Method and system for monitoring of impacts for network configuration changes

Abstract

The present disclosure relates to a system and method for monitoring of impacts for network configuration changes The disclosure encompasses: collecting, by a collection unit [202] via a network platform, a change request data from a Configuration Management (CM) system; retrieving, by a retrieving unit [204] via the network platform, one or more Key Performance Indicators (KPIs) from a Performance Management (PM) entity; analysing, by a processing unit [206] via the network platform, a set of change impacts based on the retrieved one or more KPIs; reporting, by the processing unit [206] via the network platform, the analysed set of change impacts in a report via Work Order (WO) entity; and triggering, by the processing unit [206] via the network platform, a response through the CM system for the reported set of change impacts upon reaching a pre-defined degradation threshold.

Description

METHOD AND SYSTEM FOR MONITORING OF IMPACTS FOR NETWORK CONFIGURATION CHANGESFIELD OF DISCLOSURE

[0001] Embodiments of the present disclosure generally relate to the field of wireless communication systems. More particularly, embodiments of the present disclosure relate to a method and system for monitoring of impacts for network configuration changes.BACKGROUND

[0002] The following description of related art is intended to provide background information pertaining to the field of the disclosure. This section may include certain aspects of the art that may be related to various features of the present disclosure. However, it should be appreciated that this section be used only to enhance the understanding of the reader with respect to the present disclosure, and not as admissions of prior art.

[0003] Wireless communication technology has rapidly evolved over the past few decades, with each generation bringing significant improvements and advancements. The first generation of wireless communication technology was based on analog technology and offered only voice services. However, with the advent of the second-generation (2G) technology, digital communication and data services became possible, and text messaging was introduced. 3G technology marked the introduction of high-speed internet access, mobile video calling, and location-based services. The fourth generation (4G) technology revolutionized wireless communication with faster data speeds, better network coverage, and improved security. Currently, the fifth generation (5G) technology is being deployed, promising even faster data speeds, low latency, and the ability to connect multiple devices simultaneously. With each generation, wireless communication technology has become more advanced, sophisticated, and capable of delivering more services to its users.

[0004] In the 5G communication network, there is provided a plurality of network functions (NFs), for example Access and Mobility Management Functions (AMFs), session management functions (SMFs), Authentication Server functions (AUSFs), Network Slice Selection Functions (NSSFs), Policy control functions (PCFs), Network Repository Functions (NRFs), NetworkExposure Functions (NEFs) and the like. One or more of the NFs communicate with each other, to implement multiple activities on the 5G communication system. For example, the NEF may support creation of new services in the network domain, such as data and network services, which are easily available for communication service providers and third-party domains.

[0005] Further, in the 5G communication network, network services are provided by one or more serving cells within a geographical area. These serving cells provide radio signals, which, in turn, provide network connectivity to users. The users may be in dynamic or movable positions and may be serviced by different serving cells with different signal strengths. Based on received signal strength, some cells may be more suitable to a user and other cells may be less suitable to a user. Further, based on services provided by a cell or number of users served by a cell within a geographical area or grid performance may be evaluated, so that optimization of a cell may be achieved. For optimizing the cell, KPI calculations may be performed, such as KPI for Fault, Configuration, Accounting, Performance, and security (FCAPS) framework, to evaluate the experience of users or customers. During any changes such as power, physical parameters of antenna and cell sites and the like, network services and user experience may be impacted. Currently, there is no established method for implementing a closed-loop system that integrates monitoring, auto-validation, rapid optimization, and reporting to concerned operation teams. Further, monitoring and analysis may be done manually, which takes more time.

[0006] Thus, there exists an imperative need in the art to provide an efficient system and method for monitoring impacts of network configuration changes, which the present disclosure aims to address.SUMMARY

[0007] This section is provided to introduce certain aspects of the present disclosure in a simplified form that are further described below in the detailed description. This summary is not intended to identify the key features or the scope of the claimed subject matter.

[0008] An aspect of the present disclosure relates to a method for monitoring of impacts for network configuration changes. The method includes collecting, by a collection unit via a network platform, a change request data from a Configuration Management (CM) system. Next, the method includes retrieving, by a retrieving unit via the network platform, one or more Key PerformanceIndicators (KPIs) from a Performance Management (PM) entity. Next, the method includes analysing, by a processing unit via the network platform, a set of change impacts based on the retrieved one or more KPIs. Next, the method includes reporting, by the processing unit via the network platform, the analysed set of change impacts in a report via Work Order (WO) entity. Thereafter, the method includes triggering, by the processing unit via the network platform, a response through the CM system for the reported set of change impacts upon reaching a predefined degradation threshold.

[0009] In an exemplary aspect of the present disclosure, the change request data includes at least one of new features rollout and parameter adjustments made in the network within a predefined time interval at cell level or geographical level.

[0010] In an exemplary aspect of the present disclosure, the retrieved one or more KPIs are used for validation of Fault, Configuration, Accounting, Performance, and security (FCAPS) related KPIs.

[0011] In an exemplary aspect of the present disclosure, analysing the set of change impacts based on the retrieved one or more KPIs is performed by a Change Impact Validation (CIV) engine, wherein the CIV engine generates a pre-post analysis report including a detailed computation of a percentage improvement versus a percentage degradation or no impact resulting from the network changes.

[0012] In an exemplary aspect of the present disclosure, reporting the analysed set of change impacts in the report comprises sending one or more statistical readings to an optimization team for their validation.

[0013] In an exemplary aspect of the present disclosure, triggering the response corresponds to initiating an action in an event a degradation factor or percentage of the analysed set of impact changes breaches a predetermined threshold level.

[0014] In an exemplary aspect of the present disclosure, the pre-post analysis comprises detecting one or more anomalies to enable a network management team to take actions for resolution of the one or more anomalies.

[0015] In an exemplary aspect of the present disclosure, the analysed report is accessed by the network management team via a Monitoring and Dashboard (MD) entity.

[0016] In an exemplary aspect of the present disclosure, the impacts for network configuration changes are monitored via a closed-loop monitoring.

[0017] Another aspect of the present disclosure may relate to a system for monitoring of impacts for network configuration changes. The system comprising a collection unit configured to collect, via a network platform, a change request data from a Configuration Management (CM) system; a retrieving unit configured to retrieve, via the network platform, one or more Key Performance Indicators (KPIs) from a Performance Management (PM) entity; a processing unit configured to analyse, via the network platform, a set of change impacts based on the retrieved one or more KPIs; report, via the network platform, the analysed set of change impacts in a report via Work Order (WO) entity; and trigger, via the network platform, a response through the CM system for the reported set of change impacts upon reaching a pre-defined degradation threshold.

[0018] Yet another aspect of the present disclosure may relate to a non-transitory computer readable storage medium storing instructions for monitoring of impacts for network configuration changes, the instructions include executable code which, when executed by one or more units of a system, causes: a collection unit of the system to collect, via a network platform, a change request data from a Configuration Management (CM) system; a retrieving unit of the system to retrieve, via the network platform, one or more Key Performance Indicators (KPIs) from a Performance Management (PM) entity; a processing unit of the system to analyse, via the network platform, a set of change impacts based on the retrieved one or more KPIs; report, via the network platform, the analysed set of change impacts in a report via Work Order (WO) entity; and trigger, via the network platform, a response through the CM system for the reported set of change impacts upon reaching a pre-defined degradation threshold.OBJECTS OF THE DISCLOSURE

[0019] Some of the objects of the present disclosure, which at least one embodiment disclosed herein satisfies are listed herein below.

[0020] It is an obj ect of the present disclosure to provide a system and a method for monitoring impacts for network configuration changes for user(s) experience in the network.

[0021] It is another object of the present disclosure to provide a system and a method for regulating FCAPS or KPIs related issues, from the cell level to a higher geographical level, for swift observations and corrective actions. By collecting change request data and performance KPIs, the system generates Pre-Post analysis reports, enabling the optimization team to validate changes and automatically revert if degradation factor or percentage may exceed predefined thresholds.DESCRIPTION OF THE DRAWINGS

[0022] The accompanying drawings, which are incorporated herein, and constitute a part of this disclosure, illustrate exemplary embodiments of the disclosed methods and systems in which like reference numerals refer to the same parts throughout the different drawings. Components in the drawings are not necessarily to scale, emphasis instead being placed upon clearly illustrating the principles of the present disclosure. Also, the embodiments shown in the figures are not to be construed as limiting the disclosure, but the possible variants of the method and system according to the disclosure are illustrated herein to highlight the advantages of the disclosure. It will be appreciated by those skilled in the art that disclosure of such drawings includes disclosure of electrical components or circuitry commonly used to implement such components.

[0023] FIG. 1 illustrates an exemplary block diagram of a computing device upon which the features of the present disclosure may be implemented, in accordance with exemplary implementations of the present disclosure.

[0024] FIG. 2 illustrates an exemplary block diagram of a system for monitoring of impacts for network configuration changes, in accordance with exemplary implementations of the present disclosure.

[0025] FIG. 3 illustrates a method flow diagram for monitoring of impacts for network configuration changes, in accordance with exemplary implementations of the present disclosure.

[0026] FIG. 4 illustrates an exemplary block diagram of a system architecture for monitoring of impacts for network configuration changes, in accordance with exemplary implementations of the present disclosure.

[0027] The foregoing shall be more apparent from the following more detailed description of the disclosure.DETAILED DESCRIPTION

[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 may each be used independently of one another or with any combination of other features. An individual feature may not address any of the problems discussed above or might address only some of the problems discussed above.

[0029] The ensuing description provides exemplary embodiments only, and is not intended to limit the scope, applicability, or configuration of the disclosure. Rather, the ensuing description of the exemplary embodiments will provide those skilled in the art with an enabling description for implementing an exemplary embodiment. It should be understood that various changes may be made in the function and arrangement of elements without departing from the spirit and scope of the disclosure as set forth.

[0030] Specific details are given in the following description to provide a thorough understanding of the embodiments. However, it will be understood by one of ordinary skill in the art that the embodiments may be practiced without these specific details. For example, circuits, systems, processes, and other components may be shown as components in block diagram form in order not to obscure the embodiments in unnecessary detail.

[0031] Also, it is noted that individual embodiments may be described as a process which is depicted as a flowchart, a flow diagram, a data flow diagram, a structure diagram, or a block diagram. Although a flowchart may describe the operations as a sequential process, many of the operations may be performed in parallel or concurrently. In addition, the order of the operationsmay be re-arranged. A process is terminated when its operations are completed but could have additional steps not included in a figure.

[0032] The word “exemplary” and / or “demonstrative” is used herein to mean serving as an example, instance, or illustration. For the avoidance of doubt, the subject matter disclosed herein is not limited by such examples. In addition, any aspect or design described herein as “exemplary” and / or “demonstrative” is not necessarily to be construed as preferred or advantageous over other aspects or designs, nor is it meant to preclude equivalent exemplary structures and techniques known to those of ordinary skill in the art. Furthermore, to the extent that the terms “includes,” “has,” “contains,” and other similar words are used in either the detailed description or the claims, such terms are intended to be inclusive — in a manner similar to the term “comprising” as an open transition word — without precluding any additional or other elements.

[0033] As used herein, a “processing unit” or “processor” or “operating processor” includes one or more processors, wherein processor refers to any logic circuitry for processing instructions. A processor may be a general-purpose processor, a special purpose processor, a conventional processor, a digital signal processor, a plurality of microprocessors, one or more microprocessors in association with a (Digital Signal Processing) DSP core, a controller, a microcontroller, Application Specific Integrated Circuits, Field Programmable Gate Array circuits, any other type of integrated circuits, etc. The processor may perform signal coding data processing, input / output processing, and / or any other functionality that enables the working of the system according to the present disclosure. More specifically, the processor or processing unit is a hardware processor.

[0034] As used herein, “a user equipment”, “a user device”, “a smart-user-device”, “a smartdevice”, “an electronic device”, “a mobile device”, “a handheld device”, “a wireless communication device”, “a mobile communication device”, “a communication device” may be any electrical, electronic and / or computing device or equipment, capable of implementing the features of the present disclosure. The user equipment / device may include, but is not limited to, a mobile phone, smart phone, laptop, a general-purpose computer, desktop, personal digital assistant, tablet computer, wearable device or any other computing device which is capable of implementing the features of the present disclosure. Also, the user device may contain at least one input means configured to receive an input from at least one of a transceiver unit, a processing unit, a storage unit, a detection unit and any other such unit(s) which are required to implement the features of the present disclosure.

[0035] As used herein, “storage unit” or “memory unit” refers to a machine or computer- readable medium including any mechanism for storing information in a form readable by a computer or similar machine. For example, a computer-readable medium includes read-only memory (“ROM”), random access memory (“RAM”), magnetic disk storage media, optical storage media, flash memory devices or other types of machine-accessible storage media. The storage unit stores at least the data that may be required by one or more units of the system to perform their respective functions.

[0036] As used herein “interface” or “user interface” refers to a shared boundary across which two or more separate components of a system exchange information or data. The interface may also refer to a set of rules or protocols that define communication or interaction of one or more modules or one or more units with each other, which also includes the methods, functions, or procedures that may be called.

[0037] All modules, units, components used herein, unless explicitly excluded herein, may be software modules or hardware processors, the processors being a general-purpose processor, a special purpose processor, a conventional processor, a digital signal processor (DSP), a plurality of microprocessors, one or more microprocessors in association with a DSP core, a controller, a microcontroller, Application Specific Integrated Circuits (ASIC), Field Programmable Gate Array circuits (FPGA), any other type of integrated circuits, etc.

[0038] As used herein the transceiver unit includes at least one receiver and at least one transmitter configured respectively for receiving and transmitting data, signals, information or a combination thereof between units / components within the system and / or connected with the system.

[0039] As used herein, network configuration changes may be associated with at least one of roll-out new features, modification of service features, parameters modifications, frequency modification, neighbour cell signal modification and the like.

[0040] As discussed in the background section, the current known solutions have several shortcomings. The present disclosure aims to overcome the above-mentioned and other existingproblems in this field of technology by providing a method and a system for monitoring of impacts for network configuration changes.

[0041] FIG. 1 illustrates an exemplary block diagram of a computing device

[0100] (also referred herein as a computer system

[0100] ) upon which the features of the present disclosure may be implemented in accordance with exemplary implementation of the present disclosure. In an implementation, the computing device

[0100] may also implement a method for monitoring of impacts for network configuration changes utilising the system. In another implementation, the computing device

[0100] itself implements the method for monitoring of impacts for network configuration changes using one or more units configured within the computing device

[0100] , wherein said one or more units are capable of implementing the features as disclosed in the present disclosure.

[0042] The computing device

[0100] may include a bus

[0102] or other communication mechanism for communicating information, and a hardware processor

[0104] coupled with bus

[0102] for processing information. The hardware processor

[0104] may be, for example, a general- purpose microprocessor. The computing device

[0100] may also include a main memory

[0106] , such as a random-access memory (RAM), or other dynamic storage device, coupled to the bus

[0102] for storing information and instructions to be executed by the processor

[0104] , The main memory

[0106] also may be used for storing temporary variables or other intermediate information during execution of the instructions to be executed by the processor

[0104] , Such instructions, when stored in non-transitory storage media accessible to the processor

[0104] , render the computing device

[0100] into a special-purpose machine that is customized to perform the operations specified in the instructions. The computing device

[0100] further includes a read only memory (ROM)

[0108] or other static storage device coupled to the bus

[0102] for storing static information and instructions for the processor

[0104] ,

[0043] A storage device

[0110] , such as a magnetic disk, optical disk, or solid-state drive is provided and coupled to the bus

[0102] for storing information and instructions. The computing device

[0100] may be coupled via the bus

[0102] to a display

[0112] , such as a cathode ray tube (CRT), Liquid crystal Display (LCD), Light Emitting Diode (LED) display, Organic LED (OLED) display, etc. for displaying information to a computer user. An input device

[0114] , including alphanumeric and other keys, touch screen input means, etc. may be coupled to the bus

[0102] for communicating information and command selections to the processor

[0104] , Another type of userinput device may be a cursor controller

[0116] , such as a mouse, a trackball, or cursor direction keys, for communicating direction information and command selections to the processor

[0104] , and for controlling cursor movement on the display

[0112] , The input device typically has two degrees of freedom in two axes, a first axis (e.g., x) and a second axis (e.g., y), that allow the device to specify positions in a plane.

[0044] The computing device

[0100] may implement the techniques described herein using customized hard-wired logic, one or more ASICs or FPGAs, firmware and / or program logic which in combination with the computing device

[0100] causes or programs the computing device

[0100] to be a special-purpose machine. According to one implementation, the techniques herein are performed by the computing device

[0100] in response to the processor

[0104] executing one or more sequences of one or more instructions contained in the main memory

[0106] , Such instructions may be read into the main memory

[0106] from another storage medium, such as the storage device

[0110] , Execution of the sequences of instructions contained in the main memory

[0106] causes the processor

[0104] to perform the process steps described herein. In alternative implementations of the present disclosure, hard-wired circuitry may be used in place of or in combination with software instructions.

[0045] The computing device

[0100] also may include a communication interface

[0118] coupled to the bus

[0102] , The communication interface

[0118] provides a two-way data communication coupling to a network link

[0120] that is connected to a local network

[0122] , For example, the communication interface

[0118] may be an integrated services digital network (ISDN) card, cable modem, satellite modem, or a modem to provide a data communication connection to a corresponding type of telephone line. As another example, the communication interface

[0118] may be a local area network (LAN) card to provide a data communication connection to a compatible LAN. Wireless links may also be implemented. In any such implementation, the communication interface

[0118] sends and receives electrical, electromagnetic or optical signals that carry digital data streams representing various types of information.

[0046] The computing device

[0100] can send messages and receive data, including program code, through the network(s), the network link

[0120] and the communication interface

[0118] , In the Internet example, a server

[0130] might transmit a requested code for an application program through the Internet

[0128] , the ISP

[0126] , the local network

[0122] , host

[0124] and thecommunication interface

[0118] , The received code may be executed by the processor

[0104] as it is received, and / or stored in the storage device

[0110] , or other non-volatile storage for later execution.

[0047] The computing device

[0100] encompasses a wide range of electronic devices capable of processing data and performing computations. Examples of the computing device

[0100] include, but are not limited only to, personal computers, laptops, tablets, smartphones, servers, and embedded systems. The devices may operate independently or as part of a network and can perform a variety of tasks such as data storage, retrieval, and analysis. Additionally, the computing device

[0100] may include peripheral devices, such as monitors, keyboards, and printers, as well as integrated components within larger electronic systems, showcasing their versatility in various technological applications.

[0048] Referring to FIG. 2, an exemplary block diagram of a system

[0200] for monitoring of impacts for network configuration changes, is shown, in accordance with the exemplary implementations of the present disclosure. The system

[0200] comprises at least one collection unit

[0202] , at least one retrieving unit

[0204] and at least one processing unit

[0206] , Also, all of the components / units of the system

[0200] are assumed to be connected to each other unless otherwise indicated below. As shown in the figures all units shown within the system should also be assumed to be connected to each other. Also, in FIG. 2 only a few units are shown; however, the system

[0200] may comprise multiple such units or the system

[0200] may comprise any such numbers of said units, as required to implement the features of the present disclosure. Further, in an implementation, the system

[0200] may be present in a user equipment (UE) to implement the features of the present disclosure. The system

[0200] may be a part of the UE or may be independent of but in communication with the UE. In another implementation, the system

[0200] may reside in a server or a network entity. In yet another implementation, the system

[0200] may reside partly in the server / network entity and partly in the UE.

[0049] The system

[0200] is configured for monitoring of impacts for network configuration changes, with the help of the interconnection between the components / units of the system

[0200] ,

[0050] The system

[0200] comprises a collection unit

[0202] , The collection unit

[0202] is configured to collect, via a network platform, a change request data from a Configuration Management (CM) system. The network platform is a central processing entity, which collects the change request data for changing features, adding new features, parameter adjustments within thenetwork from the CM system in order to modify the configuration of the network. The change request data may comprise at least one of new features rollout and parameter adjustments made in the network within a predefined time interval, at cell level or geographical level. In an implementation, the change request may be associated with cell level, region or geography level based on configured by a network administrator, a service provider or any other authorised person. In an implementation, the predefined time interval may be any, such as an hour, a previous hour, a previous day, a set of days, etc. In an implementation, the changing features may be associated with rolling new service(s) or feature(s), such as speed and premium subscription service, and parameter adjustments may be associated with frequency, latency and throughput in the network.

[0051] The system

[0200] comprises a retrieving unit

[0204] , The retrieving unit

[0204] is configured to retrieve, via the network platform, one or more Key Performance Indicators (KPIs) from a Performance Management (PM) entity. The PM entity is a service that is configured to gather and process performance data, such as KPIs from different data sources. The PM entity is configured to facilitate reporting and visualisation of the performance data. Further, the PM entity may include a specific engine, such as a KPI engine that is configured to manage the KPIs of all network elements. The collection unit

[0202] is communicatively coupled with the retrieving unit

[0204] , After collecting the change request data from the collection unit

[0202] , the retrieving unit

[0204] is configured to retrieve one or more KPIs such as, but not limited to, fault, configuration, accounting, performance, security) FCAPs KPIs from the PM entity. The retrieved one or more KPIs are used for validation of Fault, Configuration, Accounting, Performance, and security (FCAPS) related KPIs. In an implementation, the retrieving unit

[0204] may comprise one or more algorithmic or processing engines, which retrieve performance KPIs from the PM system for validating the FCAPs-related KPIs.

[0052] The system

[0200] comprises a processing unit

[0206] , The processing unit

[0206] is configured to analyse, via the network platform, a set of change impacts based on the retrieved one or more KPIs. The retrieving unit

[0204] is communicatively coupled with the processing unit

[0206] , The processing unit

[0206] is configured to analyse the set of change impacts based on the retrieved one or more KPIs. The set of change impacts may be any such as, but not limited to, fault detection rate, alarm frequency, configuring compliance rate, configuring error rate, billing accuracy, resource utilizing rate, network throughput, latency, number of security breach and unauthorised access attempts. The analysis of the change impacts may be performed by a Change Impact Validation (CIV) engine. The CIV engine is configured to generate a pre-post analysis report including a detailed computation of a percentage improvement versus a percentagedegradation or no impact, as a result of the network changes. The pre-post analysis report may contain the analysed change impact with timestamps, cause of changed parameter, and rolling features. Further, the pre-post analysis may comprise detecting one or more anomalies to enable a network management team to take actions for resolution of the one or more anomalies. The analysed report is accessed by the network management team via a Monitoring and Dashboard (MD) entity. In an implementation, the authorised person of the network management team may take the action such as hold or cancel the rolling new feature, parameters change due to anomaly detection. The anomaly may include signal / service conflict or degradation of the existing service and overall performance of the network service.

[0053] The processing unit

[0206] is further configured to report, via the network platform, the analysed set of change impacts in a report via Work Order (WO) entity. After analysing the set of change impacts, the processing unit

[0206] is configured to report the analysed set of change impacts in the report via WO entity may comprise sending one or more statistical readings to an optimization team for their validation. The reported set of changes may include service down, frequency interference, call drops and poor latency. In an implementation, the WO entity may facilitate management of communication between the optimization team and other operational teams.

[0054] The processing unit

[0206] is further configured to trigger, via the network platform, a response through the CM system for the reported set of change impacts upon reaching a predefined degradation threshold. The predefined degradation threshold may be based on the pre-post analysis report and a value of degradation (e g , in terms of percentage degradation) may be set by the authorized person from the network management team. The processing unit

[0206] is configured to trigger the response. The response may correspond to initiating an action in an event a degradation factor or percentage of the analysed set of impact changes breaches a predetermined threshold level. In an implementation, the processing unit

[0206] is configured to automatically trigger the response through the CM system for the reported set of change impacts upon reaching a pre-defined degradation threshold, so as to revert the changes made to the network. The reported set of changes may include service down, frequency interference, call drops and poor latency. In an implementation, the degradation threshold may be associated with a number of call drops, latency and throughput. In an implementation, the CM system may itself trigger the response. In an implementation, the CM system may send the response to an auto-trigger system, which triggers the response for the reported set of change impacts for reaching the degradation threshold.

[0055] In an exemplary implementation, the impacts for network configuration changes are monitored via a closed-loop monitoring. The closed loop monitoring system integrates monitoring, auto-validation, rapid optimization, and reporting to associated teams within the communication network. The closed loop monitoring system optimizes the monitoring process, finely adjusts Fault, Configuration, Accounting, Performance, Security (FCAPS) related issues, from the cell level to a higher geographical level, for swift observations and corrective actions.

[0056] Further, in accordance with the present disclosure, it is to be acknowledged that the functionality described for the various components / units can be implemented interchangeably. While specific embodiments may disclose a particular functionality of these units for clarity, it is recognized that various configurations and combinations thereof are within the scope of the disclosure. The functionality of specific units as disclosed in the disclosure should not be construed as limiting the scope of the present disclosure. Consequently, alternative arrangements and substitutions of units, provided they achieve the intended functionality described herein, are considered to be encompassed within the scope of the present disclosure.

[0057] Referring to FIG. 3, an exemplary method flow diagram

[0300] for monitoring of impacts for network configuration changes, in accordance with exemplary implementations of the present disclosure is shown. In an implementation the method

[0300] is performed by the system

[0200] , Further, in an implementation, the system

[0200] may be present in a server device to implement the features of the present disclosure. Also, as shown in FIG. 3, the method

[0300] starts at step 302.

[0058] At step 304, the method

[0300] comprises collecting, by a collection unit

[0202] via a network platform, a change request data from a Configuration Management (CM) system. The method

[0300] is implemented by the collection unit

[0202] via the network platform. The network platform is a central processing entity, which collects the change request data for changing features, adding new features, parameter adjustments within the network from the CM system. The change request data may comprise at least one of new features rollout and parameter adjustments made in the network within a predefined time interval at cell level or geographical level. In an implementation, the change request may be associated with cell level, region or geography level based on configured by a network administrator, a service provider or any other authorised person. In an implementation, the predefined time interval may be any, such as an hour, a previous hour, a previous day, a set of days, etc. In an implementation, the changing features may be associatedwith rolling new service(s) or feature(s), such as speed and premium subscription service, and parameter adjustments may be associated with frequency, latency and throughput in the network.

[0059] Next, at step 306, the method

[0300] comprises retrieving, by a retrieving unit

[0204] via the network platform, one or more Key Performance Indicators (KPIs) from a Performance Management (PM) entity. The method

[0300] is further implemented by the retrieving unit

[0204] , After collecting the change request data from the collection unit

[0202] , the retrieving unit

[0204] may retrieve one or more KPIs such as, but not limited to, fault, configuration, accounting, performance, security) FCAPs KPIs from the PM entity. The retrieved one or more KPIs are used for validation of Fault, Configuration, Accounting, Performance, and security (FCAPS) related KPIs. In an implementation, the retrieving unit

[0204] may comprise one or more algorithmic or processing engine, which retrieve performance KPIs from the PM system for validating the FCAPs-related KPIs.

[0060] Next, at step 308, the method

[0300] comprises analysing, by a processing unit

[0206] via the network platform, a set of change impacts based on the retrieved one or more KPIs. The method

[0300] is implemented by the processing unit

[0206] of the system

[0200] , The processing unit

[0206] may analyse the set of change impacts based on the retrieved one or more KPIs. The set of change impacts may be any, such as, but not limited to, fault detection rate, alarm frequency, configuring compliance rate, configuring error rate, billing accuracy, resource utilizing rate, network throughput, latency, number of security breach and unauthorised access attempts. The analysis of the change impacts may be performed by a Change Impact Validation (CIV) engine. The CIV engine is configured to generate a pre-post analysis report including a detailed computation of a percentage improvement versus a percentage degradation or no impact, as a result of the network changes. The pre-post analysis report may contain the analysed change impact with timestamps, cause of changed parameter, and rolling features. Further, the pre-post analysis may comprise detecting one or more anomalies to enable a network management team to take actions for resolution of the one or more anomalies. The analysed report is accessed by the network management team via a Monitoring and Dashboard (MD) entity. In an implementation, the authorised person of the network management team may take the action such as hold or cancel the rolling new feature, parameters change due to anomaly detection. The anomaly may include signal / service conflict or degradation of the existing service and overall performance of the network service.

[0061] Next, at step 310, the method

[0300] comprises reporting, by the processing unit

[0206] via the network platform, the analysed set of change impacts in a report via Work Order (WO) entity. After analysing the set of change impacts, the processing unit

[0206] may report the analysed set of change impacts in the report via WO entity may comprise sending one or more statistical readings to an optimization team for their validation. The reported set of changes may include service down, frequency interference, call drops and poor latency. In an implementation, the WO entity may facilitate management of communication between the optimization team and other operational teams.

[0062] Next, at step 312, the method

[0300] comprises triggering, by the processing unit

[0206] via the network platform, a response through the CM system for the reported set of change impacts upon reaching a pre-defined degradation threshold. The processing unit

[0206] may trigger the response. The response may correspond to initiating an action in an event a degradation factor or percentage of the analysed set of impact changes breaches a predetermined threshold level. In an implementation, the processing unit

[0206] is configured to automatically trigger the response through the CM system for the reported set of change impacts upon reaching a pre-defined degradation threshold, so as to revert the changes made to the network. The reported set of changes may include service down, frequency interference, call drops and poor latency. In an implementation, the degradation threshold may be associated with a number of call drops, latency and throughput. In an implementation, the CM system may itself trigger the response. In an implementation, the CM system may send the response to an auto-trigger system, which triggers the response for the reported set of change impacts for reaching the degradation threshold.

[0063] In an exemplary implementation, the impacts for network configuration changes are monitored via a closed-loop monitoring. The closed loop monitoring system integrates monitoring, auto-validation, rapid optimization, and reporting to associated teams within the communication network. The closed loop monitoring system optimizes the monitoring process, finely adjusts Fault, Configuration, Accounting, Performance, Security (FCAPS) related issues, from the cell level to a higher geographical level, for swift observations and corrective actions.

[0064] Thereafter, the method

[0300] terminates at step

[0314] ,

[0065] Referring to FIG. 4, an exemplary block diagram of a system

[0400] for monitoring impacts for network configuration changes is shown, in accordance with the exemplaryimplementations of the present disclosure. The system

[0400] may have a Network Platform

[0402] , a Configuration Management (CM) System

[0404] , a Performance Monitoring (PM) System

[0406] , a Monitoring and Dashboard (MD) System

[0408] and a Work Order (WO) System

[0410] , The Network Platform

[0402] may have MD interface with MD System

[0408] , PM interface with PM system

[0406] , TT Micro Service Interface with WO System

[0410] , and CM interface with CM System

[0404] ,

[0066] Network Platform

[0402] is a central processing entity, which collects the change request data for changing features, adding new features, parameter adjustments within the network. The network platform

[0402] may have one or more processing engine or algorithmic engine for analysing and processing the collected data from the other entities or system.

[0067] Configuration Management (CM) System

[0404] facilitates collection of crucial change request data from the network. This data provides insights into any modifications, such as new features rollout or parameter adjustments, made in the network within the last hour or the previous day.

[0068] Performance Monitoring (PM) System

[0406] may comprise one or more algorithm engine or a set of instructions. After collecting the change request data, the algorithm engine or set of instructions retrieves performance Key Performance Indicators (KPIs). These KPIs are used for the validation of FCAPS-related (Fault, Configuration, Accounting, Performance, Security) KPIs. Further, the PM system

[0406] may use Change Impact Validation (CIV) Engine or set of instructions for validating the impacts of the change. The PM system

[0406] may generate a PrePost analysis report that includes a detailed computation of the percentage improvement versus percentage degradation or no impact resulting from the stated changes or anomalies detection.

[0069] Monitoring and Dashboard (MD) System

[0408] reports all statistical readings to an optimization team for their validation of change data in the network.

[0070] Work Order (WO) System

[0410] facilitates team communication in the network. It maintains continuous monitoring of the effects of the implemented changes.

[0071] In another embodiment, the present system and method may provide monitoring impacts for network configurations changes with other communication network higher than 5Gnetwork (e.g., 6G network), lower than 5G network (e.g., 4G network) and other wireless communication network.

[0072] In another embodiment, the present system and method may provide monitoring impacts for network configuration changes in a centralised manner, which monitor multiple changes performed by different organisation teams and their impacts in the network.

[0073] The present disclosure may relate to a non-transitory computer readable storage medium storing instructions for monitoring of impacts for network configuration changes, the instructions include executable code which, when executed by one or more units of a system, causes: a collection unit

[0202] of the system to collect, via a network platform, a change request data from a Configuration Management (CM) system; a retrieving unit

[0204] of the system to retrieve, via the network platform, one or more Key Performance Indicators (KPIs) from a Performance Management (PM) entity; a processing unit

[0206] of the system to analyse, via the network platform, a set of change impacts based on the retrieved one or more KPIs; report, via the network platform, the analysed set of change impacts in a report via Work Order (WO) entity; and trigger, via the network platform, a response through the CM system for the reported set of change impacts upon reaching a pre-defined degradation threshold.

[0074] As is evident from the above, the present disclosure provides a technically advanced solution of an efficient system and method for monitoring impacts for network configuration changes. The present system and method provide a solution for optimizing and removing FCAPS or KPI related issues, from the cell level to a higher geographical level, for swift observations and corrective actions. The present disclosure provides a method and system, which collect change request data and performance KPIs, and generate Pre-Post analysis reports, enabling the optimization team to validate changes and automatically revert them if degradation factor exceeds predefined thresholds. The present disclosure provides a method and system, which gather change request data, retrieve performance KPIs, execute change impact validation, report through Work Order system, automatic trigger based on degradation thresholds, and address anomalies. The present disclosure provides a solution which integrates data collection, algorithmic validation, automatic adjustments, and optimizing network performance, which saves significant amounts of human labour and hours.

[0075] While considerable emphasis has been placed herein on the disclosed embodiments, it will be appreciated that many embodiments can be made and that many changes can be made to the embodiments without departing from the principles of the present disclosure. These and other changes in the embodiments of the present disclosure will be apparent to those skilled in the art, whereby it is to be understood that the foregoing descriptive matter to be implemented is illustrative and non-limiting.

Claims

We Claim:

1. A method for monitoring of impacts for network configuration changes, the method comprising:- collecting, by a collection unit [202] via a network platform, a change request data from a Configuration Management (CM) system;- retrieving, by a retrieving unit [204] via the network platform, one or more Key Performance Indicators (KPIs) from a Performance Management (PM) entity;- analysing, by a processing unit [206] via the network platform, a set of change impacts based on the retrieved one or more KPIs;- reporting, by the processing unit [206] via the network platform, the analysed set of change impacts in a report via Work Order (WO) entity; and- triggering, by the processing unit [206] via the network platform, a response through the CM system for the reported set of change impacts upon reaching a pre-defined degradation threshold.

2. The method as claimed in claim 1, wherein the change request data comprising at least one of new features rollout and parameter adjustments made in the network within a predefined time interval at cell level or geographical level.

3. The method as claimed in claim 1, wherein the retrieved one or more KPIs are used for validation of Fault, Configuration, Accounting, Performance, and security (FCAPS) related KPIs.

4. The method as claimed in claim 1, wherein analysing the set of change impacts based on the retrieved one or more KPIs is performed by a Change Impact Validation (CIV) engine, wherein the CIV engine generates a pre-post analysis report including a detailed computation of a percentage improvement versus a percentage degradation or no impact resulting from the network changes.

5. The method as claimed in claim 1, wherein reporting the analysed set of change impacts in the report comprises sending one or more statistical readings to an optimization team for their validation.

6. The method as claimed in claim 1 , wherein triggering the response corresponds to initiating an action in an event a degradation factor or percentage of the analysed set of impact changes breaches a predetermined threshold level.

7. The method as claimed in claim 4, wherein the pre-post analysis comprises detecting one or more anomalies to enable a network management team to take actions for resolution of the one or more anomalies.

8. The method as claimed in claim 7, wherein the analysed report is accessed by the network management team via a Monitoring and Dashboard (MD) entity.

9. The method as claimed in claim 1, wherein the impacts for network configuration changes are monitored via a closed-loop monitoring.

10. A system for monitoring of impacts for network configuration changes, the system comprising: a collection unit [202] configured to: o collect, via a network platform, a change request data from a Configuration Management (CM) system; a retrieving unit [204] configured to: o retrieve, via the network platform, one or more Key Performance Indicators (KPIs) from a Performance Management (PM) entity; a processing unit [206] configured to: o analyse, via the network platform, a set of change impacts based on the retrieved one or more KPIs; o report, via the network platform, the analysed set of change impacts in a report via Work Order (WO) entity; and o trigger, via the network platform, a response through the CM system for the reported set of change impacts upon reaching a pre-defined degradation threshold.

11. The system as claimed in claim 10, wherein the change request data comprising at least one of new features rollout and parameter adjustments made in the network within a predefined time interval at cell level or geographical level.

12. The system as claimed in claim 10, wherein retrieved one or more KPIs are used for validation of Fault, Configuration, Accounting, Performance, and security (FCAPS) related KPIs.

13. The system as claimed in claim 10, wherein the processing unit [206] is configured to analyse the set of change impacts based on the retrieved one or more KPIs via a Change Impact Validation (CIV) engine, wherein the CIV engine generates a pre-post analysis report including a detailed computation of a percentage improvement versus a percentage degradation or no impact resulting from the network changes.

14. The system as claimed in claim 10, wherein reporting the analysed set of change impacts in the report comprises sending one or more statistical readings to an optimization team for their validation.

15. The system as claimed in claim 10, wherein triggering the response corresponds to initiating an action in an event a degradation factor or percentage of the analysed set of impact changes breaches a predetermined threshold level.

16. The system as claimed in claim 13, wherein the pre-post analysis comprises detecting one or more anomalies to enable a network management team to take actions for resolution of the one or more anomalies.

17. The system as claimed in claim 16, wherein the analysed report is accessed by the network management team via a Monitoring and Dashboard (MD) entity.

18. The system as claimed in claim 10, wherein the impacts for network configuration changes are monitored via a closed-loop monitoring.

19. A non-transitory computer readable storage medium, storing instructions for monitoring of impacts for network configuration changes, the instructions comprising executable code which, when executed by one or more units of a system, causes:- a collection unit [202] of the system to collect, via a network platform, a change request data from a Configuration Management (CM) system;- a retrieving unit [204] of the system to retrieve, via the network platform, one or more Key Performance Indicators (KPIs) from a Performance Management (PM) entity;- a processing unit [206] of the system to analyse, via the network platform, a set of change impacts based on the retrieved one or more KPIs; - the processing unit [206] of the system to report, via the network platform, the analysed set of change impacts in a report via Work Order (WO) entity; and- the processing unit [206] of the system to trigger, via the network platform, a response through the CM system for the reported set of change impacts upon reaching a predefined degradation threshold.

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