System and method for redirecting connection of a customer premises equipment to a dominant cell

Abstract

A method (400) is disclosed for redirecting the connection of a Customer Premises Equipment (CPE) to a dominant cell within a communication network. The method 5 first identifies one or more active CPEs from a plurality of CPEs (106-1 to 106-N). Crowd-sourced data is then acquired from one or more serving cells associated with the identified active CPEs. For each active CPE, the method involves determining whether the corresponding CPE is experiencing a performance issue. Based on this determination, a set of CPEs is identified for which the dominant cell differs from 10 the currently serving cell. Subsequently, the method redirects the connection of each CPE in the identified set to the dominant cell, provided that the dominant cell exhibits a performance level exceeding a predefined threshold.

Description

SYSTEM AND METHOD FOR REDIRECTING CONNECTION OF A CUSTOMER PREMISES EQUIPMENT TO A DOMINANT CELLTECHNICAL FIELD

[0001] The embodiments of the present disclosure generally relate to the field of communication networks and systems. More particularly, the present disclosure relates to a system and a method for redirecting a connection of a Customer Premises Equipment (CPE) to a dominant cell in a communication network.BACKGROUND OF THE INVENTION

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

[0003] With recent advancements in telecommunication networks, migration of end users from one network type to another network type has 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) Customer Premises Equipment (CPE). The FWA-CPEs provide different services to end user devices in different Radio Frequency (RF) environments. Each user device among the end user devices communicates wirelessly with a Base Station (BS) via an FWA- CPE. The FWA-CPEs help in network expansion and improve the performance of the network by providing high speed data services.

[0004] Connecting the FWA-CPEs to an optimal cell in the communication network is crucial for ensuring optimal performance and user experience. Connection of the FWA-CPEs to the optimal cell provides best signal strength, low latency, and highdownlink data throughput, which impacts the reliability of the connection with the end user devices.

[0005] In conventional systems, the optimal cell selection is achieved based on signal strength. The FWA-CPEs scans the available cell and determines the optimal cell based on the signal strength and network load.

[0006] However, when the selected cell is either not nearby the server or not in line of sight of the FWA-CPEs, the signal reaches to the receiver of the FWA-CPEs as over shooter or after a reflection or diffraction, causing performance issue to the users under those FWA-CPEs. Further, connecting a large number of FWA-CPEs to a cell leads to congestion, which in turn leads to reduced data speeds, packet loss, and interference that degrades signal quality and further results in dropped connections and poor service reliability. Also, the conventional systems do not dynamically redirect the FWA-CPEs to the optimal cell based on real-time or crowdsourced signal intelligence.

[0007] In light of the aforementioned challenges, there is a need for a solution that can address the issue of redirecting a connection of a Customer Premises Equipment (CPE) to a dominant cell effectively and efficiently.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 redirecting a connection of a Customer Premises Equipment (CPE) to a dominant cell is disclosed. The method includes identifying, by an identification module, one or more CPEs among a plurality of CPEs having a status as active. The method further includes acquiring, by anacquisition module, crowd source data from one or more serving cells of the one or more CPEs. Further, the method includes determining, by a determination module based on the crowd source data, for each active CPE among the one or more CPEs, whether a corresponding CPE has a performance issue. Furthermore, the method includes identifying, by the identification module, among the one or more CPEs having the performance issue, a set of CPEs for which the dominant cell is different from a serving cell among the one or more serving cells. Thereafter, the method includes redirecting, by the determination module, the connection of each CPE among the set of CPEs to the dominant cell for which a performance of the dominant cell is above a threshold performance level.

[0010] According to some aspect of the present disclosure, the crowd source data includes Key Performance Indicators (KPIs) of the one or more serving cells serving to the one or more CPEs and KPIs associated with the one or more CPEs. The KPIs of the one or more serving cells include Reference Signal Received Power (RSRP), Reference Signal Received Quality (RSRQ), and Signal-to-Interference-plus-Noise Ratio (SINR) associated with the one or more serving cells.

[0011] According to some aspect of the present disclosure, for determining, for each active CPE among the one or more CPEs, whether the corresponding CPE has the performance issue, the method includes determining, by the determination module, whether a value of a Downlink (DL) throughput included in the KPIs associated with the one or more CPEs is less than a threshold throughput. The method further includes determining, by the determination module, whether M days average of KPIs of the serving cell is greater than a first threshold KPI. Further, the method includes determining, by the determination module, whether at least one KPI among the KPIs associated with the one or more CPEs is less than a second threshold KPI for N days among last P days.

[0012] According to some aspect of the present disclosure, the corresponding CPE has the performance issue if the value of the DL throughput included in the KPIs associated with the one or more CPEs is less than the threshold throughput, the Mdays average of KPIs of the serving cell is greater than the first threshold KPI, and the at least one KPI among the KPIs associated with the one or more CPEs is less than the second threshold KPI for N days among last P days.

[0013] According to some aspect of the present disclosure, the identification of the set of CPEs is based on location information of the one or more CPEs included in the crowd source data.

[0014] According to some aspect of the present disclosure, the method further includes determining, by the determination module for each CPE among the set of CPEs, whether the performance of the dominant cell is above the threshold performance level based on the crowd source data associated with the set of CPEs.

[0015] According to some aspect of the present disclosure, for determining, for each CPE among the set of CPEs, whether the performance of the dominant cell is above the threshold performance level, the method includes determining, by the determination module, whether an average of Key Performance Indicators (KPIs) of the dominant cell for last Q days is greater than a third threshold KPI. Further, the method includes determining, by the determination module, that the performance of the dominant cell is above the threshold performance level if the average of KPIs of the dominant cell for the last Q days is greater than the third threshold KPI.

[0016] According to some aspect of the present disclosure, the redirecting the connection of each CPE among the set of CPEs to the dominant cell is further based on a determination that a corresponding CPE is within a beam width of the dominant cell and a number of CPEs latched to the dominant cell is less than a threshold value.

[0017] According to another aspect of the present disclosure, a system for redirecting a connection of a Customer Premises Equipment (CPE) to a dominant cell is disclosed. The system includes an identification module configured to identify one or more CPEs among a plurality of CPEs having a status as active. Further, the system includes an acquisition module configured to acquire crowdsource data from one or more serving cells of the one or more CPEs. Furthermore, the system includes a determination module configured to determine, based on the crowd source data, for each active CPE among the one or more CPEs, whether a corresponding CPE has a performance issue. The identification module is further configured to identify, among the one or more CPEs having the performance issue, a set of CPEs for which the dominant cell is different from a serving cell among the one or more serving cells. The determination module is further configured to redirect, the connection of each CPE among the set of CPEs to the dominant cell for which a performance of the dominant cell is above a threshold performance level.BRIEF DESCRIPTION OF DRAWINGS

[0018] Various embodiments disclosed herein will become better understood from the following detailed description when read with the accompanying drawings. The accompanying drawings constitute a part of the present disclosure and illustrate certain non-limiting embodiments of inventive concepts. Further, components and elements shown in the drawings are not necessarily to scale, emphasis instead being placed upon clearly illustrating the principles of the present disclosure. For the purpose of consistency and ease of understanding, similar components and elements are annotated by reference numerals in the exemplary drawings.

[0019] FIG. 1 illustrates an exemplary environment of a wireless communication network, in accordance with an embodiment of the present disclosure.

[0020] FIG. 2 illustrates a block diagram of a system for redirecting a connection of a Customer Premises Equipment (CPE) to a dominant cell in the wireless communication network, in accordance with an embodiment of the present disclosure.

[0021] FIG. 3 illustrates a detailed flow diagram of a method for redirecting the connection of the CPE to the dominant cell, in accordance with an embodiment of the present disclosure.

[0022] FIG. 4 illustrates a flowchart of a method for redirecting the connection of the CPE to the dominant cell, in accordance with an embodiment of the present disclosure.

[0023] FIG. 5 illustrates a schematic block diagram of a computing system for redirecting the connection of the CPE to the dominant cell, in accordance with an embodiment of the present disclosure.DETAILED DESCRIPTION OF THE INVENTION

[0024] 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.

[0025] 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.

[0026] The following description contains specific information pertaining to embodiments in the present disclosure. The detailed description uses the phrases “in some embodiments” or “some implementations” which may each refer to one ormore or all of the same or different embodiments or implementations. The term “some” as used herein is defined as “one, or more than one, or all.” Accordingly, the terms “one,” “more than one,” “more than one, but not all” or “all” would all fall under the definition of “some.” In view of the same, the terms, for example, “in an embodiment” or “in an implementation” refers to one embodiment or one implementation and the term, for example, “in one or more embodiments” refers to “at least one embodiment, or more than one embodiment, or all embodiments ”. Further, the term, for example, “in one or more implementations” refers to “at least one implementation, or more than one implementation, or all implementations.

[0027] 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.”

[0028] 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.

[0029] 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, itmay be understood by one of the ordinary skilled in the art that the embodiments disclosed herein may be practiced without these specific details.

[0030] The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the disclosure. As used herein the description, the singular forms "a", "an", and "the" include plural forms unless the context of the invention indicates otherwise.

[0031] 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.

[0032] An aspect of the present disclosure is to provide a system and a method for redirecting a connection of a Customer Premises Equipment (CPE) to a dominant cell.

[0033] Another aspect of the present disclosure is to identify CPEs having serving cell which all are either not nearby the CPEs or not in line of sight of the CPEs, so the signals are reaching to receivers of CPEs as over shooter or after a reflection, thereby causing performance issue to users under that CPE.

[0034] Another aspect of the present disclosure is to provide a system and a method for identifying the dominant cell for each of the CPEs that have the performance issue and redirecting the connection of the CPEs to the dominant cell, thereby improving user experience under the CPE.

[0035] The term “Trace data” in the entire disclosure may represent log of detailed data of a user device (or the CPE) at call level. The trace data is an additional source of information to performance measurements and allows going further in monitoring and optimization operations.

[0036] The term “crowd source data” in the entire disclosure may refer to a log of detailed data that includes trace data and data associated with one or more serving cells of the network. The data associated with the one or more serving cells includes Key Performance Indicators (KPIs) of the one or more serving cells. The crowd source 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 crowdsourced data to identify dominant cells at locations of the CPEs and also performance of each of the one or more serving cells and the dominant cells.

[0037] The term “CPE” in the entire disclosure may refer to a telecommunication and equipment installed at a location of a customer or a subscriber. Each CPE may be specifically identified by an International Mobile Equipment Identity (IMEI) number, latched to a particular Network Cell Group Identifier (NCGI).

[0038] The term “KPI” refers to quantitative metrics used to evaluate network and device performance, such as downlink throughput, Reference Signal Received Power (RSRP), Signal-to-Interference-plus-Noise Ratio (SINR), Received Signal Strength Indicator (RSSI), and Reference Signal Received Quality (RSRQ).

[0039] The term “Reference Signal Received Power (RSRP)” in the entire disclosure may represent a measurement of a received signal strength of the reference signals transmitted by a cell tower or a base station to the UE in the network.

[0040] The term “Received Signal Strength Indicator (RSSI)” is a measurement of total received power observed by the UE over a specific bandwidth. The measurement includes the power of a desired signal, interference, and noise. RSSI is used as an indicator of signal strength in conjunction with performance metrics like RSRP and Reference Signal Receive Quality (RSRQ).

[0041] The term “RSRQ” is a quality metric represented as a ratio of the RSRP to the total RS SI in a measured bandwidth. In particular, the RSRQ indicates a quality of the signal relative to interference and noise.

[0042] The term “Signal-to-Interference-plus-Noise Ratio (SINR)” refers to a fundamental metric in wireless communication. The measurement indicates the RF channel quality. In particular, SINR refers to a ratio between the received power and the interference (plus noise).

[0043] The term “dominant cell” for an area / a CPE may refer to a cell among the plurality of cells that provides strongest and a consistent signal coverage within the area of the CPE. The dominant cell offers highest average SINR within the area of the CPE, making the area most favorable for user connectively. The dominant cell is typically identified based on KPIs such as SINR, RSRP, or throughput. The dominant cell is also a preferred serving cell for the CPE, as it provides most efficient communication link under typical network conditions.

[0044] The term “serving cell” for the CPE may refer to a cell among the plurality of cells that is currently serving to the CPE. The serving cell may or may not be the dominant cell.

[0045] The term “downlink throughput” in the entire disclosure may refer to a rate at which data is received at a user device (for example, mobile device or CPE) from a network over a period of time.

[0046] The term “beam width of a cell” may refer to an angular spread of radio signals transmitted by the cell within the network.

[0047] Embodiments of the present disclosure will be described below in detail with reference to the accompanying drawings. FIG. 1 and FIG. 5, 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 thatthe principles of the present disclosure may be implemented in any suitably arranged system or device.

[0048] FIG. 1 illustrates an exemplary environment of a wireless communication network 100, in accordance with an embodiment of the present disclosure. The embodiment of the wireless communication network 100 shown in FIG. 1 is for illustration only. Other embodiments of the wireless communication network 100 may be used without departing from the scope of this disclosure.

[0049] As shown in FIG. 1, the wireless communication network 100 may include a plurality of Base Stations (BSs) 102-1 to 102-N (hereinafter referred to as “BSs 102-1 to 102-N”). It is to be noted that the “BSs 102-1 to 102-N” may also be referred to as “one or more cells 102-1 to 102-N” or “cells 102-1 to 102-N” interchangeably throughout this disclosure without departing from the scope of the invention. Each base station among the BSs 102-1 to 102-N may have same or similar configuration and may also be referred to as “BS 102”. Typically, the BSs 102-1 to 102-N may be a network infrastructure that provides wireless access to one or more terminals. The BSs 102-1 to 102-N has coverage region defined to be a predetermined geographic area based on the distance over which a signal may be transmitted. Further, the “base station” may also be referred to as “access point (AP)”, “evolved NodeB (eNodeB) (eNB)”, “5G node (5th generation node)”, “wireless point”, “transmission / reception point (TRP)”, “Radio Access Network (RAN)” or other terms having equivalent technical meanings.

[0050] The BSs 102-1 to 102-N serve a plurality User Equipment (UEs) 104-1 to 104-N (hereinafter referred to as UEs 104-1 to 104-N) in the coverage region of the BSs 102-1 to 102-N. Each UE among the UEs 104-1 to 104-N may have same or similar configuration and may also be referred to as “UE 104”. Typically, the term “user equipment” can refer to any component such as “mobile station”, “subscriber station”, “remote terminal”, “wireless terminal”, “receive point”, “end user device”, or the like.

[0051] The BSs 102-1 to 102-N are connected to a network 108 to provide one or more services to the UEs 104-1 to 104-N via Fixed Wireless Access (FWA) Customer Premises Equipment (CPEs) 106-1 to 106-N (hereinafter referred to as “CPEs 106-1 to 106-N”). The network 108 is connected to a server 110 for performing data processing and data storing operations. The network 108 may include a proprietary Internet Protocol (IP) network, Internet, or other data network. In some embodiments, the BSs 102-1 to 102-N may communicate with each other and with the UEs 104-1 to 104-N using a communication technique, such as a 5thGeneration 5G / New Radio (NR), Long Term Evolution (LTE), Long Term Evolution Advanced (LTE-A), Worldwide Interoperability for Microwave Access (WiMAX), Wireless Fidelity (Wi-Fi), or other wireless communication techniques.

[0052] The CPEs 106-1 to 106-N may be installed on a customer premises, such as outside a building or inside a building. The CPEs 106-1 to 106-N may be configured to attach and communicate with the network 108 via the BSs 102-1 to 102-N. The network 108 may provide access to enable the CPEs 106-1 to 106-N to connect to the network service provider for mobile telephone service, Short Message Service (SMS) message service, Multimedia Message Service (MMS) message service, Internet access, cloud computing, and / or other types of data services.

[0053] The network 108 may include suitable logic, circuitry, and interfaces that may be configured to provide several network ports and several communication channels for transmission and reception of data related to operations of various entities of the wireless communication network 100. 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 108 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.

[0054] 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 108. 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.

[0055] The BSs 102-1 to 102-N also communicates with a server 110 configured to redirect the connection of each of the CPEs 106-1 to 106-N to a corresponding dominant cell if a corresponding CPE has a performance issue. The server 110 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 110 may include, but are not limited to, personal computers, laptops, minicomputers, mainframe computers, any non-transient and tangible machine that can execute a machine-readable code, cloud-based servers, distributed server networks, or a network of computer systems. The server 110 may be realized through various web-based technologies such as, but not limited to, a Java web -framework, a .NETframework, a personal home page (PHP) framework, or any web-application framework.

[0056] Extents of the coverage region are shown as approximately circular or elliptical for the purposes of illustration and explanation only. It should be clearly understood that the coverage region associated with the BSs 102-1 to 102-N may have other shapes, including irregular shapes, depending upon the configuration of the BSs 102-1 to 102-N, and variations in wireless communication network environment associated with natural and man-made obstructions.

[0057] Although FIG. 1 illustrates one example of the wireless communication network 100, various changes may be made to FIG. 1. For example, the wireless communication network 100 may include any number of BSs in any suitable arrangement. Further, each of the BSs 102-1 to 102-N may communicate directly with the server 110. Furthermore, the BSs 102-1 to 102-N may provide access to other or additional external networks, such as external telephone networks or other types of data networks.

[0058] FIG. 2 illustrates a block diagram of a system 200 for redirecting a connection of a CPE to a dominant cell in the wireless communication network 100, in accordance with an embodiment of the present disclosure. The embodiment of the system 200 as shown in FIG. 2 is for illustration only. However, the system 200 may come in a wide variety of configurations, and FIG. 2 does not limit the scope of the present disclosure to any particular implementation of the system 200.

[0059] As shown in FIG. 2, the system 200 includes the server 110 which includes an Input-Output (VO) interface 202, one or more processors 204 (hereinafter may also be referred to as “processor 204”), a memory 206, a network communication manager 208, a console host 210, a database 212, and one or more processing modules 214 (hereinafter may also be referred to as “processing modules 214”). Components of the server 110 are coupled to each other via a communication bus 222.

[0060] The I / O interface 202 may include suitable logic, circuitry, interfaces, and / or codes that may be configured to receive input(s) and present (or display) output(s) on the server 110. For example, the I / O interface 202 may have an input interface and an output interface. The input interface may be configured to enable a user to provide input(s) to trigger (or configure) the server 110 to perform various operations for redirecting a connection of the CPE among the CPEs 106-1 to 106-N to the corresponding dominant cell (or the dominant cell serving the CPE). Examples of the input interface may include, but are not limited to, a touch interface, a mouse, a keyboard, a motion recognition unit, a gesture recognition unit, a voice recognition unit, or the like. Aspects of the present disclosure are intended to include or otherwise cover any type of the input interface including known, related art, and / or later developed technologies without deviating from the scope of the present disclosure. The output interface is configured to display information associated with the dominant cell as an identified candidate serving cell for the CPE to the users. Examples of the output interface of the VO interface 202 may include, but are not limited to, a digital display, an analog display, a touch screen display, an appearance of a desktop, and / or illuminated characters.

[0061] The processor 204 may include various processing circuitry and communicates with the memory 206, the network communication manager 208, the console host 210, and the database 212 via the communication bus 222. The processor 204 is configured to execute instructions 206A (hereinafter also referred to as “a set of instructions 206A”) stored in the memory 206 and to perform various processes. The processor 204 may include one or a plurality of processors, including a general-purpose processor, such as, for example, and without limitation, a central processing unit (CPU), an application processor (AP), a dedicated processor, a graphics-only processing unit such as a graphics processing unit (GPU) or the like, a programmable logic device, or any combination thereof.

[0062] The memory 206 stores the set of instructions 206A required by the processor 204 of the server 110 for controlling its overall operations. The memory 206 may include non-volatile storage elements. Examples of such non-volatilestorage elements may include magnetic hard discs, optical discs, floppy discs, flash memories, or forms of electrically programmable memories (EPROM) or electrically erasable and programmable (EEPROM) memories. In addition, the memory 206 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 206 is non-movable. In some examples, the memory 206 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 206 may be an internal storage unit or an external storage unit of the server 110, cloud storage, or any other type of external storage. In certain examples, the memory 206 configured as the non-transitory storage medium may include hard drives, solid-state drives, flash drives, Compact Disk (CD), Digital Video Disk (DVD), and the like. Further, the memory 206 may include any type of non-transitory storage medium, without deviating from the scope of the present disclosure.

[0063] More specifically, the memory 206 may store computer-readable instructions 206A including instructions that, when executed by a processor (e.g., the processor 204) cause the server 110 to perform various functions described herein. In some cases, the memory 206 may contain, among other things, a BIOS which may control basic hardware or software operation such as the interaction with peripheral components or devices.

[0064] The network communication manager 208 may manage communications with the BSs 102-1 to 102-N, the core network, or the UEs 104-1 to 104-N (e.g., via one or more wired backhaul links). For example, the network communications manager 208 may manage the transfer of data communications for BSs 102-1 to 102-N and client devices. The network communication manager 208 may include an electronic circuit specific to a standard that enables wired or wireless communication. The network communication manager 208 is configured for communicating with external devices via one or more networks.

[0065] The console host 210 may include suitable logic, circuitry, interfaces, and / or codes that may be configured to enable the I / O interface 202 to receive input(s) and / or render output(s). In some aspects of the present disclosure, the console host 210 may include suitable logic, instructions, and / or codes for executing various operations of one or more computer executable applications to host a console on an external user device, by way of which a user can trigger the server 110 to receive the crowd source data and Key Performance Indicators (KPIs) associated with the BSs 102-1 to 102-N, and redirect the connection of the CPE to the dominant cell if the corresponding CPE has the performance issue. In some other aspects of the present disclosure, the console host 210 may provide a Graphical User Interface (GUI) for the server 110 for user interaction.

[0066] The database 212 is managed by the processor 204 and configured to store and manage CPE database report which includes mapping of the CPEs 106-1 to 106- N and cells serving to the CPEs 106-1 to 106-N. Further, the database 212 may store the collected crowd source data including details of the UEs 104-1 to 104-N, information about the BSs 102-1 to 102-N, and the session records.

[0067] The processing module(s) 214 may be implemented as a combination of hardware and programming (for example, programmable instructions) to implement one or more functionalities of the server 110. In non-limiting examples, described herein, such combinations of hardware and programming may be implemented in several different ways. For example, the programming for the processing modules(s) 214 may be processor-executable instructions stored on a non -transitory machine- readable storage medium and the hardware for the processor 204 may comprise a processing resource (for example, one or more processors), to execute such instructions. In the present examples, the machine-readable storage medium may store instructions that, when executed by the processing resource, implement the processing module(s) 214. In such examples, the server 110 may also comprise the machine-readable storage medium storing the instructions and the processing resource to execute the instructions, or the machine-readable storage medium may be separate but accessible to the server 110 and the processing resource. In otherexamples, the processing module(s) 214 may be implemented using an electronic circuitry.

[0068] In one or more embodiments, the processing module(s) 214 may include an identification module 216, an acquisition module 218, and a determination module 220. The one or more operations performed by the processing modules 214 of the server 110 are described in detail with description of FIG. 3.

[0069] Although FIG. 2 illustrates one example of the system 200 or server 110, various changes may be made to FIG. 2. Further, the server 110 may include any number of components in addition to those shown in FIG. 2, without deviating from the scope of the present disclosure. Further, various components in FIG. 2 may be combined, further subdivided, or omitted and additional components may be added according to particular needs. For example, in some aspects of the present disclosure, the server 110 may be coupled to an external database to provide data storage space to the server 110.

[0070] FIG. 3 illustrates a detailed flow diagram of a method 300 for redirecting the connection of the CPE to the dominant cell, in accordance with an embodiment of the present disclosure. The method 300 comprises a series of operation steps indicated by blocks 302 through 322. The method 300 starts at block 302.

[0071] At block 302, the processor 204, using the acquisition module 218, may acquire crowd source data from the BSs 102-1 to 102 -N (hereinafter may referred to as “one or more serving cells 102-1 to 102-N”) serving to the one or more CPEs 106-1 to 106-N. The crowd source data includes Key Performance Indicators (KPIs) of the one or more serving cells 102-1 to 102-N and KPIs associated with the one or more CPEs 106-1 to 106-N. In a non-limiting example, the KPIs of the one or more serving cells 102-1 to 102-N may include Reference Signal Received Power (RSRP), Reference Signal Received Quality (RSRQ), and Signal-to-Interference- plus-Noise Ratio (SINR) received from the one or more serving cells 102-1 to 102- N. Further, in a non-limiting example, the KPIs associated with the one or more CPEs 106-1 to 106-N may include Downlink (DL) throughput of signals receivedthe one or more CPEs 106-1 to 106-N, location information of the one or more CPEs 106-1 to 106-N, and serving cell information of the one or more CPEs 106-1 to 106- N. The location information may refer to latitude longitude information of the one or more CPEs 106-1 to 106-N.

[0072] Upon acquiring the crowd source data, the processor 204, using the acquisition module 218, store the crowd source data in the database 212. The processor 204 may prepare CPE database report associated with the CPEs 106-1 to 106-N based on the crowd source data and may store the CPE database report in the database 212. The CPE database report may include information indicating status of each of the CPEs 106-1 to 106-N. The status of the CPEs 106-1 to 106-N may be one of active or inactive which is based on the crowd source data.

[0073] In one or more embodiments, the processor 204 may acquire the crowd source data periodically a specific time interval. In a non-limiting example, the specific time interval may be one day, one week, or any other time interval.

[0074] At block 304, the processor 204, using the identification module 216, may identify one or more CPEs among the CPEs 106-1 to 106-N having a status as active. The processor 304 may determine the status of the CPEs 106-1 to 106-N using the CPE database report stored in the database 212. If status of each of the CPEs 106-1 to 106-N is inactive, the method 300 terminates.

[0075] At block 306, the processor 204, using the determination module 220, may determine, for each CPE among the one or more CPEs having the status as active, whether a value of the DL throughput included in the KPIs associated with a corresponding CPE is less than a threshold throughput. For example, the threshold throughput may be 30 Mbps. For instance, the processor 204 may filter the one or more CPEs for which the DL throughput is less than the threshold throughput. In one or more embodiment, if DL throughput of all the CPEs 106-1 to 106-N is greater than the threshold throughput, the processor 204 determines that no CPE has the performance issue and the method 300 terminates.

[0076] At block 308, the processor 204, using the determination module 220, may determine, for each CPE among the one or more CPEs for which DL throughput is less than the threshold throughput, whether M days average of the KPIs of a corresponding serving cell included in the crowd source data is greater than a first threshold KPI. In a non-limiting example, M days may be 3 days. In one or more embodiment, if M days average of the KPIs of the corresponding serving cell of each CPE is less than the first threshold KPI, the processor 204 determines that performance issue is at serving cell side and not CPE side, and the method 300 terminates. The KPIs of the serving cell may include the RSRP, the RSRQ, and the SINR received from the corresponding serving cell. In a non-limiting example, a value of the first threshold KPI may be different for different KPIs. Further, the value of the first threshold KPI may be preconfigured or may be configurable by the network operator.

[0077] At block 310, the processor 204, using the determination module 220, may determine, for each CPE among the one or more CPEs for which DL throughput is less than the threshold throughput and the M days average of the KPIs of the corresponding serving cell is greater than the first threshold KPI, whether at least one KPI among the KPIs associated with the corresponding CPE is less than a second threshold KPI for N days among last P days. In a non-limiting example, N days may correspond to 4 days and P days may correspond to 7 days. In one or more embodiment, if each KPI among the KPIs associated with the corresponding CPE is greater than the second threshold KPI for the N days among last P days, the processor 204 determines no CPE has a performance issue and the method 300 terminates. In a non-limiting example, a value of the second threshold KPI may be different for different KPIs associated with the CPEs. Further, the value of the second threshold KPI may be preconfigured or may be configurable by the network operator.

[0078] Based on the determinations at blocks 306-310, the processor 204 identifies or filters at least one CPE among the one or more CPEs having the performance issue. The processor 204 identifies that the at least one CPE among the one or moreCPEs having the performance issue if the value of the DL throughput included in the KPIs associated with the at least one CPE is less than the threshold throughput, the M days average of KPIs of the serving cell associated with the at least one CPE is greater than the first threshold KPI, and the at least one KPI among the KPIs associated with the at least one CPE is less than the second threshold KPI for N days among last P days.

[0079] At block 312, the processor 204, using the determination module 220, may determine the presence of the dominant cell for each CPE among the at least one CPE. If no dominant cell is present for each CPE among the at least one CPE, the flow of the method 300 terminates. For instance, the processor 204, using the determination module 220, may determine the dominant cell for each CPE among the at least one CPE having the performance issue. The dominants cell is identified at a location of each CPE based on the crowd source data.

[0080] At block 314, the processor 204, using the determination module 220, may determine, for each CPE among the at least one CPE, whether the dominant cell is different than the serving cell. For instance, the processor 204 may identify, from the at least one CPE, a set of CPEs for which the dominant cell is different from the serving cell among the one or more serving cells 102-1 to 102-N. Further, the flow of the method 300 terminates for that CPEs for which the dominant cell is same as the serving cell.

[0081] At block 316, the processor 204, using the determination module 220, may determine, for the set of CPEs for which the dominant cell is different from the serving cell, whether each CPE is within a beam width of the dominant cell associated with the corresponding CPE. If the corresponding CPE is within the beam width of the dominant cell, the flow of the method 300 proceeds to block 318. Further, if the corresponding CPE is not within the beam width of the dominant cell, the flow of the method 300 terminates. The determination whether each CPE is within the beam width of the dominant cell is based on the location information of the one or more CPEs 106-1 to 106-N.

[0082] At block 318, the processor 204, using the determination module 220, may determine, for each CPE of the set of CPEs, whether a performance of the dominant cell for the corresponding CPE is above a threshold performance level. For instance, the processor 204 may determine, for each CPE of the set of CPEs, whether an average of the KPIs of the dominant cell for last Q days is greater than a third threshold KPI. Further, the processor 204 may determine that the performance of the dominant cell is above the threshold performance level if the average of KPIs of the dominant cell for the last Q days is greater than the third threshold KPI. In a non-limiting example, the Q days may be 3 days. Further, if the average of the KPIs of the dominant cell for the last Q days is less than the third threshold KPI, the processor 204 determines that the performance of the dominant cell is below the threshold performance level, the flow of the method 300 terminates for the corresponding CPE. In a non-limiting example, a value of the third threshold KPI may be different for different KPIs associated with the dominant cell. Further, the value of the third threshold KPI may be preconfigured or may be configurable by the network operator. Further, values of the first threshold KPI, the second threshold KPI, and the third threshold KPI may be different from each other.

[0083] At block 320, the processor 204, using the determination module 220, may determine, for each CPE of the set of CPEs, whether a number of CPEs latched to the dominant cell associated with the corresponding CPE is less than a threshold value. In a non-limiting example, the threshold value may be 28. If the number of CPEs latched to the dominant cell is less than the threshold value, the flow of the method 300 proceeds to block 322. Further, if the number of CPEs latched to the dominant cell is more than the threshold value, the flow of the method 300 terminates.

[0084] At block 322, the processor 204, using the determination module 220, may identify, for each CPE of the set of CPEs, that the dominant cell is a candidate serving cell to serve the corresponding CPE and redirect a connection of corresponding CPE to the dominant cell. For instance, the processor 204, may redirect a connection of each CPE among the set of CPEs to the dominant cell basedon at least one of the performance of the dominant cell associated with the corresponding CPE is above the threshold performance level, the number of CPEs latched to the dominant cell is less than the threshold value, and the corresponding CPE is not within the beam width of the dominant cell.

[0085] FIG. 4 illustrates a flowchart of a method 400 for redirecting the connection of the CPE to the dominant cell, in accordance with an embodiment of the present disclosure. The method 400 comprises a series of operation steps indicated by blocks 402 through 410. The method 400 starts at block 402.

[0086] At block 402, the identification module 216 may identify the one or more CPEs among the plurality of CPEs 106-1 to 106-N having the status as active.

[0087] At block 404, the acquisition module 218 may acquire the crowd source data from the one or more serving cells 102-1 to 102-N of the one or more CPEs. The crowd source data may include the KPIs of the one or more serving cells 102-1 to 102-N serving to the one or more CPEs and the KPIs associated with the one or more CPEs.

[0088] At block 406, the determination module 220 may determine, for each active CPE among the one or more CPEs based on the crowd source data, whether the corresponding CPE has the performance issue. For instance, at first, the determination module 220 may determine whether the value of the DL throughput included in the KPIs associated with the one or more CPEs is less than the threshold throughput. Further, the determination module 220 may determine whether M days average of KPIs of the serving cell is greater than the first threshold KPI. Thereafter, the determination module 220 may determine whether the at least one KPI among the KPIs associated with the one or more CPEs is less than the second threshold KPI for N days among last P days.

[0089] Upon determining the above three conditions, the determination module 220 may determine that the corresponding CPE has the performance issue if the value of the DL throughput included in the KPIs associated with the one or more CPEs isless than the threshold throughput, the M days average of KPIs of the serving cell is greater than the first threshold KPI, and the at least one KPI among the KPIs associated with the one or more CPEs is less than the second threshold KPI for N days among last P days.

[0090] At block 408, identification module 216 may identify, from the one or more CPEs having the performance issue, the set of CPEs for which the dominant cell is different from the serving cell among the one or more serving cells. The identification of the set of CPEs is based on the location information of the one or more CPEs included in the crowd source data.

[0091] At block 410, the determination module 220 may redirect the connection of each CPE among the set of CPEs to the dominant cell for which the performance of the dominant cell is above the threshold performance level. For instance, at first, the determination module 220 may determine whether the average of the KPIs of the dominant cell for last Q days is greater than the third threshold KPI. Thereafter, the determination module 220 may determine that the performance of the dominant cell is above the threshold performance level if the average of KPIs of the dominant cell for the last Q days is greater than the third threshold KPI. For instance, redirecting the connection may refer to reconfiguring or reassigning a connection of the CPE from a current serving cell to the dominant cell.

[0092] In an embodiment, the redirecting the connection of each CPE among the set of CPEs to the dominant cell is further based on the determination that the corresponding CPE is within the beam width of the dominant cell and the number of CPEs latched to the dominant cell is less than the threshold value.

[0093] FIG. 5 illustrates a schematic block diagram of a computing system 500 for redirecting the connection of the CPE to the dominant cell, in accordance with an embodiment of the present disclosure.

[0094] The computing system 500 includes a network 502, a network interface 504, a processor 506 (similar in functionality to the processor 204 of FIG. 2), anInput / Output (I / O) interface 508 (similar in functionality to the I / O interface 202 of FIG. 2), and a non-transitory computer readable storage medium 510 (hereinafter may also be referred to as the “storage medium 510” or the “storage media 510”). The network interface 504 may include an Ethernet card, Universal Serial Bus (USB), a communication port, or a Personal Computer Memory Card International Association (PCMCIA) slot and card. It will be apparent to a person of ordinary skill in the art that the network interface 504 may include any interface capable of supporting wireless or wired communications between the computing system 500 and one or more serving cells 102-1 to 102-N or the one or more CPEs using a communication technique, such as a 5thGeneration 5G / New Radio (NR), Long Term Evolution (LTE), Long Term Evolution Advanced (LTE-A), Worldwide Interoperability for Microwave Access (WiMAX), Wireless Fidelity (Wi-Fi), Narrowband Internet of Things (NB-IoT), or other wireless communication techniques.

[0095] The processor 506 may include various processing circuitry / modules and communicate with the storage medium 510 and the I / O interface 508. The processor 506 is configured to execute instructions stored in the storage medium 510 and to perform various processes. The processor 506 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 506 may be configured to execute computer-readable instructions 510-1 stored in the storage medium 510 to cause the system 200 to perform various functions disclosed throughput the disclosure.

[0096] The storage medium 510 stores a set of instructions i.e., computer program instructions 510-1 (hereinafter may also be referred to as instructions 510-1) required by the processor 506 for controlling its overall operations. The storage medium 510 may include an electronic storage medium, a magnetic storage medium, an optical storage medium, a quantum storage medium, or the like. Forexample, the storage medium 510 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 medium 510 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 510 stores computer program code configured to cause the computing system 500 to perform at least a portion of the processes and / or methods disclosed herein throughput the disclosure.

[0097] Embodiments of the present disclosure have been described above with reference to flowchart illustrations of methods and systems according to embodiments of the disclosure, and / or procedures, algorithms, steps, operations, formulae, or other computational depictions, which may also be implemented as computer program products. In this regard, each block or step of the flowchart, and combinations of blocks (and / or steps) in the flowchart, as well as any procedure, algorithm, step, operation, formula, or computational depiction can be implemented by various means, such as hardware, firmware, and / or software including one or more computer program instructions embodied in computer-readable program code. As will be appreciated, any such computer program instructions may be executed by one or more computer processors, including without limitation a general-purpose computer or special purpose computer, or other programmable processing apparatus to perform a group of operations comprising the operations or blocks described in connection with the disclosed method.

[0098] Further, these computer program instructions, such as embodied in computer-readable program code, may also be stored in one or more computer- readable memory or memory devices (for example, the memory 206 or the storage medium 510) that can direct a computer processor or other programmable processing apparatus to function in a particular manner, such that the instructions 510-1 stored in the computer-readable memory or memory devices produce anT1 article of manufacture including instruction means which implement the function specified in the block(s) of the flowchart(s).

[0099] It will further be appreciated that the term “computer program instructions” as used herein refer to one or more instructions that can be executed by the one or more processors (for example, the processor 204 or the processor 506) to perform one or more functions as described herein. The instructions 510-1 may also be stored remotely such as on a server, or all or a portion of the instructions can be stored locally and remotely.

[0100] Now, referring to the technical abilities and advantageous effect of the present disclosure, operational advantages that may be provided by embodiments disclosed herein may include redirecting or reallocating the CPEs to the appropriate serving cell thereby improving the performance under the CPE and enhancing user experience.

[0101] Those skilled in the art will appreciate that the methodology described herein in the present disclosure may be carried out in other specific ways than those set forth herein in the above disclosed embodiments without departing from essential characteristics and features of the present invention. The above-described embodiments are therefore to be construed in all aspects as illustrative and not restrictive.

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

[0103] In the present disclosure, each of the embodiments has been described with reference to numerous specific details which may vary from embodiment to embodiment. The foregoing description of the specific embodiments disclosed herein may reveal the general nature of the embodiments herein that others may, by applying current knowledge, readily modify and / or adapt for various applications such specific embodiments without departing from the generic concept, and, therefore, such adaptations and modifications are intended to be comprehended within the meaning of the disclosed embodiments. It is to be understood that the phraseology or terminology employed herein is for the purpose of description and is not limited in scope.LIST OF REFERENCE NUMERALS

[0104] The following list is provided for convenience and in support of the drawing figures and as part of the text of the specification, which describe innovations by reference to multiple items. Items not listed here may nonetheless be part of a given embodiment. For better legibility of the text, a given reference number is recited near some, but not all, recitations of the referenced item in the text. The same reference number may be used with reference to different examples or different instances of a given item. The list of reference numerals is:100 - Wireless communication network102 - Base Station (BS)102-1 to 102-N - Plurality of BSs104 - User Equipment (UE)104-1 to 104-N - Plurality of UEs106-1 to 106-N - Customer Premises Equipment (CPEs)108 - Network110 - Server200 - System for redirecting a connection of a CPE to a dominant cell202 - Input-Output (I / O) interface204 - Processor206 - Memory206A - Set of instructions208 - Network communication manager210 - Console host212 - Database214 - Processing unit(s) / modules(s)216 - Identification module218 - Acquisition module220 - Determination module222 - Communication bus300 - Detailed flow diagram of a method for redirecting the connection of the CPE to the dominant cell302-322 - Operation steps of the method 300400 - Method for redirecting the connection of the CPE to the dominant cell402-410 - Operation steps of the method 400500 - Block diagram of a computing system502 - Network504 - Network interface506 - Processor508 - Input / Output (VO) interface510 - Non-transitory computer readable storage medium510-1 - Set of instructions

Claims

I / We claim:

1. A method (400) for redirecting a connection of a Customer Premises Equipment (CPE) to a dominant cell, the method (400) comprising: identifying, by an identification module (216), one or more CPEs among a plurality of CPEs (106-1 to 106-N) having a status as active; acquiring, by an acquisition module (218), crowd source data from one or more serving cells of the one or more CPEs; determining, by a determination module (220) based on the crowd source data, for each active CPE among the one or more CPEs, whether a corresponding CPE has a performance issue; identifying, by the identification module (216), among the one or more CPEs having the performance issue, a set of CPEs for which the dominant cell is different from a serving cell among the one or more serving cells; and redirecting, by the determination module (220), the connection of each CPE among the set of CPEs to the dominant cell for which a performance of the dominant cell is above a threshold performance level.

2. The method (400) as claimed in claim 1, wherein the crowd source data includes Key Performance Indicators (KPIs) of the one or more serving cells serving to the one or more CPEs and KPIs associated with the one or more CPEs, and the KPIs of the one or more serving cells include Reference Signal Received Power (RSRP), Reference Signal Received Quality (RSRQ), and Signal-to- Interference-plus-Noise Ratio (SINR) associated with the one or more serving cells.

3. The method (400) as claimed in claim 2, wherein, for determining, for each active CPE among the one or more CPEs, whether the corresponding CPE has the performance issue, the method (400) comprises:determining, by the determination module (220), whether a value of a Downlink (DL) throughput included in the KPIs associated with the one or more CPEs is less than a threshold throughput; determining, by the determination module (220), whether M days average of KPIs of the serving cell is greater than a first threshold KPI; and determining, by the determination module (220), whether at least one KPI among the KPIs associated with the one or more CPEs is less than a second threshold KPI for N days among last P days.

4. The method (400) as claimed in claim 3, wherein the corresponding CPE has the performance issue if the value of the DL throughput included in the KPIs associated with the one or more CPEs is less than the threshold throughput, the M days average of KPIs of the serving cell is greater than the first threshold KPI, and the at least one KPI among the KPIs associated with the one or more CPEs is less than the second threshold KPI for N days among last P days.

5. The method (400) as claimed in claim 1, wherein the identification of the set of CPEs is based on location information of the one or more CPEs included in the crowd source data.

6. The method (400) as claimed in claim 1, further comprising determining, by the determination module (220) for each CPE among the set of CPEs, whether the performance of the dominant cell is above the threshold performance level based on the crowd source data associated with the set of CPEs.

7. The method (400) as claimed in claim 6, wherein, for determining, for each CPE among the set of CPEs, whether the performance of the dominant cell is above the threshold performance level, the method (400) comprises: determining, by the determination module (220), whether an average of Key Performance Indicators (KPIs) of the dominant cell for last Q days is greater than a third threshold KPI; anddetermining, by the determination module (220), that the performance of the dominant cell is above the threshold performance level if the average of KPIs of the dominant cell for the last Q days is greater than the third threshold KPI.

8. The method (400) as claimed in claim 1, wherein the redirecting the connection of each CPE among the set of CPEs to the dominant cell is further based on a determination that a corresponding CPE is within a beam width of the dominant cell and a number of CPEs latched to the dominant cell is less than a threshold value.

9. A system (200) for redirecting a connection of a Customer Premises Equipment (CPE) to a dominant cell, the system (200) comprising: an identification module (216) configured to identify one or more CPEs among a plurality of CPEs (106-1 to 106-N) having a status as active; an acquisition module (218) configured to acquire crowd source data from one or more serving cells of the one or more CPEs; and a determination module (220) configured to determine, based on the crowd source data, for each active CPE among the one or more CPEs, whether a corresponding CPE has a performance issue, wherein the identification module (216) is further configured to identify, among the one or more CPEs having the performance issue, a set of CPEs for which the dominant cell is different from a serving cell among the one or more serving cells, and the determination module (220) is further configured to redirect, the connection of each CPE among the set of CPEs to the dominant cell for which a performance of the dominant cell is above a threshold performance level.

10. The system (200) as claimed in claim 9, wherein the crowd source data includes key performance indicators (KPIs) of the one or more serving cells serving to the one or more CPEs and KPIs associated with the one or more CPEs, andthe KPIs of the one or more serving cells include Reference Signal Received Power (RSRP), Reference Signal Received Quality (RSRQ), and Signal-to- Interference-plus-Noise Ratio (SINR) associated with the one or more serving cells.

11. The system (200) as claimed in claim 10, wherein to determine, for each active CPE among the one or more CPEs, whether the corresponding CPE has the performance issue, the determination module (220) is configured to: determine whether a value of a Downlink (DL) throughput included in the KPIs associated with the one or more CPEs is less than a threshold throughput; determine whether M days average of KPIs of the serving cell is greater than a first threshold KPI; and determine whether at least one KPI among the KPIs associated with the one or more CPEs is less than a second threshold KPI for N days among last P days.

12. The system (200) as claimed in claim 11, wherein the determination module (220) is configured to determine that corresponding CPE has the performance issue if the value of the DL throughput included in the KPIs associated with the one or more CPEs is less than the threshold throughput, the M days average of KPIs of the serving cell is greater than the first threshold KPI, and the at least one KPI among the KPIs associated with the one or more CPEs is less than the second threshold KPI for N days among last P days.

13. The system (200) as claimed in claim 9, wherein the identification of the set of CPEs is based on location information of the one or more CPEs included in the crowd source data.

14. The system (200) as claimed in claim 9, wherein the determination module (220) is further configured to determine, for each CPE among the set of CPEs, whether the performance of the dominant cell is above the threshold performance level based on the crowd source data associated with the set of CPEs.

15. The system (200) as claimed in claim 9, wherein, to determine, for each CPE among the set of CPEs, whether the performance of the dominant cell is above the threshold performance level, the determination module (220) is configured to: determine whether an average of Key Performance Indicators (KPIs) of the dominant cell for last Q days is greater than a third threshold KPI; and determine that the performance of the dominant cell is above the threshold performance level if the average of KPIs of the dominant cell for the last Q days is greater than the third threshold KPI.

16. The system (200) as claimed in claim 9, wherein the redirecting the connection of each CPE among the set of CPEs to the dominant cell is further based on a determination that a corresponding CPE is within a beam width of the dominant cell and a number of CPEs latched to the dominant cell is less than a threshold value.

17. 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 one or more Customer Premises Equipment (CPEs) among a plurality of CPEs (106-1 to 106-N) having a status as active; acquiring crowd source data from one or more serving cells of the one or more CPEs; determining, based on the crowd source data for each active CPE among the one or more CPEs, whether a corresponding CPE has a performance issue; identifying, among the one or more CPEs having the performance issue, a set of CPEs for which a dominant cell is different from a serving cell among the one or more serving cells; and redirecting a connection of each CPE among the set of CPEs to the dominant cell for which a performance of the dominant cell is above a threshold performance level.

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