device ID of the one or more UEs (104); and a data calculation module (226) configured to: calculate, based on the tagged Wi-Fi parameters associated with one or more UEs (104), the Wi-Fi data consumption for each Wi-Fi service provider among the Wi-Fi service providers in each region in the wireless communication network (100); and obtain the cumulative sum of the Wi-Fi data consumption for each Wi-Fi service provider in each region.

10. The system (200) as claimed in claim 8, further comprising a report generation module (230) configured to generate a report indicating the Wi-Fi data consumption for each Wi-Fi service provider in each region and ranking of the WiFi service providers in each region.

11. The system (200) as claimed in claim 10, further comprising a display module (232) configured to display the report on an output interface.

12. The system (200) as claimed in claim 8, wherein the Wi-Fi parameters include a name of Wi-Fi service provider, a volume of transmit Wi-Fi data, and a volume of received Wi-Fi data.

13. The system (200) as claimed in claim 8, wherein the Wi-Fi parameters are captured at the one or more UEs (104) based on one or more user events in the one or more UEs (104), and the one or more user events includes UE screen ON / Off, launch of an application (208), Global Positioning System (GPS) sensor ON / Off, airplane mode OFF, Reference Signal Received Power (RSRP) threshold, loss of coverage, cellular to Wi-Fi switch, Wi-Fi to cellular switch, device activity on / off, and charger connect / disconnect.

14. The system (200) as claimed in claim 8, wherein the Wi-Fi parameters associated with the one or more UEs (104) are captured at the one or more UEs (104) using a software development kit (SDK) integrated into an application (208) installed on each of the one or more UEs (104) in the wireless communication network (100).

15. A 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: receiving, from one or more User Equipment (UEs) (104), Wi-Fi parameters associated with the one or more UEs (104); synchronizing the Wi-Fi parameters to a database (114); and ranking Wi-Fi service providers in each region in wireless communication network (100) based on a cumulative sum of Wi-Fi data consumption for each WiFi service provider among the Wi-Fi service providers in each region to identify leading Wi-Fi service providers in each region.

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