Method and system for monitoring performance of devices in a network

Abstract

The present disclosure provides a system 108 and a method 300 for monitoring performance of one or more devices in network 106 The method 300 includes receiving session data associated with each of plurality of sessions of one or more devices. Further, the method 300 includes segregating one or more identifiers (IDs) of each of one or more devices from the received session data. The method 300 further includes determining number of devices being served by each of plurality of cells based on one or more IDs. Further, the method 300 includes extracting a parameter value associated with each of one or more Key Performance Indicators (KPIs) of each cell of the plurality of cells. The method 300 further includes creating a performance report to generate insights into one or more KPIs based on the parameter value of each of one or more KPIs.

Description

METHOD AND SYSTEM FOR MONITORING PERFORMANCE OF DEVICES IN A NETWORK RESERVATION OF RIGHTS

[0001] A portion of the disclosure of this patent document contains material, which is subject to intellectual property rights such as, but are not limited to, copyright, design, trademark, Integrated Circuit (IC) layout design, and / or trade dress protection, belonging to Jio Platforms Limited (JPL) or its affiliates (hereinafter referred as owner). The owner has no objection to the facsimile reproduction by anyone of the patent document or the patent disclosure, as it appears in the Patent and Trademark Office patent files or records, but otherwise reserves all rights whatsoever. All rights to such intellectual property are fully reserved by the owner.TECHNICAL FIELD

[0002] The present disclosure relates to a field of telecommunications network. In particular, the present disclosure relates to a method and a system for monitoring performance of devices in a network.DEFINITION

[0003] As used in the present disclosure, the following terms are generally intended to have the meaning as set forth below, except to the extent that the context in which they are used to indicate otherwise.

[0004] The term ‘Outdoor Customer Premise Equipment (ODCPE)’ as used herein in the specification refers to a network hardware installed outside a customer's premises to provide internet connectivity, particularly in Fixed Wireless Access (FWA) scenarios. The ODCPE is designed to connect to a wireless network (like Fifth Generation network or LTE) and deliver high-speed broadband services to homes or businesses without the need for physical fiber-optic connections.

[0005] The term ‘Fixed Wireless Access (FWA)’ used herein in the specification refers to the use of wireless technology to deliver broadband internet services to homes and businesses without requiring a physical wired connection, such as fiber optic cables or traditional copper telephone lines. Instead, FWA relies on radio frequencies to transmit data from a nearby base station (or cell site) to a fixed device installed at the customer's premises, such as an antenna or router.

[0006] The term ‘International Mobile Equipment Identity (IMEI)’ used herein in the specification refers to a unique 15-digit identifier assigned to mobile devices, including those used for Fixed Wireless Access (FWA). The IMEI ID serves several purposes.

[0007] The term ‘Type Allocation Code (TAC)’ used herein in the specification refers to an 8-digit code that forms the first part of the IMEI number used to identify mobile devices uniquely. The Global System for Mobile Communications Association (GSMA) assigns the TAC code to manufacturers when they produce a new mobile device model.

[0008] The term ‘Broadband services’ used herein in the specification refers to high-speed internet access that is always on and faster than traditional dial-up access. The broadband services support a variety of applications, including web browsing, video streaming, online gaming, VoIP, and other real-time and bandwidth-intensive activities. The Broadband services may be delivered through several technologies, depending on the infrastructure available.

[0009] The term ‘Physical Resource Blocks (PRBs)’ as used herein in the specification refers to fundamental units of resource allocation in wireless communication systems, particularly in LTE (Long-Term Evolution) and 5G networks. They represent the smallest allocatable set of resources in the timefrequency domain used for transmitting data between the base station (eNodeB / gNodeB) and user equipment (UE).

[0010] The term ‘Fifth Generation (5G) network’ as used herein is designed to provide faster speeds, lower latency, and greater capacity compared to previous generations. 5G network is a significant leap in wireless communication technology, enabling a wide range of new applications and use cases.

[0011] The term ‘Air Fiber’, as used herein in the specification, refers to a type of high-speed wireless internet technology that uses radio signals to provide broadband connectivity. Unlike traditional fiber-optic connections that rely on underground or aerial fiber cables, Air Fiber delivers similar performance levels wirelessly. Air Fiber is often used in areas where laying fiber cables is impractical or cost-prohibitive.

[0012] The term ‘Traffic metric’ as used herein in the specification, refers to quantitative measurements and data that describe the performance, usage, and quality of the 5G network. The traffic metric helps network operators in monitoring and optimizing the network to ensure efficient and reliable service delivery. The traffic metric also indicates total data traffic handled by each cell of the 5G network, which further helps to identify congestion points.

[0013] The term ‘Utilization Rates’, as used herein in the specification, refers to an extent to which the available resources, such as bandwidth, spectrum, or infrastructure capacity of the 5G network, are being used. Utilization rate is typically measured as a percentage and provides insights into how efficiently the network is being used. The utilization rates measure how much of the available bandwidth is being used, allowing for better capacity planning.

[0014] The term ‘Cell’, as used herein in the specification, refers to smaller, localized areas or coverage zones that a mobile network is divided into for efficient communication. Each cell is served by a cell tower or base station, which transmits and receives data to and from mobile devices within its coverage area.

[0015] These definitions are in addition to those expressed in the art.BACKGROUND

[0016] The following description of related art is intended to provide background information pertaining to the field of the disclosure. This section may include certain aspects of the art that may be related to various features of thepresent disclosure. However, it should be appreciated that this section should be used only to enhance the understanding of the reader with respect to the present disclosure, and not as admissions of prior art.

[0017] A wireless communication network, such as Long-Term Evolution (LTE), Fifth Generation (5G) systems and Sixth Generation (6G), offers unparalleled connectivity, higher bandwidth, and ultra-low latency for diverse applications ranging from Internet of Things (loT) to autonomous vehicles. The advent of 5G networks has revolutionized telecommunications, offering a diverse spectrum of Quality of Service (QoS)-based services such as broadband internet, Fiber to the Home (FTTH), Fiber to the Curb (FTTC), real-time gaming, and mission-critical applications. The 5G network's innovative slicing methodology allows for dynamic and configurable allocation of Physical Resource Blocks (PRBs), enabling seamless delivery of differentiated services based on demand.

[0018] While 5G networks promise a broad range of high-performance services, the deployment of fixed broadband services faces significant challenges. Conventional broadband services rely heavily on the physical installation of optical fiber to homes, a process that is both cost-intensive and time-consuming. The installation often encounters hurdles such as obtaining Right of Way (RoW) permissions from government authorities, further delaying service availability. The challenges are exacerbated in regions with dense urban environments or difficult terrain, where fiber deployment becomes impractical or unfeasible.

[0019] There is, therefore, a need in the art to provide a method and a system that can mitigate the disadvantages of the prior art.OBJECTIVES OF THE PRESENT DISCLOSURE

[0020] Some of the objectives of the present disclosure, which at least one embodiment herein satisfies, are as follows:

[0021] An objective of the present disclosure is to provide a method and a system for monitoring performance of one or more devices in a network.

[0022] Another objective of the present disclosure is to provide a method and a system for utilizing surplus Physical Resource Blocks (PRBs) from mobile networks to provide broadband services without requiring physical fiber installations.

[0023] Another objective of the present disclosure is to provide a method and a system for enabling quick and cost-efficient broadband service delivery, especially in areas where laying optical fiber is difficult or time-consuming.

[0024] Another objective of the present disclosure is to provide a method and a system that automatically identifies all cells serving Fixed Wireless Access (FWA) devices and monitors their performance in real-time.

[0025] Another objective of the present disclosure is to provide a method and a system for ensuring uninterrupted service by enabling quick identification and resolution of performance issues in the network cells serving FWA devices.

[0026] Another objective of the present disclosure is to provide a method and a system for generating scheduled performance reports that include keyperformance indicators (KPIs), such as traffic metrics, utilization rates, data speeds, user metrics, and FWA device counts.

[0027] Another objective of the present disclosure is to provide a method and a system for enhancing the end-user experience by optimizing cell performance, redistributing FWA device loads, and ensuring consistent data speeds and service quality.

[0028] Other objectives and advantages of the present disclosure will be more apparent from the following description, which is not intended to limit the scope of the present disclosure.SUMMARY

[0029] In an exemplary embodiment, a method for monitoring performance of one or more devices in a network is disclosed. The method comprises receiving, by a receiving unit, session data associated with each of a plurality of sessions of each of the one or more devices. The one or more devices are connected to a plurality of cells present in the network. The method comprises segregating, by a processing unit, one or more identifiers (IDs) of each of the one or more devices from the received session data. The method comprises determining, by a determining unit, a number of devices being served by each of the plurality of cells based on the one or more IDs and based on the determination, generating, by the processing unit, at least one list of cells serving the one or more devices. The method comprises extracting, by an extraction unit, a value associated with each of one or more key performance indicators (KPIs) of each cell from the at least one generated list of cells and creating, by a creation unit, a performance report based on the parameter value of each of one or more KPIs.

[0030] In an aspect, the one or more IDs comprise at least one of an international mobile equipment identity (IMEI) and a type allocation code (TAC).

[0031] In an aspect, the one or more KPIs comprise a traffic metric, signal quality, channel quality, latency, throughput, capacity, utilization rates, data speeds, user metrics, and a device count.

[0032] In an aspect, the performance report is created to generate insights into one or more KPIs. The generated insights comprise the traffic metric, the utilization rates, the data speeds, an average number of users served by each of the plurality of cells, and the number of devices being served by each of the plurality of cells.

[0033] In an aspect, the performance report is generated at a predefined time or in response to a request for generating the performance report. The generated performance report is sent to a user using at least one notification service.

[0034] In an aspect, the one or more devices are fixed wireless access (FWA) service devices. The FWA service devices are outdoor customer premises equipment (ODCPE) devices.

[0035] In an aspect, the one or more operations are performed in real time based on the generated performance report. The one or more operations compriseresource management, cell upgradation, cell degradation, traffic steering, load balancing, and configuration management.

[0036] In another exemplary embodiment, a system for monitoring performance of one or more devices in a network is disclosed. The system comprises a receiving unit configured to receive session data associated with each of a plurality of sessions of each of the one or more devices. The one or more devices are connected to a plurality of cells present in the network. A processing unit is configured to segregate one or more identifiers (IDs) of each of the one or more devices from the received session data. A determining unit is configured to determine a number of devices being served by each of the plurality of cells based on the one or more IDs. Based on the determination, the processing unit is configured to generate at least one list of cells serving the one or more devices. An extraction unit is configured to extract a value associated with each of one or more key performance indicators (KPIs) of each cell from the at least one generated list of cells. A creation unit is configured to create a performance report based on the parameter value of each of one or more KPIs.

[0037] In yet another exemplary embodiment, a computer program product comprising a non-transitory computer-readable medium comprising instructions that, when executed by one or more processors, cause the one or more processors to execute a method for monitoring performance of one or more devices in a network is disclosed. The method comprises receiving, by a receiving unit, session data associated with each of a plurality of sessions of each of the one or more devices. The one or more devices are connected to a plurality of cells present in the network. The method comprises segregating, by a processing unit, one or more identifiers (IDs) of each of the one or more devices from the received session data. The method comprises determining, by a determining unit, a number of devices being served by each of the plurality of cells based on the one or more IDs and based on the determination, generating, by the processing unit, at least one list of cells serving the one or more devices. The method comprises extracting, by an extraction unit, a value associated with each of one or more key performance indicators (KPIs) of each cell from the at least one generated list of cells and creating, by a creation unit, a performance report based on the parameter value of each of one or more KPIs.BRIEF DESCRIPTION OF THE DRAWINGS

[0038] The accompanying drawings, which are incorporated herein, and constitute a part of this disclosure, illustrate exemplary embodiments of the disclosed methods and systems in which like reference numerals refer to the same parts throughout the different drawings. Components in the drawings are not necessarily to scale, emphasis instead being placed upon clearly illustrating the principles of the present disclosure. Some drawings may indicate the components using block diagrams and may not represent the internal circuitry of each component. It will be appreciated by those skilled in the art that disclosure of suchdrawings includes the disclosure of electrical components, electronic components or circuitry commonly used to implement such components.

[0039] FIG. 1 illustrates an exemplary network architecture for monitoring performance of devices in a network, in accordance with an embodiment of the present disclosure.

[0040] FIG. 2 illustrates an exemplary block diagram of a system for monitoring performance of the devices in the network, in accordance with an embodiment of the present disclosure.

[0041] FIG. 3 illustrates an exemplary flow diagram of a method for monitoring performance of the devices in the network, in accordance with an embodiment of the present disclosure.

[0042] FIG. 4 illustrates an exemplary computer system in which or with which the embodiments of the present disclosure may be implemented.

[0043] The foregoing shall be more apparent from the following detailed description of the disclosure.LIST OF REFERENCE NUMERALS100 - Network architecture102 -User(s)104 - User Equipments (UEs)106 - Network108 - System200 - Block diagram202 - Processor(s)204 - Memory206 -Interface(s)208 - Processing engine210 - Database212 - Receiving Unit214 - Processing Unit216 - Determining Unit218 - Extraction unit220 - Creation Unit300 - Flow Diagram400 - A computer system410 - External Storage Device420 - Bus430 - Main Memory440 - Read Only Memory450 - Mass Storage Device460 - Communication Port470 - ProcessorDETAILED DESCRIPTION

[0044] 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. An individual feature may not address any of the problems discussed above or might address only some of the problems discussed above. Some of the problems discussed above might not be fully addressed by any of the features described herein. Example embodiments of the present disclosure are described below, as illustrated in various drawings in which like reference numerals refer to the same parts throughout the different drawings.

[0045] The ensuing description provides exemplary embodiments only, and is not intended to limit the scope, applicability, or configuration of the disclosure. Rather, the ensuing description of the exemplary embodiments will provide those skilled in the art with an enabling description for implementing an exemplary embodiment. It should be understood that various changes may be made in the function and arrangement of elements without departing from the spirit and scope of the disclosure as set forth.

[0046] Specific details are given in the following description to provide a thorough understanding of the embodiments. However, it will be understood by one of ordinary skill in the art that the embodiments may be practiced without these specific details. For example, circuits, systems, networks, processes, and other components may be shown as components in block diagram form in order not to obscure the embodiments in unnecessary detail. In other instances, well-known circuits, processes, algorithms, structures, and techniques may be shown without unnecessary detail in order to avoid obscuring the embodiments.

[0047] Also, it is noted that individual embodiment may be described as a process that is depicted as a flowchart, a flow diagram, a data flow diagram, a structure diagram, or a block diagram. Although a flowchart may describe the operations as a sequential process, many of the operations can be performed in parallel or concurrently. In addition, the order of the operations may be re-arranged. A process is terminated when its operations are completed but could have additional steps not included in a figure. A process may correspond to a method, a function, a procedure, a subroutine, a subprogram, etc. When a process corresponds to a function, its termination can correspond to a return of the function to the calling function or the main function.

[0048] The word “exemplary” and / or “demonstrative” is used herein to mean serving as an example, instance, or illustration. For the avoidance of doubt, the subject matter disclosed herein is not limited by such examples. In addition, any aspect or design described herein as “exemplary” and / or “demonstrative” is not necessarily to be construed as preferred or advantageous over other aspects or designs, nor is it meant to preclude equivalent exemplary structures and techniquesknown to those of ordinary skill in the art. Furthermore, to the extent that the terms “includes,” “has,” “contains,” and other similar words are used in either the detailed description or the claims, such terms are intended to be inclusive like the term “comprising” as an open transition word without precluding any additional or other elements.

[0049] Reference throughout this specification to “one embodiment” or “an embodiment” or “an instance” or “one instance” means that a particular feature, structure, or characteristic described in connection with the embodiment is included in at least one embodiment of the present disclosure. Thus, the appearances of the phrases “in one embodiment” or “in an embodiment” in various places throughout this specification are not necessarily all referring to the same embodiment. Furthermore, the particular features, structures, or characteristics may be combined in any suitable manner in one or more embodiments.

[0050] The terminology used herein is to describe particular embodiments only and is not intended to be limiting the disclosure. As used herein, the singular forms “a”, “an”, and “the” are intended to include the plural forms as well, unless the context indicates otherwise. It will be further understood that the terms “comprises” and / or “comprising,” when used in this specification, specify the presence of stated features, integers, steps, operations, elements, and / or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and / or groups thereof. As used herein, the term “and / or” includes any combinations of one or more of the associated listed items. It should be noted that the terms “mobile device”, “user equipment”, “user device”, “communication device”, “device” and similar terms are used interchangeably for the purpose of describing the invention. These terms are not intended to limit the scope of the invention or imply any specific functionality or limitations on the described embodiments. The use of these terms is solely for convenience and clarity of description. The invention is not limited to any particular type of device or equipment, and it should be understood that other equivalent terms or variations thereof may be used interchangeably without departing from the scope of the invention as defined herein.

[0051] As used herein, an “electronic device”, or “portable electronic device”, or “user device” or “communication device” or “user equipment” or “device” refers to any electrical, electronic, electromechanical, and computing device. The user device is capable of receiving and / or transmitting one or parameters, performing function / s, communicating with other user devices, and transmitting data to the other user devices. The user equipment may have a processor, a display, a memory, a battery, and an input-means such as a hard keypad and / or a soft keypad. The user equipment may be capable of operating on any radio access technology including but not limited to IP-enabled communication, Zig Bee, Bluetooth, Bluetooth Low Energy, Near Field Communication, Z-Wave, Wi-Fi, Wi-Fi direct, etc. For instance, the user equipment may include, but not limited to, a mobile phone, smartphone, virtual reality (VR) devices, augmented reality (AR)devices, laptop, a general -purpose computer, desktop, personal digital assistant, tablet computer, mainframe computer, or any other device as may be obvious to a person skilled in the art for implementation of the features of the present disclosure.

[0052] Further, the user device may also comprise a “processor” or “processing unit” includes processing unit, wherein processor refers to any logic circuitry for processing instructions. The processor may be a general -purpose processor, a special purpose processor, a conventional processor, a digital signal processor, a plurality of microprocessors, one or more microprocessors in association with a Digital Signalling Processing (DSP) core, a controller, a microcontroller, Application Specific Integrated Circuits, Field Programmable Gate Array circuits, any other type of integrated circuits, etc. The processor may perform signal coding data processing, input / output processing, and / or any other functionality that enables the working of the system according to the present disclosure. More specifically, the processor is a hardware processor.

[0053] While considerable emphasis has been placed herein on the components and component parts of the preferred embodiments, it will be appreciated that many embodiments can be made and that many changes can be made in the preferred embodiments without departing from the principles of the disclosure. These and other changes in the preferred embodiment, as well as other embodiments of the disclosure, will be apparent to those skilled in the art from the disclosure herein, whereby it is to be distinctly understood that the foregoing descriptive matter is to be interpreted merely as illustrative of the disclosure and not as a limitation.

[0054] The advent of 5G networks has transformed the telecommunications landscape, enabling a wide array of services with varying Quality of Service (QoS) requirements, including broadband internet, Fiber to the Home (FTTH), Fiber to the Curb (FTTC), real-time gaming, and mission-critical applications. Unlike previous telecom generations, 5G networks employ innovative features such as network slicing, which allows dynamic and configurable allocation of Physical Resource Blocks (PRBs). The network slicing ensures that the network resources may be tailored to meet the specific needs of different services, enhancing customer experience and optimizing resource utilization.

[0055] Conventional broadband delivery methods rely predominantly on deploying fiber-optic cables to customer premises. While fiber-optic cables have been proven effective for high-speed connectivity, they have several inherent limitations. Further, the conventional methods involve significant costs due to the infrastructure and extensive planning required. The process of physically laying optical Fibers is time-intensive, often delayed by the need for Right of Way (RoW) approvals from government authorities. Additionally, fiber deployment is impractical in regions with challenging terrain, dense urban landscapes, or regulatory hurdles. The challenges hinder the timely and cost-effective delivery of broadband services, particularly in underserved or hard-to-reach areas.

[0056] With the 5G network's ability to deliver broadband-like speed using wireless connectivity, the challenge is to utilize surplus PRBs of the mobile network to provide Fixed Wireless Access (FWA) broadband services, eliminating the dependence on fiber infrastructure while maintaining high performance. However, achieving the required robust mechanisms to monitor and manage the performance of 5G cells serving the FWA devices to ensure uninterrupted and quality service is challenging.

[0057] There is, therefore, a need for a method and a system that monitors the performance of devices in a network. The present disclosure provides an enhanced method and a system for monitoring performance of the FWA device in the network.

[0058] To address the issues, the present disclosure delivers Fixed Wireless Access (FWA) broadband services using Air Fiber, leveraging the surplus PRBs of the mobile network to bypass the limitations of traditional fiber deployment. By utilizing existing 5G infrastructure, the present disclosure provides broadband services without needing physical fiber installation, significantly reducing costs and deployment time. The present disclosure also introduces an automated mechanism to monitor and manage the performance of 5G cells serving FWA devices. The present disclosure automatically generates a comprehensive list of all such cells and provides scheduled performance reports detailing key performance indicators (KPIs).

[0059] Hereinafter, exemplary embodiments of the present disclosure will be described with reference to the accompanying drawings. The various embodiments throughout the disclosure will be explained in more detail with reference to FIG. 1- FIG. 4.

[0060] FIG. 1 illustrates an exemplary network architecture 100 for monitoring performance of devices in a network 106, in accordance with an embodiment of the present disclosure.

[0061] As illustrated in FIG. 1, the network architecture 100 may include one or more User Equipments (UEs) 104-1, 104-2... 104-N associated with one or more users 102-1, 102-2... 102-N in an environment. A person of ordinary skill in the art will understand that one or more users 102-1, 102-2... 102-N may be collectively referred to as the users 102. Similarly, a person of ordinary skill in the art will understand that one or more UEs 104-1, 104-2... 104-N may be collectively referred to as the UE 104 or the UEs 104. Although only three UE 104 are depicted in FIG. 1, however, any number of the UE 104 may be included without departing from the scope of the ongoing description.

[0062] In an embodiment, the UE 104 may include smart devices operating in a smart environment, for example, Internet of Things (loT) system. In such an embodiment, the UE 104 may include, but is not limited to, smartphones, smart watches, smart sensors (e.g., mechanical, thermal, electrical, magnetic, etc.), networked appliances, networked peripheral devices, networked lighting systems, communication devices, networked vehicle accessories, networked vehiculardevices, smart accessories, tablets, a smart television (TV), computers, a smart security system, a smart home system, Fixed Wireless Access (FWA) devices, other devices for monitoring or interacting with or for the users 102 and / or entities, or any combination thereof. In some embodiments, the FWA devices may enable highspeed internet connectivity to homes, businesses, or other fixed locations using wireless communication technologies, eliminating wired solutions like fibre-optic, DSL, or cable. A person of ordinary skill in the art will appreciate that the UE 104 may include, but not limited to, intelligent, multi-sensing, network-connected devices, that may integrate seamlessly with each other and / or with a central server or a cloud-computing system or any other device that is network-connected.

[0063] Additionally, in some embodiments, the UE 104 may include, but is not limited to, a handheld wireless communication device (e.g., a mobile phone, a smartphone, a phablet device, and so on), a wearable computer device (e.g., a headmounted display computer device, a head-mounted camera device, a wristwatch computer device, and so on), a Global Positioning System (GPS) device, a laptop computer, a tablet computer, or another type of portable computer, a media playing device, a portable gaming system, and / or any other type of computer device with wireless communication capabilities, and the like. In an embodiment, the UE 104 may include, but is not limited to, any electrical, electronic, electromechanical, or equipment, or a combination of one or more of the above devices, such as virtual reality (VR) devices, augmented reality (AR) devices, a laptop, a general-purpose computer, a desktop, a personal digital assistant, a tablet computer, a mainframe computer, or any other computing device. Further, the UE 104 may include one or more in-built or externally coupled accessories including, but not limited to, a visual aid device such as a camera, an audio aid, a microphone, a keyboard, and input devices for receiving input from the user 102 or an entity such as a touchpad, a touch-enabled screen, an electronic pen, and the like. A person of ordinary skill in the art will appreciate that the UE 104 may not be restricted to the mentioned devices and various other devices may be used.

[0064] In FIG. 1, the UE 104 may communicate with a system 108 through network 106 to send or receive various types of data. In an embodiment, the network 106 may include at least one of a 5thGeneration (5G) network, a 6thGeneration (6G) network, or the like. The network 106 may enable the UE 104 to communicate with other devices in the network architecture 100 and / or with the system 108. The network 106 may include a wireless card or some other transceiver connection to facilitate this communication. In another embodiment, the network 106 may be implemented as, or include any of a variety of different communication technologies such as a wide area network (WAN), a local area network (LAN), a wireless network, a mobile network, a Virtual Private Network (VPN), the Internet, the Public Switched Telephone Network (PSTN), or the like.

[0065] In an embodiment, the network 106 may include, by way of example but not limitation, at least a portion of one or more networks having one or more nodes that transmit, receive, forward, generate, buffer, store, route, switch, process,or a combination thereof, etc. one or more messages, packets, signals, waves, voltage or current levels, some combination thereof, or so forth. The network 106 may also include, by way of example but not limitation, one or more of, a wireless network, a wired network, an internet, an intranet, a public network, a private network, a packet-switched network, a circuit-switched network, an ad hoc network, an infrastructure network, the PSTN, a cable network, a cellular network, a satellite network, a fiber optic network, or some combination thereof.

[0066] In an embodiment, the user equipment 104 is communicatively coupled with the system 108. The system 108 receives a connection request from the UE 104. The system 108 sends an acknowledgment of the connection request to the UE 104. The UE 104 transmits a plurality of signals in response to the connection request. The system 108 is configured to monitor the performance of one or more devices in the network 106, as explained in detail in FIGs. 2-4.

[0067] In an embodiment, the system 108 may receive session data associated with each of the one or more devices. The one or more devices are connected to a plurality of cells present in the network 106. In an embodiment, the plurality of sessions connects one or more devices with the network 106 to send or receive session data from the network 106. The one or more devices may include fixed wireless access (FWA) devices and outdoor customer premise equipment (ODCPE) devices. In an aspect, fixed wireless access (FWA) devices are wireless communication devices that provide broadband internet connectivity to homes or businesses via a wireless network (e.g., 4G / 5G) rather than wired connections such as fiber or DSL. They receive cellular signals from nearby base stations and convert them into Wi-Fi or Ethernet for user devices (e.g., user equipments 104). In an aspect, the outdoor customer premises equipment (ODCPE) devices are FWA devices installed outside the customer’s premises (e.g., on rooftops or walls) to improve signal reception and link quality. These devices typically include high-gain antennas and are positioned outdoors to maintain a stable, high-speed connection with the serving cell in the network (e.g., 5G network).

[0068] The system 108 may further segregate one or more identifiers (IDs) of each of the one or more devices (e.g., FWA devices or ODCPE devices) from the received session data. In particular, an ID is a unique serial number associated with a device.

[0069] In an embodiment, the one or more IDs may include an international mobile equipment identity identifier (IMEI ID) and a type allocation code (TAC) of each of the one or more devices. In an aspect, the IMEI ID refers to a unique identifier assigned to each fixed wireless access (FWA) or outdoor customer premises equipment (ODCPE) unit, enabling the network to authenticate, track, and manage the devices. In an aspect, the TAC refers to the first eight digits of the IMEI that specify the manufacturer and model of the FWA / ODCPE device, allowing the network to recognize that the equipment is a fixed broadband device (not a handheld phone) and to apply appropriate policies, configurations, and service provisioning.

[0070] Thereafter, the system 108 may determine a number of devices being served by each of the plurality of cells in the network 106 based on the one or more IDs. The system 108 may further extract one or parameters associated with one or more Key Performance Indicators (KPIs) of the plurality of cells serving the number of devices. The parameter values may indicate the health of the plurality of cells based on the KPIs. In an embodiment, the KPIs may include traffic metric, utilization rates, data speeds, user metrics, and FWA device count.

[0071] Further, the system 108 may create a performance report to generate insights into the one or more KPIs based on the parameter values. In an embodiment, the system 108 may render the performance report to a user (not shown in Figures) via a User Interface (UI). The user may be a field engineer or worker responsible for monitoring and maintaining the network 106. The user then takes action to improve the KPIs of the plurality of cells of the network 106. In an embodiment, the system 108 may create the performance report periodically, such as once per day, once every 2 hours, etc., to effectively monitor the performance of the plurality of the cells and the one or more devices.

[0072] Although FIG. 1 shows exemplary components of the network architecture 100, in other embodiments, the network architecture 100 may include fewer components, different components, differently arranged components, or additional functional components than depicted in FIG. 1. Additionally, or alternatively, one or more components of the network architecture 100 may perform functions described as being performed by one or more other components of the network architecture 100.

[0073] FIG. 2 illustrates an exemplary block diagram 200 of the system 108 for monitoring performance of the devices in the network 106, in accordance with an embodiment of the present disclosure. FIG. 2 is described in conjunction with FIG. 1.

[0074] In an embodiment, the system 108 may include one or more processor(s) 202. The one or more processor(s) 202 may be implemented as one or more microprocessors, microcomputers, microcontrollers, digital signal processors, central processing units, logic circuitries, and / or any devices that process data based on operational instructions. Among other capabilities, the one or more processor(s) 202 may be configured to fetch and execute computer-readable instructions stored in a memory 204 of the system 108. The memory 204 may be configured to store one or more computer-readable instructions or routines in a non-transitory computer readable storage medium, which may be fetched and executed to create or share data packets over a network service. The memory 204 may include any non-transitory storage device including, for example, volatile memory such as a Random-Access Memory (RAM), or a non-volatile memory such as an Erasable Programmable Read Only Memory (EPROM), a flash memory, and the like.

[0075] In an embodiment, the system 108 may include an interface(s) 206. The interface(s) 206 may include a variety of interfaces, for example, interfaces for data input and output devices (VO), storage devices, and the like. The interface(s)206 may facilitate communication through the system 108. The interface(s) 206 may also provide a communication pathway for one or more components of the system 108. Examples of such components include, but are not limited to, a processing engine 208 and a database 210.

[0076] In an embodiment, the system 108 may include a processing engine 208 that may be implemented as a combination of hardware and programming (for example, programmable instructions) to implement one or more functionalities of the processing engine 208. In examples described herein, such combinations of hardware and programming may be implemented in several different ways. For example, the programming for the processing engine 208 may be processorexecutable instructions stored on a non-transitory machine-readable storage medium, and the hardware for the processing engine 208 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 engine 208. In such examples, the system 108 may 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 system 108 and the processing resource. In other examples, the processing engine 208 may be implemented by electronic circuitry.

[0077] In an aspect, the processing engine 208 may comprise a plurality of units. The plurality of units comprises a receiving unit 212, a processing unit 214, a determining unit 216, an extraction unit 218, and a creation unit 220.

[0078] In an aspect, the processing engine 208 is configured for monitoring the performance of at least one device of the one or more devices, such as the FWA devices and the ODCPE devices in the network 106. In an aspect, the one or more devices are fixed wireless access (FWA) service devices. The FWA service devices are outdoor customer premises equipment (ODCPE) devices.

[0079] The receiving unit 212 is configured to receive session data associated with each of a plurality of sessions of each of the one or more devices. The one or more devices are connected to a plurality of cells present in the network. The plurality of sessions acts as a communication channel between the one or more devices and the plurality of cells of the network 106, involving the exchange of data, signalling or control information.

[0080] The plurality of cells are individual coverage areas within the network 106, which are served by one or more base stations, the device may move between the plurality of cells when the performance of the cell which is connected to the one or more devices is not optimal. Further, each device may simultaneously or sequentially maintain multiple sessions (for example, data connections, management sessions, or service flows) while connected to different network cells across the coverage area. The receiving unit 212 gathers session data for every session of each device, even when the device hands over between cells or connects to multiple cells.

[0081] The processing unit 214 is configured to segregate one or more identifiers (IDs) of each of the one or more devices from the received session data. In an aspect, the session data comprises session-specific identifiers and device information for each device's sessions. The session-specific identifiers comprise the one or more IDs. The one or more IDs comprise at least one of an international mobile equipment identity (IMEI ID) and a type allocation code (TAC) of each of the one or more devices. The IMEI ID is a unique 15-digit number that identifies each device on the network 106. The TAC code is the first 8 digits of the IMEI and indicates the device manufacturer and model.

[0082] So, IMEI = TAC (8 digits) + Serial Number (6 digits) + Check Digit (1 digit). The type allocation code (TAC) is 8 digits and identifies the device model and manufacturer. The serial number (SNR) is 6 digits and uniquely identifies the specific device within that model. The check digit (CD) is 1 digit and used for validation of the IMEI using the Luhn algorithm. For example, IMEI = 35678910 1234567, so TAC = 35678910, SNR = 123456, and check digit: 7.

[0083] The determining unit 216 is configured to determine a number of devices being served by each of the plurality of cells based on the one or more IDs. In an aspect, cell level aggregation of session data is done based on the IMEI IDs to arrive at the number of outdoor customer premise equipment (ODCPE) devices being served by each cell of the network 106. In an embodiment, each device connected to the network 106 creates a session with the cell of the network 106. The session data comprises unique identifiers, including IMEI IDs, which are specific to each device. Using the IMEI ID, the processing unit groups or aggregates the devices based on the cells they are connected to. After aggregation, the determining unit calculates the total number of devices (e.g., ODCPE devices) for each cell. For example, suppose Cell A has session data showing five active sessions with IMEI1, three sessions with IMEI2, and two sessions with IMEI3. Although there are ten sessions in total, the determining unit aggregates the sessions by IMEI and concludes that Cell A is serving three distinct ODCPE devices (corresponding to EMEU, EMEI2, and IMEI3). Similarly, if Cell B shows sessions from EMEI2, EMEI4, and EMEIS, then Cell B is determined to be serving three devices.

[0084] Based on the determination, the processing unit 214 is configured to generate at least one list of cells serving the one or more devices. In an aspect, based on the determined number of devices served by each cell, the processing unit 214 generates at least one list of cells that are currently serving the one or more devices (for example, FWA or ODCPE devices). After calculating how many devices are connected to each cell using identifiers like IMEI, the processing unit 214 organizes the cell information into structured lists according to a predefined criteria, for example, cells serving a high number of the devices, cells exceeding a load threshold, or cells serving specific device types (identified via TAC). Each list may therefore represent a category, for instance, heavily loaded cells, moderately loaded cells, or cells requiring optimization actions. For example, if Cell A serves 120ODCPE devices, Cell B serves 95, Cell C serves 20, and the operator has defined a threshold of 80 devices per cell, the processing unit generates a list containing Cell A and Cell B as high-load cells serving ODCPE devices.

[0085] The extraction unit 218 is configured to extract a value associated with each of one or more key performance indicators (KPIs) of each cell from the at least one generated list of cells. In an aspect, the one or more KPIs comprise a traffic metric, signal quality, channel quality, latency, throughput, capacity, utilization rates, data speeds, user metrics, and device count. The traffic metric may indicate total data traffic handled by each cell, helping to identify congestion points. Further, utilization rates indicate how much of the available bandwidth is in use, enabling better capacity planning. The data speed may indicate the average download and upload speeds experienced by the user 102, which is crucial for maintaining quality of service. Further, the user metric indicates an average number of users served per cell, which aids in understanding the load on each cell. The device count (e.g., FWA device count) may track the number of FWA devices connected to each cell, facilitating targeted resource allocation. Further, each of the parameter values may indicate the performance of each of the plurality of cells on each of the one or more KPIs. In an aspect, based on the at least one generated list of cells serving the devices (FWA or ODCPE devices), the extraction unit retrieves the measured performance values of the cells for the KPIs from databases (e.g., network monitoring databases or performance management systems). Each KPI represents a measurable aspect of the network performance, and the extraction process collects the current or historic numeric values corresponding to KPIs for every cell in the list. This enables the system to evaluate how well each selected cell is performing and to determine whether optimization or corrective actions are required.

[0086] For example, if the generated list contains Cell A and Cell B, the extraction unit may extract traffic metrics such as total data volume (e.g., Cell A: 2.5 TB / day, Cell B: 1.8 TB / day). For signal quality, the extraction unit 218 may report values such as RSRP / RSRQ or SINR (e.g., Cell A SINR: 5 dB, indicating poor quality; Cell B SINR: 18 dB, indicating good quality). For latency, the extracted values could be average round-trip delay (e.g., Cell A: 85 ms, Cell B: 30 ms). For throughput and data speeds, the extraction unit may retrieve average user throughput (e.g., Cell A: 12 Mbps, Cell B: 45 Mbps). For capacity and utilization rates, the extraction unit 218 may extract resource block utilization (e.g., Cell A: 92% utilization showing congestion; Cell B: 55%). For user metrics and device count, the extraction unit 218 may confirm the number of ODCPE devices (e.g., Cell A: 130 devices, Cell B: 60 devices)

[0087] The creation unit 220 is configured to create a performance report based on the parameter value of each of one or more KPIs. In an aspect, the performance report is generated as a structured summary or analytical document that presents the operational status of cells in the network by using the measured values of selected KPIs. After extracting KPI values (e.g., traffic load, signalquality, latency, throughput, utilization, and device count), the system organizes these parameters in a readable format (e.g., tables, charts, or categorized assessments) to show how each cell is performing relative to predefined benchmarks or thresholds. The generated performance report may highlight normal performance, degraded conditions, congestion, or capacity issues, thereby enabling network operators to quickly understand network health and decide whether optimization actions are needed.

[0088] In an aspect, the performance report is created to generate insights into one or more KPIs. The generated insights comprise the traffic metric, the utilization rates, the data speeds, an average number of users served by each of the plurality of cells, and the number of devices being served by each of the plurality of cells. For example, if Cell A shows 95% utilization, high latency (90 ms), low throughput (10 Mbps), and a large device count, while Cell B shows moderate utilization (60%), low latency (25 ms), and high throughput (50 Mbps), the generated performance report will indicate Cell A as overloaded or underperforming and Cell B as healthy. The performance report may be produced periodically or on demand and may be used for capacity planning, fault diagnosis, quality-of-service assurance, and decision-making regarding load balancing, parameter tuning, or infrastructure upgrades.

[0089] Further, it should be noted that the FWA data speeds depend on the number of FWA devices latched on a cell. The performance report shows the number of devices latched to the cell in a day, helping optimize the cell and redistribute the FWA load, which may improve the customer experience. Further, any degradation in performance of the cells may be rectified on priority by the operations team to enhance the end user experience.

[0090] In an aspect, the performance report is generated at a predefined time or in response to a request for generating the performance report. The performance report is generated periodically, such as once per day, providing essential bottlenecks and insights into the health of the network 106. The performance report is rendered to the user (such as a member of the operations team) at busy hours and at a daily level to facilitate quick remedial action so that degradation in performance in the plurality of cells is rectified on a priority basis, enhancing the end user experience.

[0091] In an aspect, the generated performance report is sent to a user using at least one notification service. Further, the performance report may be rendered to the designated operations team via Push notifications, email, Short Messages Service (SMS), etc. In an aspect, after the system generates a performance report based on the cells' KPI values, the report is sent to the intended recipient, for example, a network operator, administrator, or maintenance team, via one or more communication channels. The notification service may include email, SMS, push notifications, in-app alerts, dashboards, or messaging platforms, ensuring that responsible personnel are promptly informed about network conditions, especially if any cell requires attention. This enables timely decision-making and fasterresponses to performance issues without requiring the user to manually check the system. For example, the performance report indicates that Cell A is heavily congested, serving an unusually high number of ODCPE devices, with poor throughput and high latency. The system automatically sends an email and a mobile app alert to the network operations engineer stating that “Cell A performance is degraded due to utilization 95%, latency 90 ms, device count 140.” Upon receiving the notification, the engineer may immediately initiate corrective actions such as load balancing, parameter optimization, or dispatching a field team.

[0092] In an aspect, one or more operations are performed in real time based on the generated performance report. The one or more operations comprise resource management, cell upgradation, cell degradation, traffic steering, load balancing, and configuration management. The system (e.g., an automated control or selforganizing network function) immediately takes corrective or optimization actions as soon as the performance report indicates a problem or inefficiency in one or more cells. Instead of waiting for manual intervention, the system analyzes the KPI-based report in real time and triggers appropriate operations / actions to maintain service quality, reduce congestion, or improve user experience for connected devices such as FWA or ODCPE units. These operations include adjusting how radio resources are allocated (resource management), upgrading a cell’s capacity (cell upgradation), temporarily limiting a cell to stabilize performance (cell degradation), redirecting users to neighboring cells (traffic steering), distributing load more evenly (load balancing), or modifying network parameters (configuration management).

[0093] For example, if the performance report shows that Cell A has 95% utilization, high latency, and a very high number of ODCPE devices while nearby Cell B is lightly loaded, the system may, in real time, steer some devices from Cell A to Cell B (traffic steering), rebalance connections between the two cells (load balancing), and allocate additional radio resources or spectrum to Cell A (resource management). If congestion persists, the operator may automatically trigger a cell upgradation, such as enabling additional carriers or activating a small cell. Conversely, if a cell is underutilized or causing interference, the system may reduce its transmission parameters (cell degradation). All operations / actions are performed dynamically based on the generated performance report to ensure optimal network operation without service disruption.

[0096] FIG. 3 illustrates an exemplary flow diagram of a method 300 for monitoring the performance of the devices in the network 106, in accordance with an embodiment of the present disclosure. FIG. 3 is described in conjunction with FIGs. 1-2.

[0097] At step 302, the method 300 includes receiving, by the receiving unit 212, session data associated with each of a plurality of sessions of each of the one or more devices. The one or more devices are connected to a plurality of cells present in the network. In an aspect, the session data associated with a plurality of sessions may include information about one or more devices, connectivity providers, etc.

[0098] At step 304, the method 300 includes segregating, by the processing unit 214, one or more identifiers (IDs) of each of the one or more devices from the received session data. In an aspect, one or more identifiers (IDs) of each of the one or more devices are segregated from the session data. The one or more IDs are unique serial numbers associated with exactly one device. The one or more identifiers may include an International Mobile Equipment Identity Identifier (IMEI ID) and Type Allocation Code (TAC) code of each of the one or more devices.

[0099] At step 306, the method 300 includes determining, by the determining unit 216, a number of devices being served by each of the plurality of cells based on the one or more IDs. In an aspect, a number of devices being served by each of the plurality of cells of the network (106) is determined based on the one or more IDs. In simple words, the plurality of cells serving one or more devices are listed for performance monitoring. The one or more IDs comprise at least one of IMEI and TAC. The one or more IDs may be traced back to determine the associated device, and then the session formed by the associated device may be used to determine the cell connected to the associated device.

[0100] At step 308, the method 300 includes, based on the determination, generating, by the processing unit 214, at least one list of cells serving the one or more devices. In an aspect, after determining the number of devices served by the cell, the processing unit 214 generates one or more lists identifying the cells that are serving the devices, for example, FWA or ODCPE devices. Furthermore, the determination of number of devices served by the cells relies on unique identifiers (for example, IMEI) to ensure each device is counted only once per cell. The cells are then grouped into structured categories based on predefined conditions, such as device load thresholds or specific device types (for example, using TAC). As a result, each list may correspond to a classification like highly loaded cells, moderately loaded cells, or cells that may require optimization or corrective actions.

[0101] At step 310, the method 300 includes extracting, by the extraction unit 218, a value associated with each of one or more key performance indicators (KPIs) of each cell from the at least one generated list of cells. In an aspect, the parameter value associated with each of one or more Key Performance Indicators (KPIs) of each cell of the plurality of cells is extracted. The parameter values may indicate the health of the plurality of cells based on the KPIs. The KPIs may include traffic metrics, utilization rates, data speeds, user metrics, and device count (e.g., FWA device count). In an embodiment, the FWA device count may correspond to the number of devices being served by each of the plurality of cells.

[0102] At step 312, the method 300 includes creating, by the creation unit 220, a performance report based on the parameter value of each of one or more KPIs. In an aspect, the performance report is created to generate insights into one or more KPIs based on the parameter value of each of the one or more KPIs. The performance report may contain the performance of each of the plurality of cells against each of the one or more KPIs. In an aspect, the performance report isgenerated at a predefined time (e.g., daily at 12 PM) or in response to a request from the network operator to generate the performance report.

[0103] Further, the generated performance report is sent to a user using at least one notification service (e.g., messaging service, SMS, etc.). The performance report may be rendered to the user (e.g., network operator, administration team, maintenance team) via a User interface (UI). The user (e.g., network operator, administration team, maintenance team) performs one or more operations in realtime based on the generated performance report. The one or more operations comprise resource management, cell upgradation, cell degradation, traffic steering, load balancing, and configuration management. This enables quick remedial action on underperforming cells, ensuring uninterrupted broadband service to customers.

[0104] FIG. 4 illustrates an exemplary computer system 400 in which or with which embodiments of the present disclosure may be implemented.

[0105] As shown in FIG. 4, the computer system 400 may include an external storage device 410, a bus 420, a main memory 430, a read-only memory 440, a mass storage device 450, communication port(s) 460, and a processor 470. A person skilled in the art will appreciate that the computer system 400 may include more than one processor and communication ports. The processor 470 may include various modules associated with embodiments of the present disclosure. The communication port(s) 460 may be any of an RS-232 port for use with a modembased dialup connection, a 10 / 100 Ethernet port, a Gigabit or 10 Gigabit port using copper or fiber, a serial port, a parallel port, or other existing or future ports. The communication port(s) 460 may be chosen depending on a network, such a Local Area Network (LAN), Wide Area Network (WAN), or any network to which the computer system 400 connects.

[0106] The main memory 430 may be a Random Access Memory (RAM), or any other dynamic storage device commonly known in the art. The read-only memory 440 may be any static storage device(s) e.g., but not limited to, a Programmable Read Only Memory (PROM) chips for storing static information e.g., start-up or Basic Input / Output System (BIOS) instructions for the processor 470. The mass storage device 450 may be any current or future mass storage solution, which can be used to store information and / or instructions. Exemplary mass storage device 450 includes, but is not limited to, Parallel Advanced Technology Attachment (PATA) or Serial Advanced Technology Attachment (SATA) hard disk drives or solid-state drives (internal or external, e.g., having Universal Serial Bus (USB) and / or Firewire interfaces), one or more optical discs, Redundant Array of Independent Disks (RAID) storage, e.g. an array of disks.

[0107] The bus 420 communicatively couples the processor 470 with the other memory, storage, and communication blocks. The bus 420 may be, e.g. a Peripheral Component Interconnect (PCI)ZPCI Extended (PCLX) bus, Small Computer System Interface (SCSI), Universal Serial Bus (USB), or the like, for connecting expansion cards, drives, and other subsystems as well as other buses,such a front side bus (FSB), which connects the processor 470 to the computer system 400.

[0108] Optionally, operator and administrative interfaces, e.g. a display, keyboardjoystick, and a cursor control device, may also be coupled to the bus 420 to support direct operator interaction with the computer system. Other operator and administrative interfaces can be provided through network connections connected through the communication port(s) 460. Components described above are meant only to exemplify various possibilities. In no way should the aforementioned exemplary computer system 400 limit the scope of the present disclosure.

[0109] The present disclosure provides a computer program product comprising a non-transitory computer-readable medium comprising instructions that, when executed by one or more processors, cause the one or more processors to execute a method for monitoring performance of one or more devices in a network is disclosed. The method comprises receiving, by a receiving unit, session data associated with each of a plurality of sessions of each of the one or more devices. The one or more devices are connected to a plurality of cells present in the network. The method comprises segregating, by a processing unit, one or more identifiers (IDs) of each of the one or more devices from the received session data. The method comprises determining, by a determining unit, a number of devices being served by each of the plurality of cells based on the one or more IDs and based on the determination, generating, by the processing unit, at least one list of cells serving the one or more devices. The method comprises extracting, by an extraction unit, a value associated with each of one or more key performance indicators (KPIs) of each cell from the at least one generated list of cells and creating, by a creation unit, a performance report based on the parameter value of each of one or more KPIs.

[0110] The present disclosure provides significant technical enhancements by monitoring the performance of one or more devices in the network. Currently, allocating mobile network resources (PRBs) to FWA users may reduce the capacity available to regular mobile subscribers, especially during peak demand. Additionally, maintaining consistent QoS for broadband over wireless (Air Fiber) may be challenging due to interference, cell congestion, and varying radio conditions, which degrade performance. The present disclosure segregates international mobile equipment identity (IMEI) Identifier (ID) and type allocation code (TAC) codes of one or more fixed wireless access (FWA) devices from the session data. Further, a cell level aggregation of the session data is done based on the segregated IMEI IDs to determine the number of outdoor customer premise equipment (ODCPE) devices being used by each cell of the network. Further, the performance statistics covering traffic, utilization, data speeds, etc., are made readily available to the operations team. Any degradation in performance in these cells may be rectified on priority by the operations team, which may further enhance the end-user experience.

[0111] While the foregoing describes various embodiments of the invention, other and further embodiments of the invention may be devised without departing from the basic scope thereof. The scope of the invention is determined by the claims that follow. The invention is not limited to the described embodiments, versions or examples, which are included to enable a person having ordinary skill in the art to make and use the invention when combined with information and knowledge available to the person having ordinary skill in the art.

[0112] The method and system of the present disclosure may be implemented in a number of ways. For example, the methods and systems of the present disclosure may be implemented by software, hardware, firmware, or any combination of software, hardware, and firmware. The above-described order for the steps of the method is for illustration only, and the steps of the method of the present disclosure are not limited to the order specifically described above unless specifically stated otherwise. Further, in some embodiments, the present disclosure may also be embodied as programs recorded in a recording medium, the programs including machine-readable instructions for implementing the methods according to the present disclosure. Thus, the present disclosure also covers a recording medium storing a program for executing the method according to the present disclosure.

[0113] While considerable emphasis has been placed herein on the preferred embodiments, it will be appreciated that many embodiments can be made and that many changes can be made in the preferred embodiments without departing from the principles of the disclosure. These and other changes in the preferred embodiments of the disclosure will be apparent to those skilled in the art from the disclosure herein, whereby it is to be distinctly understood that the foregoing descriptive matter is to be implemented merely as illustrative of the disclosure and not as a limitation.ADVANTAGES OF THE INVENTION

[0114] Proactive Issue Resolution: The present disclosure introduces a method and a system that facilitates quick remedial action on poor-performing cells, ensuring uninterrupted broadband services to customers.

[0115] Automation and Real-Time Monitoring: The present disclosure introduces a method and a system that automatically generates a list of all cells serving Free Wireless Access (FWA) devices, providing operators with real-time visibility into critical network segments.

[0116] Enhanced Customer Experience: The present disclosure introduces a method and a system that optimizes cell utilization by redistributing FWA device loads based on daily metrics, leading to improved data speeds and service quality.

[0117] Comprehensive Performance Reporting: The present disclosure introduces a method and a system that delivers regular, detailed performance reports covering traffic metrics, utilization rates, data speeds, user metrics, and FWA device count.

[0118] Cost and Time Efficiency: The present disclosure introduces a method and a system that uses existing mobile network resources to provide broadband services, bypassing the need for fiber installations, which may be expensive and time-consuming.

[0119] Improved Network Health Insights: The present disclosure introduces a method and a system that supplies critical Key Performance Indicators (KPI) metrics to ensure efficient operation and rapid troubleshooting of 5G cells serving FWA customers.

Claims

CLAIMSWe claim:

1. A method 300 for monitoring performance of one or more devices in a network 106, the method comprising:receiving 302, by a receiving unit 212, session data associated with each of a plurality of sessions of each of the one or more devices, wherein the one or more devices are connected to a plurality of cells present in the network 106;segregating 304, by a processing unit 214, one or more identifiers (IDs) of each of the one or more devices from the received session data;determining 306, by a determining unit 216, a number of devices being served by each of the plurality of cells based on the one or more IDs;based on the determination, generating 308, by the processing unit 214, at least one list of cells serving the one or more devices;extracting 310, by an extraction unit 218, a value associated with each of one or more key performance indicators (KPIs) of each cell from the at least one generated list of cells; andcreating 312, by a creation unit 220, a performance report based on the parameter value of each of one or more KPIs.

2. The method 300 as claimed in claim 1, wherein the one or more IDs comprise at least one of an international mobile equipment identity (IMEI) and a type allocation code (TAC).

3. The method 300 as claimed in claim 1, wherein the one or more KPIs comprise a traffic metric, signal quality, channel quality, latency, throughput, capacity, utilization rates, data speeds, user metrics, and a device count.

4. The method 300 as claimed in claim 1, wherein the performance report is created to generate insights into one or more KPIs, and wherein the generated insights comprises the traffic metric, the utilization rates, the data speeds, an average number of users served by each of the plurality of cells, and the number of devices being served by each of the plurality of cells.

5. The method 300 as claimed in claim 1, wherein the performance report is generated at a predefined time or in response to a request for generating the performance report, wherein the generated performance report is sent to a user using at least one notification service.

6. The method 300 as claimed in claim 1, wherein the one or more devices are fixed wireless access (FWA) service devices, wherein the FWA service devices are outdoor customer premises equipment (ODCPE) devices.

7. The method 300 as claimed in claim 1, wherein one or more operations are performed in real time based on the generated performance report, and wherein the one or more operations comprise resource management, cell upgradation, cell degradation, traffic steering, load balancing, and configuration management.

8. A system 108 for monitoring performance of one or more devices in a network 106, the system 108 comprising:a receiving unit 212 configured to receive session data associated with each of a plurality of sessions of each of the one or more devices, wherein the one or more devices are connected to a plurality of cells present in the network 106;a processing unit 214 configured to segregate one or more identifiers (IDs) of each of the one or more devices from the received session data; a determining unit 216 configured to determine a number of devices being served by each of the plurality of cells based on the one or more IDs;based on the determination, the processing unit 214 configured to generate at least one list of cells serving the one or more devices;an extraction unit 218 configured to extract a value associated with each of one or more key performance indicators (KPIs) of each cell from the at least one generated list of cells; anda creation unit 220 configured to create a performance report based on the parameter value of each of one or more KPIs.

9. The system 108 as claimed in claim 8, wherein the one or more IDs comprise at least one of an international mobile equipment identity (IMEI ID) and a type allocation code (TAC).

10. The system 108 as claimed in claim 8, wherein the one or more KPIs comprise a traffic metric, signal quality, channel quality, latency, throughput, capacity, utilization rates, data speeds, user metrics, and a device count.

11. The system 108 as claimed in claim 8, wherein the performance report is created to generate insights into one or more KPIs, and wherein the generated insights comprises the traffic metric, the utilization rates, the data speeds, an average number of users served by each of the plurality of cells, and the number of devices being served by each of the plurality of cells.

12. The system 108 as claimed in claim 8, wherein the performance report is generated at a predefined time or in response to a request for generating the performance report, wherein the generated performance report is sent to a user using at least one notification service.

13. The system 108 as claimed in claim 8, wherein the one or more devices are fixed wireless access (FWA) service devices, wherein the FWA service devices are outdoor customer premises equipment (ODCPE) devices.

14. The system 108 as claimed in claim 8, wherein one or more operations are performed in real time based on the generated performance report, and wherein the one or more operations comprise resource management, cell upgradation, cell degradation, traffic steering, load balancing, and configuration management.

15. A computer program product comprising a non-transitory computer- readable medium comprising instructions that, when executed by one or more processors, cause the one or more processors to execute a method 300 for monitoring performance of one or more devices in a network 106, the method comprising:receiving 302, by a receiving unit 212, session data associated with each of a plurality of sessions of each of the one or more devices, wherein the one or more devices are connected to a plurality of cells present in the network 106;segregating 304, by a processing unit 214, one or more identifiers (IDs) of each of the one or more devices from the received session data;determining 306, by a determining unit 216, a number of devices being served by each of the plurality of cells based on the one or more IDs;based on the determination, generating 308, by the processing unit 214, at least one list of cells serving the one or more devices;extracting 310, by an extraction unit 218, a value associated with each of one or more key performance indicators (KPIs) of each cell from the at least one generated list of cells; andcreating 312, by a creation unit 220, a performance report based on the parameter value of each of one or more KPIs.

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