System and method for monitoring performance of fixed wireless access cells in wireless communication network

Abstract

Disclosed is a method for monitoring performance of a Fixed Wireless Access (FWA) cell (104) in a wireless communication network (100). The method includes identifying (502) a number of wireless devices attached to the FWA cell (104) based on a crowd-sourced data. The method further includes monitoring (504) one or more Key Performance Indicators (KPIs) of the FWA cell (104) based on a determination that the number of wireless devices attached to the FWA cell is greater than a threshold number. Further, the method includes displaying (506) the monitored KPIs of the FWA cell (104) on a map layer.

Description

SYSTEM AND METHOD FOR MONITORING PERFORMANCE OF FIXED WIRELESS ACCESS CELLS IN WIRELESS COMMUNICATION NETWORKTECHNICAL FIELD

[0001] The embodiments of the present disclosure generally relate to the field of wireless communication networks. More particularly, the present disclosure relates to a system and a method for monitoring performance of Fixed Wireless Access (FWA) cells in the wireless communication network.BACKGROUND OF THE INVENTION

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

[0003] With recent advancements in telecommunication networks, migration of end users from Fourth Generation (4G) to Fifth Generation (5G) networks have become prevalent. To satisfy the needs and demands of the end users, network service providers continue to improve and expand available services as well as networks. One aspect of such improvements includes the development of Fixed Wireless Access (FWA) cells as well as options to utilize such FWA cells. The FWA cells manage a large number of devices using different types of services in different Radio Frequency (RF) environments.

[0004] The FWA cells use a fixed antennae system and wirelessly connect with a Customer Premises Equipment (CPE) placed at each customer premises. Each User Equipment (UE) communicates wirelessly with a Base Station (BS) via the CPE and the FWA cells. The FWA cells help in network expansion and improves the performance of the network by providing high speed data services.

[0005] When a large number of CPEs are latched to the FWA cell, it leads to congestion which in turn leads to reduced data speeds, packet loss, interference that degrades signal quality, capacity limitation resulting in dropped connections, failed data transmissions, and overall poor service reliability. Also, latching the large number of CPE to the FWA cells than the recommended number strains backhaul capacity, leading to bottlenecks. This affects the performance of the FWA cells and in turn affects the performance of the network. Also, as the number of CPE latching to the FWA cells increases, spare capacity of the FWA cells decreases and the throughput gradually decreases.

[0006] In conventional systems, monitoring the number of CPE latched to an FWA cell is done manually and the process is time consuming and less reliable. Also, in case of any issue in the FWA cell, detecting anomalies is a herculean task.

[0007] In light of the aforementioned challenges, there is a need for an improved system and method for identifying the number of CPE latched to the FWA cells and monitoring the performance of the FWA cells.SUMMARY

[0008] 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.

[0009] In an embodiment, a method for monitoring performance of a Fixed Wireless Access (FWA) cell in a wireless communication network is described. The method includes identifying, by an identification module, a number of wireless devices attached to the FWA cell based on a crowd-sourced data. The method further includes monitoring, by a processing module, one or more Key Performance Indicators (KPIs) of the FWA cell based on a determination that the number ofwireless devices attached to the FWA cell is greater than a threshold number. Further, the method includes displaying, by a display analytics module, the monitored KPIs of the FWA cell on a map layer.

[0010] In some aspects of the present disclosure, for identifying the number of wireless devices attached to the FWA cell, the method includes obtaining, by a reception module from a database, the crowd-sourced data associated with the FWA cell, wherein the crowd-sourced data comprises a Type Allocation Code (TAC) of an International Mobile Equipment Identity (IMEI) number of each of the wireless devices latched to the FWA cell. Further, the method includes identifying, by the identification module, the number of wireless devices attached to the FWA cell using the TAC of the IMEI number of the wireless devices latched to the FWA cell.

[0011] In some aspects of the present disclosure, the method further includes comparing, by a determination module, the number of wireless devices attached to the FWA cell with the threshold number and determining, by the determination module, that the number of wireless devices attached to the FWA cell is greater than the threshold number based on the comparison.

[0012] In some aspects of the present disclosure, the one or more KPIs includes at least one of bandwidth, Reference Signal Strength Indicator (RS SI), Reference Signal Received Power (RSRP), Reference Signal Received Quality (RSRQ), Signal-to-Interference-Plus-Noise Ratio (SINR), Channel Quality Indicator (CQI), network availability, uplink throughput, downlink throughput, network payload, session setup success rate, session drop rate, or downlink average utilization.

[0013] In another embodiment, a system for monitoring performance of a Fixed Wireless Access (FWA) cell in a wireless communication network is described. The system includes an identification module configured to identify a number of wireless devices attached to the FWA cell based on a crowd-sourced data. The system further includes a processing module configured to monitor one or more Key Performance Indicators (KPIs) of the FWA cell based on a determination that the number of wireless devices attached to the FWA cell is greater than a thresholdnumber. Further, the system includes a display analytics module configured to display the monitored KPIs of the FWA cell on a map layer.BRIEF DESCRIPTION OF DRAWINGS

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

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

[0016] FIG. 2 illustrates a block diagram of a system for monitoring performance of Fixed Wireless Access (FWA) cells in the wireless communication network, in accordance with an embodiment of the present disclosure.

[0017] FIG. 3 illustrates a functional block diagram of one or more modules of the processor of the system, in accordance with an embodiment of the present disclosure.

[0018] FIG. 4 illustrates a process flow diagram depicting a method for monitoring one or more Key Performance Indicators (KPIs) of the FWA cell in the wireless communication network, in accordance with an embodiment of the present disclosure.

[0019] FIG. 5 illustrates a process flow diagram depicting a method for monitoring performance of the FWA cell in the wireless communication network, in accordance with an embodiment of the present disclosure.

[0020] FIG. 6 illustrates a schematic block diagram of a computing system for monitoring performance of the FWA cell in the wireless communication network, in accordance with an embodiment of the present disclosure.DETAILED DESCRIPTION OF THE INVENTION

[0021] 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.

[0022] 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.

[0023] The following description contains specific information pertaining to embodiments in the present disclosure. The detailed description uses the phrases “in some embodiments” which may each refer to one or more or all of the same ordifferent embodiments. 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” refers to one embodiment and the term, for example, “in one or more embodiments” refers to “at least one embodiment, or more than one embodiment, or all embodiments.”

[0024] 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.”

[0025] In the following description, for the purposes of explanation, various specific details are set forth 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.

[0026] 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.

[0027] The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the disclosure. As usedherein the description, the singular forms "a", "an", and "the" include plural forms unless the context of the disclosure indicates otherwise.

[0028] 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.

[0029] The various aspects including the example aspects are now described more fully with reference to the accompanying drawings, in which the various aspects of the disclosure are shown. The disclosure may, however, be embodied in different forms and should not be construed as limited to the aspects set forth herein. Rather, these aspects are provided so that this disclosure is thorough and complete, and fully conveys the scope of the disclosure to those skilled in the art. In the drawings, the sizes of components may be exaggerated for clarity.

[0030] Embodiments of the present disclosure will be described below in detail with reference to the accompanying drawings. FIG. 1 through 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.

[0031] Various aspects of the present disclosure provide a system and a method for monitoring performance of Fixed Wireless Access (FWA) cells in a wireless communication network.

[0032] In another aspect of the present disclosure, the system and the method utilize mechanisms to identify poorly performing FWA cells based on a number of wireless devices connected to the FWA cells.

[0033] In another aspect of the present disclosure, the system and the method monitor the poor performing FWA cells to enhance network performance and to provide proactive maintenance, optimized resource allocation, increased customer satisfaction, and compliance with regulator’s requirements.

[0034] In the present disclosure, various embodiments are described using terms such as extensible radio access network (xRAN), and open-radio access network (0-RAN)) that are commonly used in communication standards (e.g., 3rd generation partnership project (3GPP), but these are merely examples for description. Various embodiments of the disclosure may also be easily modified and applied to other communication systems.

[0035] Several key terms used in the description play pivotal roles in facilitating the system functionality. In order to facilitate an understanding of the description, the key terms are defined below.

[0036] A “Fixed Wireless Access (FWA)” in the present disclosure may represent a wireless connection that provides broadband access to a specific location such as a home or enterprise premises. The FWA may enable consumers to connect to a network and access high-speed internet via radio signal, without the need for physical cables.

[0037] A “Customer Premise Equipment (CPE)” in the present disclosure may be a hardware and device located at a location of a customer that connects the customer to a network of a service provider for services like internet, phone, and television. The CPE may be an equipment between the network of the service provider and the device located at the location of the customer.

[0038] An “Outdoor CPE (ODCPE)” in the present disclosure may provide connection point between distribution cables and drop cables at a subscriber access point in fiber optic network. The ODCPE may provide signal splitting, connection management, and protection to a network infrastructure.

[0039] A "New Radio (NR) Cell Global Identity (NCGI)" in the present disclosure may refer to a globally unique identifier that represents a specific cell within the network. The NCGI may ensure that no two cells within a global network may have a same identifier value.

[0040] A “Type Allocation Code (TAC)” in the present disclosure may be an eightdigit code that identifies a make, model, and a manufacturer and / or brand of a cellular device. The TAC code may represent the first eight digits of an International Mobile Equipment Identity (IMEI) number. The TAC may help cellular networks recognize devices that are approved for use on their infrastructure.

[0041] A “Network Management System (NMS)” in the present disclosure may represent a system that enables operators to monitor and configure communication networks. The NMS identifies, configures, monitors, updates, and troubleshoots network devices in the communication network.

[0042] A “Key Performance Indicator (KPI)” in the present disclosure may be a quantifiable measurement of network parameters to monitor and analyze the performance of the network.

[0043] A “Reference Signal Received Power (RSRP)” in the present disclosure may represent a linear average of reference signal power (in Watts) in resource elements that carry cell-specific reference signals within considered measurement frequency bandwidth.

[0044] A “Received Signal Strength Indicator (RSSI)” in the present disclosure may be a measurement of total received power observed by a user device over a specific bandwidth. The measurement may include the power of a desired signal, interference, and noise. RSSI may be used as an indicator of signal strength in conjunction with performance metrics like RSRP and Reference Signal Receive Quality (RSRQ).

[0045] The “RSRQ” in the present disclosure may be a quality metric represented as a ratio of the RSRP to the total RS SI in a measured bandwidth. In particular, the RSRQ may indicate a quality of the signal relative to interference and noise.

[0046] A “Channel Quality Indicator (CQI)” in the present disclosure may be a metric that quantifies the quality of a radio channel between the user device and the base station.

[0047] A “Signal-to-Interference-plus-Noise Ratio (SINR)” in the present disclosure may be a ratio of the signal power to the sum of interference and noise power, determining the minimum required value for successful packet reception in the communication networks.

[0048] A “map layer” in the present disclosure may be a User Interface to organize and display different types of geographic information on a digital map. The map layer may be a transparent overlay that can be turned on or off, allowing users to view specific data sets without cluttering the entire map.

[0049] The present disclosure relates to a system and a method for monitoring performance of the FWA cells in the wireless communication network. The FWA cells may use wireless connection to attach with the wireless devices to a broader network. Each of the wireless device among the wireless devices may correspond to the CPE which is designed to transmit, receive, or process wireless signals for communication purposes, typically utilizing radio frequency technology, and may include components such as antennas, transmitters, receivers, and processors. The CPE may also be referred to as an Optical Distribution, Convergence, and Placement Equipment (ODCPE) device or the Outdoor CPE. The FWA cell may use the wireless devices that may act as miniature cell towers to connect homes and businesses with high-speed data service. A User Equipment (UE) may obtain data services from a network service provider through a Base Station (BS) connected to the network. The FWA cells may be wirelessly connected to the BS and may relay the data to the UE through the CPE. Each FWA cell may be connected to a small number of CPEs to provide data services to the UE. The performance of the FWAcell may be dependent on the number of CPEs latched to the corresponding FWA cell. Therefore, the present disclosure may provide a system and a method for monitoring performance of the FWA cells based on the number of CPEs latched to each FWA cell.

[0050] Crowd-sourced data may be utilized by the network service providers when planning and building their networks. The crowd-sourced data may be utilized to identify capacity demand via accurate subscriber locations and usage thereby allowing the network service providers to deploy the network. The present disclosure may harness crowd-sourced data to identify the number of CPEs latched to the FWA cell. Each CPE may be specifically identified by an International Mobile Equipment Identity (IMEI) number, latched to a particular Network Cell Group Identifier (NCGI). The CPE latched to the FWA cell may be identified on a daily basis and the FWA cells in each coverage region may be classified based on the number of the CPEs latched. Once the number of CPEs latched to the FWA cell exceeds a maximum attachable limit, one or more Key Performance Indicators (KPIs) of the FWA cell may be monitored to identify the poor performing FWA cell. Further, present disclosure may facilitate visualizing the monitored FWA cell on a User Interface (UI) of a user device.

[0051] FIG. 1 illustrates a diagram depicting an environment of a wireless communication network 100, in accordance with an embodiment of the present disclosure.

[0052] The wireless communication network 100 includes coverage regions 112-1 to 112-N (hereinafter cumulatively referred to as the coverage region 112). The coverage region 112 is served by one or more BSs 102-1 to 102-N. Each BS among the one or more BSs 102-1 to 102-N may have same or similar configuration and may also be referred to as “BS 102” or “node 102”. The one or more BSs 102-1 to 102-N serves one or more UEs 110-1 to 110-N in the coverage region 112. Each UE among the one or more UEs 110-1 to 110-N may have same or similar configuration and may also be referred to as “UE 110”. The one or more BSs 102-1 to 102-N areconnected to a network 114 to provide one or more services to the one or more UEs 110-1 to 110-N. The wireless communication network 100 further includes a server 116 connected to the network 114.

[0053] The BS 102 may be at least one relay, and at least one Distributed Unit (DU). Typically, the BS 102 may be a network infrastructure that provides wireless access to one or more terminals. The BS 102 has coverage defined to be a predetermined geographic area based on the distance over which a signal may be transmitted. The BS 102 may be referred to as, in addition to “base station”, “access point (AP)”, “evolved NodeB (eNodeB or eNB)”, “5G node (5th generation node)”, “next generation NodeB (gNB)”, “wireless point”, “transmission / reception point (TRP)”, “Radio Access Network (RAN)” or other terms having equivalent technical meanings.

[0054] The UE 110 may be, at least one DU, at least one Mobile Termination (MT) unit, and at least one relay. Typically, the term “user equipment” or “UE” can refer to any component such as “mobile station”, “subscriber station”, “remote terminal”, “wireless terminal”, “receive point”, or “end user device”.

[0055] The network 114 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. Each network port may correspond to a virtual address (or a physical machine address) for transmission and reception of the communication data. For example, the virtual address may be an Internet Protocol Version 4 (IPV4) (or an IPV6 address) and the physical address may be a Media Access Control (MAC) address. The network 114 may be associated with an application layer for implementation of communication protocols based on one or more communication requests from the various entities of the wireless communication network 100.

[0056] The communication data may be transmitted or received via the communication protocols. Examples of the communication protocols may include,but are not limited to, Hypertext Transfer Protocol (HTTP), File Transfer Protocol (FTP), Simple Mail Transfer Protocol (SMTP), Domain Network System (DNS) protocol, Common Management Interface Protocol (CMIP), Transmission Control Protocol and Internet Protocol (TCP / IP), User Datagram Protocol (UDP), Long Term Evolution (LTE) communication protocols, or any combination thereof. In some aspects of the present disclosure, the communication data may be transmitted or received via at least one communication channel of several communication channels in the network 114. The communication channels may include, but are not limited to, a wireless channel, a wired channel, a combination of wireless and wired channel thereof. The wireless or wired channel may be associated with a data standard which may be defined by one of a Local Area Network (LAN), a Personal Area Network (PAN), a Wireless Local Area Network (WLAN), a Wireless Sensor Network (WSN), Wireless Area Network (WAN), Wireless Wide Area Network (WWAN), a metropolitan area network (MAN), a satellite network, the Internet, an optical fiber network, a coaxial cable network, an infrared (IR) network, a radio frequency (RF) network, and a combination thereof. Aspects of the present disclosure are intended to include or otherwise cover any type of communication channel, including known, related art, and / or later developed technologies.

[0057] The network 114 may include one or more Fixed Wireless Access (FWA) cells 104-1 to 104-N (hereinafter cumulatively referred to as the FWA cell 104), one or more Customer Premise Equipment (CPEs) 106-1 to 106-N (hereinafter cumulatively referred to as the wireless device 106 or the CPE 106), and one or more Access Points (APs) 108-1 to 108-N (hereinafter cumulatively referred to as the AP 108).

[0058] The BS 102 serves the UE 110 through the FWA cell 104. The FWA cell 104 may be installed on a customer premises, such as outside a building or inside a building. The FWA cell 104 may be configured to attach and communicate with the network 114 via the BS 102. The network 114 may provide access to enable the FWA cell 104 to connect to the network service provider for mobile telephone service, Short Message Service (SMS) message service, Multimedia MessageService (MMS) message service, internet access, cloud computing, and / or other types of data services. The FWA cell 104 may be connected to the one or more CPEs 106-1 to 106-N. The UE 110 may communicate with the FWA cell 104 via the CPE 106 among the one or more CPEs 106-1 to 106-N.

[0059] The CPE 106 may include a network device configured to function as a switch and / or router for devices in the network 114. The CPE 106 may connect the UE 110 to the FWA cell 104. The CPE 106 may include a layer 2 and / or layer 3 network device, such as a switch, router, firewall, and / or gateway and may support different types of interfaces, such as an Ethernet interface, a wireless interface, a coaxial interface, and / or other types of interfaces. The CPE 106 may further manage the one or more APs 108-1 to 108-N and / or the one or more UEs 110-1 to 110-N connected to the AP 108.

[0060] The AP 108 may include a transceiver configured to communicate with the UE 110 using wireless signals. The AP 108 may enable the UE 110 to communicate with each other and / or with the FWA cell 104 via the CPE 106. The AP 108 may be connected to the CPE 106 via a wired connection (e.g., an Ethernet cable). In some implementations, the AP 108 may include one or more Ethernet ports for connecting the UE 110 via a wired Ethernet connection.

[0061] The server 116 may be a network of computers, a software framework, or a combination thereof, that may provide a generalized approach to create a server implementation. Examples of the server 116 may include, but are not limited to, personal computers, laptops, mini -computers, mainframe computers, any nontransient and tangible machine that can execute a machine-readable code, cloudbased servers, distributed server networks, or a network of computer systems. The server 116 may be realized through various web-based technologies or any webapplication framework. In other aspects of the present disclosure, the server 116 may be configured to execute one or more data processing and / or storage operations to acquire information of the number of the CPE 106 latched to the FWA cell 104.

[0062] FIG. 2 illustrates a block diagram of a system 200 for monitoring performance of the FWA cell 104 in the wireless communication network 100, in accordance with an embodiment of the present disclosure. The system 200 may include a network 114, the one or more BSs 102-1 to 102-N, the one or more FWA cells 104-1 to 104-N, the one or more CPEs 106-1 to 106N, the one or more APs 108-1 to 108-N, the one or more UEs 110-1 to 110-N connected to the network 114, the server 116, a Network Management System (NMS) 202, and an external database 214.

[0063] The server 116 includes a communication interface 204, a processor 206, a memory 210 coupled to the processor 206, and a server database 212. The processor 206 may control the operation of the server 116. The processor 206 may include one or more modules 208 (hereinafter also referred to as the “modules 208”). The processor 206 may also be referred to as a Central Processing Unit (CPU). The memory 210 may provide instructions and data to the processor 206 for performing functions of the server 116. The memory 210 may include a Random Access Memory (RAM), a Read-Only Memory (ROM) and a portion of the memory 210 may also include Non-Volatile Random Access Memory (NVRAM). The processor 206 may perform logical and arithmetic operations based on instructions stored within the memory 210. The communication interface 204 may allow transmission and reception of data between the server 116 and the network 114. The communication interface 204 may include a transmitter, a receiver, and a single or multiple transmit antennas electrically coupled to the transmitter and the receiver of the communication interface 204.

[0064] The communication interface 204 may be configured to enable the server 116 to communicate with various entities of the system 200 via the network 114. Examples of the communication interface 204 may include, but are not limited to, a modem, 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 coder-decoder (CODEC) chipset, a subscriber identity module (SIM) card, and alocal buffer circuit. It will be apparent to a person of ordinary skill in the art that the communication interface 204 may include any device and / or apparatus capable of providing wireless or wired communications between the server 116 and various other entities of the system 200.

[0065] In some aspects of the present disclosure, the server 116 may be coupled to the external database 214 that provides data storage space to the server 116. The external database 214 may store information related to configuration parameters, details related to FWA cell 104 and the CPE 106 and other relevant information needed for the operation of the server 116. The external database 214 may correspond to a centralized database system configured to store and manage structured data, such as network-related data and configurations. The database 214 may be a relational database organizing related data such as in a table, or a nonrelational database organizing graphical and time series data.

[0066] The processor 206 may include one or more general purpose processors and / or one or more special purpose processors, a microprocessor, a digital signal processor, an application specific integrated circuit, a microcontroller, a state machine, or ay any type of programmable logic array. The processor 206 may include may include an intelligent hardware device including a general -purpose processor, such as, for example, and without limitation, a Central Processing Unit (CPU), an Application Processor (AP), a dedicated processor, or the like, a graphics- only processing unit such as a Graphics Processing Unit (GPU), a microcontroller, a Field-Programmable Gate Array (FPGA), a programmable logic device, a discrete hardware component, or any combination thereof. The processor 206 may be configured to execute computer-readable instructions stored in the memory 210 to cause the server 116 to perform various functions.

[0067] The memory 210 may further include, but not limited to, non -transitory machine-readable storage devices such as hard drives, magnetic tape, floppy diskettes, optical disks, compact disc read-Only Memories (CD-ROMs), and magneto-optical disks, semiconductor memories, such as ROMs, RAMS,programmable read-only memories PROMs), erasable PROMs (EPROMs), electrically erasable PROMs (EEPROMs), flash memory, magnetic or optical cards, or other type of media / machine-readable medium suitable for storing electronic instructions.

[0068] In addition, the memory may, in some examples, be considered a non- transitory storage medium. The "non-transitory" storage medium is not embodied in a carrier wave or a propagated signal. However, the term "non-transitory" should not be interpreted as the memory is non-movable. In some examples, the memory may be configured to store larger amounts of information. In certain examples, a non-transitory storage medium may store data that can, over time, change (e.g., in Random Access Memory (RAM) or cache). The memory may be an internal storage unit or an external storage unit of the server, cloud storage, or any other type of external storage.

[0069] FIG. 2 shows only one BS 102, one FWA cell 104, one CPE 106, one AP 108, and one UE 110 to simplify the illustration as each BS among the one or more BSs 102-1 to 102 -N have same or similar configuration, each FWA cell among the one or more FWA cells 104-1 to 104-N have same or similar configuration, each CPE among the one or more CPEs 106-1 to 106-N have same or similar configuration, each AP among the one or more APs 108-1 to 108-N have same or similar configuration, and each user equipment among the one or more UEs 110-1 to 110-N have same or similar configuration.

[0070] Although FIG. 1 and FIG. 2 illustrate one example of the environment of the wireless communication network 100 and the system 200, various changes may be made to FIG. 1 and FIG. 2. For example, the system 200 may include any number of user devices in any suitable arrangement. Further, in another example, the server 116 may include any number of components in addition to the components shown in FIG. 2. Further, various components in FIG. 1 and FIG. 2 may be combined, further subdivided, or omitted and additional components may be added according to particular needs.

[0071] FIG. 3 illustrates a functional block diagram 300 of one or more modules 208 of the processor 206 of the system 200, in accordance with an embodiment of the present disclosure. The one or more modules 208 may comprise a reception module 302, an identification module 304, a determination module 306, a processing module 308, a display analytics module 310, and a transmission module 312. In an embodiment, the one or more modules 208 may be combined to a single module or each module of the one or more modules 208 may be further subdivided into different modules with divided responsibilities.

[0072] In one embodiment, the reception module 302 may be configured to obtain, the crowd-sourced data associated with the FWA cell 104 from the database 214. The identification module 304 may be configured to identify the number of CPEs 106-1 to 106-N attached to the FWA cell 104 based on the crowd-sourced data. The crowd-sourced data may comprise the TAC of the IMEI number of each of the number of CPEs 106-1 to 106-N latched to the FWA cell 104. The identification module 304 may be configured to identify the number of CPEs 106-1 to 106-N latched attached to the FWA cell 104 using the TAC of the IMEI number of the CPEs 106-1 to 106-N latched to the FWA cell 104 latched to a particular NCGI.

[0073] In some embodiments, the reception module 302 may receive one or more Key Performance Indicators (KPIs) from the NMS 202 to monitor the FWA cell 104. The processing module 308 may be configured to monitor the one or more KPIs of the FWA cell 104 based on a determination that the number of CPEs 106-1 to 106- N attached to the FWA cell 104 is greater than a threshold number. The one or more KPIs may include at least one of bandwidth, Reference Signal Strength Indicator (RS SI), Reference Signal Received Power (RSRP), Reference Signal Received Quality (RSRQ), Signal-to-Interference-Plus-Noise Ratio (SINR), Channel Quality Indicator (CQI), network availability, uplink throughput, downlink throughput, network payload, session setup success rate, session drop rate, or downlink average utilization. The display analytics module 310 may be configured to display the monitored KPIs of the FWA cell 104 on a map layer.

[0074] Further, the determination module 306 may determine whether the number of CPEs 106-1 to 106-N attached to the FWA cell 104 is greater than the threshold number. The determination module 306 may compare the number of CPEs 106-1 to 106-N attached to the FWA cell 104 with the threshold number. The determination module 306 may determine that the number of CPEs 106-1 to 106-N attached to the FWA cell 104 is greater than the threshold number based on the comparison. The threshold number may correspond to a maximum attachable limit of the FWA cell 104. The maximum attachable limit may be calculated based on the serving capacity of the FWA cell 104. The threshold number may denote a latched number of CPEs 106-1 to 106-N to the FWA cell 104. The latched number may be determined on the basis of CPE planning. In a non-limiting example, the maximum attachable limit of the one or more CPEs 106-1 to 106-N with the FWA cell 104 is 20. The latched CPE planning may depend on user requirement in a specific area. The number of CPEs 106-1 to 106-N attached to the FWA cell 104 greater than the threshold number may indicate violation of the maximum attachable limit.

[0075] When the number of CPEs 106-1 to 106-N attached to the FWA cell 104 violates the maximum attachable limit, the processing module 308 may monitor the performance of the FWA cell 104 based on the one or more KPIs. As the maximum attachable limit of the FWA cell 104 is violated, the FWA cell 104 may become a poor performing FWA cell 104. The transmission module 312 may forward the one or more KPIs of the poor performing FWA cell 104 to the NMS 202 for taking remedial action to improve the performance of the FWA cell 104.

[0076] In some embodiments, the transmission module 312 may forward the one of more KPIs of the FWA cell 104 to the user device. A network administrator of the user device may visualize the one of more KPIs of the FWA cell 104 on the map layer displayed on the UI of the user device.

[0077] FIG. 4 illustrates a process flow diagram depicting a method 400 for monitoring performance of the FWA cell 104 in the wireless communication network 100, in accordance with an embodiment of the present disclosure. Themethod 400 comprises a series of operation steps indicated by blocks 402 through 412.

[0078] At block 402, the processor 206 may associate or attach the one or more CPEs 106-1 to 106-N to the FWA cell 104.

[0079] At block 404, the processor 206 may obtain details of the one or more CPEs 106-1 to 106-N from the database 214. The database 214 may serve as a master database comprising information of each CPE 106 latched to the FWA cell 104. Each CPE 106 may be specifically identified by the TAC of the IMEI number, latched to a particular Network Cell Group Identifier (NCGI). The processor 206 may identify the one or more CPEs 106-1 to 106-N associated with the FWA cell 104 using the identified details.

[0080] In some aspects of the present disclosure, the processor 206 may obtain information of the one or more CPEs 106-1 to 106-N attached to the FWA cell 104 from the database 214. The database 214 stores the crowd-sourced data which include the information of the one or more CPEs 106-1 to 106-N. The information of the one or more CPEs 106-1 to 106-N may comprise the IMEI number of each of the CPEs 106-1 to 106-N latched to the particular NCGI. The IMEI number of the each of the CPEs 106-1 to 106-N may be obtained during initial registration of each CPE 106 in the network 114. The TAC of the IMEI number of the CPE 106 may be used to uniquely identify the CPE 106 based on at least one of a make, a model, and a manufacturer of the CPE 106. The details of each CPE 106 may be stored in the database 214.

[0081] In some aspects of the present disclosure, the processor 206 may obtain from the database 214, the crowd-sourced data associated with the FWA cell 104. The crowd-sourced data may comprise the TAC of the IMEI number of each of the CPEs 106-1 to 106-N latched to the FWA cell 104. Further, the processor 206 may identify the number of CPEs 106-1 to 106-N attached to the FWA cell 104 using the TAC of the IMEI number of the CPEs 106-1 to 106-N latched to the FWA cell 104.

[0082] At block 406, the processor 206 may determine whether the number of CPEs 106-1 to 106-N attached to the FWA cell 104 is greater than the threshold number.

[0083] In some aspects of the present disclosure, the threshold number may correspond to the maximum attachable limit of the one or more CPEs 106-1 to 106- N with the FWA cell 104. The processor 206 may compare the number of CPEs 106- 1 to 106-N attached to the FWA cell 104 with the threshold number. In a non-limiting example, if the threshold number of a particular FWA cell 104 is 20 and the number of the CPEs 106-1 to 106-N attached to the FWA cell 104 is 25, then the processor 206 may determine that the number of CPEs 106-1 to 106-N attached to the FWA cell 104 is greater than the threshold number based on the comparison. Then the processor 206 may intend to monitor the one or more KPIs of the FWA cell 104 to determine the poor performing FWA cell 104 in the wireless communication network 100.

[0084] At block 408, the processor 206 may acquire from the database 214, performance metrics data comprising the one or more KPIs of the FWA cell 104. If the one or more CPEs 106-1 to 106-N associated with the FWA cell 104 violates the maximum attachable limit of the FWA cell 104, then the flow of the method 400 proceeds to block 410.

[0085] At block 410, the processor 206 may monitor one or more KPIs of the FWA cell 104 based on a result of the determination that the number of CPEs 106-1 to 106-N attached to the FWA cell 104 is greater than the threshold number. The performance of the FWA cell 104 may be monitored based on the number of one or more CPEs 106-1 to 106-N latched to the FWA cell 104 and monitoring the one or more KPIs of the FWA cell 104.

[0086] At block 412, the processor 206 may display the monitored KPIs of the FWA cell 104 on the map layer. The map layer may display a location of the poor performing FWA cell 104 and the monitored KPIs as an index. Visualizing the poor performing FWA cell 104 on the map layer may provide better insights to the network administrator.

[0087] In some aspects of the present disclosure, the prescribed range of the SINK may be -5 dB to 30 dB, with higher values indicating better signal quality. The prescribed range of the RSRP may be -140 dBm to -44 dBm, with higher values indicating stronger signals. The prescribed range of the RSRQ may be -19.5 dB to - 3 dB, with higher values indicating better signal quality. The prescribed range of the RSSI may be -100 dBm to 0 dBm, with higher values indicating stronger signals. In a non-limiting example, the monitored KPIs of the FWA cell 104-1 to 104-4 may be illustrated using Table 1 :Table 1 : Values of one or more KPIs of the FWA cell 104

[0088] As illustrated in the table 1, the values of the one or more KPIs such as the SINR, the RSRP, the RSRQ, and the RSSI of the FWA cell 104-4 is more violating from the prescribed range and the FWA cell 104-4 may be regarded as the poor performing FWA cell 104. As the number of the CPEs attached to the FWA cell 104 increases, the FWA cell 104 may become the poor performing FWA cell.

[0089] In a non-limiting example, the processor 206 may display the monitored KPIs of the FWA cell 104-4 on the map layer. The location of the FWA cell 104-4 may be viewed on the map layer. The FWA cell 104-4 may be viewed as an icon or a shape on the map layer. When a network administrator clicks on the icon or the shape displayed on the map layer, the location of the FWA cell 104-4 may be obtained based on latitude and longitude coordinates of the FWA cell 104. The location of the FWA cell 104 may be stored in the database 214. The icon or the shape may also be integrated to the index of one or more records stored in thedatabase 214. The one or more records may comprise the monitored KPIs of the FWA cell 104-4. When the network administrator clicks on the icon or the shape, the index of the one or more records comprising the monitored KPIs may displayed on the map layer.

[0090] In some aspects of the present disclosure, the processor 206 may forward the one or more KPIs of the poor performing FWA cell 104 to the NMS 202 for taking remedial action to improve the performance of the FWA cell 104. The network administrator may view the one or more FWA cells 104-1 to 104-4 along with the values of the corresponding one or more KPIs of the one or more FWA cells 104-1 to 104-4 on the map layer. The NMS 202 may take remedial actions such as (not limited to) reducing the number of CPEs 106-1 to 106-N attached to the FWA cell 104, increasing the maximum attachable limit of the FWA cell 104, adjusting antenna parameters, and increasing the serving cell capacity.

[0091] In some embodiments, the UI may also display the number of the CPEs 106- 1 to 106-N attached to the FWA cell 104, a duration of connection with each of the CPE 106, channel utilization, bandwidth usage, etc.

[0092] FIG. 5 illustrates a process flow diagram depicting a method 500 for monitoring performance of the FWA cell 104 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 506.

[0093] At block 502, the identification module 304 may be configured to identify the number of wireless devices or the one or more CPEs 106-1 to 106-N attached to the FWA cell 104 based on the crowd-sourced data.

[0094] At block 504, the processing module 308 may be configured to monitor the one or more KPIs of the FWA cell 104 based on a determination that the number of CPEs 106-1 to 106-N attached to the FWA cell 104 is greater than the threshold number.

[0095] At block 506, the display analytics module 310 may be configured to display the monitored KPIs of the FWA cell 104 on a map layer.

[0096] In some aspects of the present disclosure, the reception module 302 may be configured to obtain, from the database 214, the crowd-sourced data associated with the FWA cell 104. The crowd-sourced data may comprise the TAC of the IMEI number of each of the CPE 106 latched to the FWA cell 104.

[0097] Further, the identification module 304 may be configured to identify the number of CPEs 106-1 to 106-N attached to the FWA cell 104 using the TAC of the IMEI number of the CPEs 106-1 to 106-N latched to the FWA cell.

[0098] In some aspects of the present disclosure, the determination module 306 may be configured to compare the number of CPEs 106-1 to 106-N attached to the FWA cell 104 with the threshold number and determine that the number of CPEs 106-1 to 106-N attached to the FWA cell 104 is greater than the threshold number based on the comparison.

[0099] FIG. 6 illustrates a schematic block diagram of a computing system 600 for monitoring performance of the FWA cell 104 in the wireless communication network 100, in accordance with an embodiment of the present disclosure.

[0100] The computing system 600 includes a network 602, a network interface 604, a processor 606 (similar in functionality to the processor 206 of FIG. 2), an Input / Output (I / O) interface 608 (similar in functionality to the communication interface 204 of FIG. 2), and a non-transitory computer readable storage medium 610 (hereinafter may also be referred to as the “storage medium610” or the “storage media610”). 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-854 (IEEE-854).

[0101] 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 300 to perform various functions disclosed throughput the disclosure.

[0102] 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.

[0103] 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, andcombinations 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.

[0104] 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 210 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).

[0105] 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 206 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

[0106] 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 automating identification of the number of CPEs latched to the FWA cells and monitoring the KPIs of the FWA cells based on the number of CPEs latched on a daily basis, thus provides an advantage of proactive network maintenance. The proactive approach may allow network operators toT1 identify potential performance degradation or anomalies, thereby allowing for timely intervention and remediation to prevent service disruptions and maintain a high-quality user experience.

[0107] Another potential advantage of the embodiments disclosed herein include, but not limited to, easy identification of the poor performing FWA cells on a daily basis may help the network service providers to improve overall network performance. Also, by identifying and addressing underperforming cells promptly may help the network service providers to mitigate issues such as congestion, interference, and capacity limitations, thereby ensuring optimal service delivery to users. Also, this may enable the network operators to optimize resource allocation and network management efforts more effectively. Resources such as spectrum allocation, backhaul capacity, and network infrastructure investments may be strategically deployed to address identified issues and improve overall network efficiency and reliability.

[0108] Further, by identifying and resolving the poor performing FWA cells promptly may contribute to improved customer satisfaction as end users experience fewer service interruptions, faster data speeds, and enhanced reliability, leading to higher levels of customer loyalty and retention. The identification of poor performing FWA cells may align with regulatory requirements and industry best practices for network performance monitoring and optimization. By demonstrating proactive measures to maintain network quality, the network operators may ensure compliance with regulatory standards and avoid potential penalties or sanctions.

[0109] 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 disclosure. The above-described embodiments are therefore to be construed in all aspects as illustrative and not restrictive.

[0110] The drawings and the forgoing description give examples of embodiments. Those skilled in the art will appreciate that one or more of the described elements may well be combined into a single functional element. Alternatively, certain elements may be split into multiple functional elements. Elements from one embodiment may be added to another embodiment. For example, orders of processes described herein may be changed and are not limited to the manner described herein. Any combination of the above features and functionalities may be used in accordance with one or more embodiments.

[0111] 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

[0112] 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 environment102 / 102-1 to 102-N - One or more Base Stations (BSs)104 / 104-1 to 104-N - One or more Fixed Wireless Access (FWA) cells106 / 106-1 to 106-N - One or more Customer Premise Equipment (CPEs)108 / 108-1 to 108-N - One or more Access Points (APs)110 / 110-1 to 110-N - One or more User Equipment (UEs)112-1 to 112-N - Coverage region114 - Network116 - Server200 - System for monitoring performance of the FWA cell 104202 - Network Management System (NMS)204 - Communication interface of the server 116206 - Processor of the server 116208 - One or more modules of the processor 206210 - Memory of the server 116212 - Server database214 - External database300 - Functional block diagram of one or more modules 208302 - Reception module304 - Identification module306 - Determination module308 - Processing module310 - Display analytics module312 - Transmission module400 - Method for monitoring one or more Key Performance Indicators (KPIs) of the FWA cell 104402-412 - Operation steps of the method 400500 - Method for monitoring performance of the FWA cell 104502-506 - Operation steps of the method 500600 - Block diagram of a computing system602 - Network604 - Network interface606 - Processor608 - Input / Output (I / O) interface610 - Non-transitory computer readable storage medium 610-1 - Set of instructions.

Claims

1. We Claim:

1. A method (500) for monitoring performance of a Fixed Wireless Access (FWA) cell (104) in a wireless communication network (100), the method (500) comprising: identifying (502), by an identification module (304), a number of wireless devices attached to the FWA cell (104) based on a crowd-sourced data; monitoring (504), by a processing module (308), one or more Key Performance Indicators (KPIs) of the FWA cell (104) based on a determination that the number of wireless devices attached to the FWA cell (104) is greater than a threshold number; and displaying (506), by a display analytics module (310), the monitored KPIs of the FWA cell (104) on a map layer.

2. The method (500) as claimed in claim 1, wherein, for identifying the number of wireless devices attached to the FWA cell (104), the method (500) comprises: obtaining, by a reception module (302) from a database (214), the crowdsourced data associated with the FWA cell (104), wherein the crowd-sourced data comprises a Type Allocation Code (TAC) of an International Mobile Equipment Identity (IMEI) number of each of the wireless devices latched to the FWA cell (104); and identifying, by the identification module (304), the number of wireless devices attached to the FWA cell (104) using the TAC of the IMEI number of the wireless devices latched to the FWA cell (104).

3. The method (500) as claimed in claim 1, further comprising: comparing, by a determination module (306), the number of wireless devices attached to the FWA cell (104) with the threshold number; and determining, by the determination module (306), that the number of wireless devices attached to the FWA cell (104) is greater than the threshold number based on the comparison.

4. The method (500) as claimed in claim 1, wherein the one or more KPIs includes at least one of bandwidth, Reference Signal Strength Indicator (RS SI), Reference Signal Received Power (RSRP), Reference Signal Received Quality (RSRQ), Signal-to-Interference-Plus-Noise Ratio (SINR), Channel Quality Indicator (CQI), network availability, uplink throughput, downlink throughput, network payload, session setup success rate, session drop rate, or downlink average utilization.

5. A system (200) for monitoring performance of a Fixed Wireless Access (FWA) cell (104) in a wireless communication network, the system comprising: an identification module (304) configured to identify a number of wireless devices attached to the FWA cell (104) based on a crowd-sourced data; a processing module (308) configured to monitor one or more Key Performance Indicators (KPIs) of the FWA cell (104) based on a determination that the number of wireless devices attached to the FWA cell (104) is greater than a threshold number; and a display analytics module (310) configured to display the monitored KPIs of the FWA cell on a map layer.

6. The system (200) as claimed in claim 5, further comprises: a reception module (302) configured to obtain, from a database, the crowdsourced data associated with the FWA cell (104), wherein the crowd-sourced data comprises a Type Allocation Code (TAC) of an International Mobile Equipment Identity (IMEI) number of each of the wireless devices latched to the FWA cell (104); and the identification module (304) is further configured to identify the number of wireless devices attached to the FWA cell (104) using the TAC of the IMEI number of the wireless devices latched to the FWA cell.

7. The system (200) as claimed in claim 5, further comprises a determination module (306) configured to: compare the number of wireless devices attached to the FWA cell (104) with the threshold number; and determine that the number of wireless devices attached to the FWA cell (104) is greater than the threshold number based on the comparison.

8. The system (200) as claimed in claim 5, wherein the one or more KPIs includes at least one of bandwidth, Reference Signal Strength Indicator (RS SI), Reference Signal Received Power (RSRP), Reference Signal Received Quality (RSRQ), Signal-to-Interference-Plus-Noise Ratio (SINR), Channel Quality Indicator (CQI), network availability, uplink throughput, downlink throughput, network payload, session setup success rate, session drop rate, or downlink average utilization.

9. 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: identifying a number of wireless devices attached to a Fixed Wireless Access (FWA) cell (104) based on a crowd-sourced data; monitoring one or more Key Performance Indicators (KPIs) of the FWA cell (104) based on a determination that the number of wireless devices attached to the FWA cell (104) is greater than a threshold number; and displaying the monitored KPIs of the FWA cell (104) on a map layer.

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