FORM 2
THE PATENTS ACT, 1970 (39 OF 1970) & THE PATENT RULES, 2003
COMPLETE SPECIFICATION
(See section 10 and rule 13)
“METHOD AND SYSTEM FOR MONITORING OF IMPACTS FOR NETWORK CONFIGURATION CHANGES”
We, Jio Platforms Limited, an Indian National, of Office - 101, Saffron, Nr. Centre Point, Panchwati 5 Rasta, Ambawadi, Ahmedabad - 380006, Gujarat, India.
The following specification particularly describes the invention and the manner in which it is to be performed.

METHOD AND SYSTEM FOR MONITORING OF IMPACTS FOR NETWORK CONFIGURATION CHANGES
FIELD 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), Network Exposure 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 Performance Indicators (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 pre-defined 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.
5 [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)
10 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
15 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
20 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,
25 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.
30
6

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. 5
[0020] It is an object 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.
10 [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
15 if degradation factor or percentage may exceed predefined thresholds.
DESCRIPTION OF THE DRAWINGS
[0022] The accompanying drawings, which are incorporated herein, and
20 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
25 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.
7

[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. 5
[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.
10 [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
15 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. 20
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
25 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
8

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
5 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
10 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
15 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
20 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 operations may be re-arranged.
A process is terminated when its operations are completed but could have additional
25 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
9

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
5 “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.
10 [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
15 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
20 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 smart-device”, “an electronic device”, “a mobile device”, “a handheld
25 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,
30 tablet computer, wearable device or any other computing device which is capable
10

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. 5
[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”),
10 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.
15 [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
20 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,
25 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.
11

[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. 5
[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.
10
[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 existing problems in this field of technology by providing a method and a system for monitoring of impacts for network configuration changes.
15
[0041] FIG. 1 illustrates an exemplary block diagram of a computing device
[100] (also referred herein as a computer system [100]) 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
20 device [100] may also implement a method for monitoring of impacts for network
configuration changes utilising the system. In another implementation, the computing device [100] itself implements the method for monitoring of impacts for network configuration changes using one or more units configured within the computing device [100], wherein said one or more units are capable of
25 implementing the features as disclosed in the present disclosure.
[0042] The computing device [100] may include a bus [102] or other
communication mechanism for communicating information, and a hardware processor [104] coupled with bus [102] for processing information. The hardware
12

processor [104] may be, for example, a general-purpose microprocessor. The
computing device [100] may also include a main memory [106], such as a random-
access memory (RAM), or other dynamic storage device, coupled to the bus [102]
for storing information and instructions to be executed by the processor [104]. The
5 main memory [106] also may be used for storing temporary variables or other
intermediate information during execution of the instructions to be executed by the
processor [104]. Such instructions, when stored in non-transitory storage media
accessible to the processor [104], render the computing device [100] into a special-
purpose machine that is customized to perform the operations specified in the
10 instructions. The computing device [100] further includes a read only memory
(ROM) [108] or other static storage device coupled to the bus [102] for storing static information and instructions for the processor [104].
[0043] A storage device [110], such as a magnetic disk, optical disk, or solid-
15 state drive is provided and coupled to the bus [102] for storing information and
instructions. The computing device [100] may be coupled via the bus [102] to a
display [112], 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 [114], including
20 alphanumeric and other keys, touch screen input means, etc. may be coupled to the
bus [102] for communicating information and command selections to the processor
[104]. Another type of user input device may be a cursor controller [116], such as
a mouse, a trackball, or cursor direction keys, for communicating direction
information and command selections to the processor [104], and for controlling
25 cursor movement on the display [112]. 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 [100] may implement the techniques described
30 herein using customized hard-wired logic, one or more ASICs or FPGAs, firmware
13

and/or program logic which in combination with the computing device [100] causes
or programs the computing device [100] to be a special-purpose machine.
According to one implementation, the techniques herein are performed by the
computing device [100] in response to the processor [104] executing one or more
5 sequences of one or more instructions contained in the main memory [106]. Such
instructions may be read into the main memory [106] from another storage medium,
such as the storage device [110]. Execution of the sequences of instructions
contained in the main memory [106] causes the processor [104] to perform the
process steps described herein. In alternative implementations of the present
10 disclosure, hard-wired circuitry may be used in place of or in combination with
software instructions.
[0045] The computing device [100] also may include a communication
interface [118] coupled to the bus [102]. The communication interface [118]
15 provides a two-way data communication coupling to a network link [120] that is
connected to a local network [122]. For example, the communication interface [118] 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
20 interface [118] 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 [118] sends and receives electrical, electromagnetic or optical signals that carry digital data streams representing various types of information.
25
[0046] The computing device [100] can send messages and receive data,
including program code, through the network(s), the network link [120] and the communication interface [118]. In the Internet example, a server [130] might transmit a requested code for an application program through the Internet [128], the
30 ISP [126], the local network [122], host [124] and the communication interface
14

[118]. The received code may be executed by the processor [104] as it is received, and/or stored in the storage device [110], or other non-volatile storage for later execution.
5 [0047] The computing device [100] encompasses a wide range of electronic
devices capable of processing data and performing computations. Examples of the
computing device [100] 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
10 such as data storage, retrieval, and analysis. Additionally, the computing device
[100] 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.
15 [0048] Referring to FIG. 2, an exemplary block diagram of a system [200] for
monitoring of impacts for network configuration changes, is shown, in accordance with the exemplary implementations of the present disclosure. The system [200] comprises at least one collection unit [202], at least one retrieving unit [204] and at least one processing unit [206]. Also, all of the components/ units of the system
20 [200] 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 [200] may comprise multiple such units or the system [200] may comprise any such numbers of said units, as required to implement the features of
25 the present disclosure. Further, in an implementation, the system [200] may be
present in a user equipment (UE) to implement the features of the present disclosure. The system [200] may be a part of the UE or may be independent of but in communication with the UE. In another implementation, the system [200] may reside in a server or a network entity. In yet another implementation, the system
30 [200] may reside partly in the server/ network entity and partly in the UE.
15

[0049] The system [200] is configured for monitoring of impacts for network
configuration changes, with the help of the interconnection between the components/units of the system [200]. 5
[0050] The system [200] comprises a collection unit [202]. The collection unit
[202] 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,
10 adding new features, parameter adjustments within the network 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
15 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
20 parameter adjustments may be associated with frequency, latency and throughput
in the network.
[0051] The system [200] comprises a retrieving unit [204]. The retrieving unit
[204] is configured to retrieve, via the network platform, one or more Key
25 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
30 KPIs of all network elements. The collection unit [202] is communicatively coupled
16

with the retrieving unit [204]. After collecting the change request data from the
collection unit [202], the retrieving unit [204] 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
5 for validation of Fault, Configuration, Accounting, Performance, and security
(FCAPS) related KPIs. In an implementation, the retrieving unit [204] may comprise one or more algorithmic or processing engines, which retrieve performance KPIs from the PM system for validating the FCAPs-related KPIs.
10 [0052] The system [200] comprises a processing unit [206]. The processing
unit [206] is configured to analyse, via the network platform, a set of change impacts based on the retrieved one or more KPIs. The retrieving unit [204] is communicatively coupled with the processing unit [206]. The processing unit [206] is configured to analyse the set of change impacts based on the retrieved one or
15 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
20 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
25 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
17

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 [206] is further configured to report, via the
5 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 [206] 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
10 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 [206] is further configured to trigger, via the
15 network platform, a response through the CM system for the reported set of change
impacts upon reaching a pre-defined 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 [206] is configured
20 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
[206] is configured to automatically trigger the response through the CM system
for the reported set of change impacts upon reaching a pre-defined degradation
25 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
18

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
5 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
10 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
15 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
20 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 [300] for
monitoring of impacts for network configuration changes, in accordance with
25 exemplary implementations of the present disclosure is shown. In an
implementation the method [300] is performed by the system [200]. Further, in an implementation, the system [200] may be present in a server device to implement the features of the present disclosure. Also, as shown in FIG. 3, the method [300] starts at step 302.
30
19

[0058] At step 304, the method [300] comprises collecting, by a collection unit
[202] via a network platform, a change request data from a Configuration
Management (CM) system. The method [300] is implemented by the collection unit
[202] via the network platform. The network platform is a central processing entity,
5 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,
10 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
15 parameter adjustments may be associated with frequency, latency and throughput
in the network.
[0059] Next, at step 306, the method [300] comprises retrieving, by a retrieving
unit [204] via the network platform, one or more Key Performance Indicators
20 (KPIs) from a Performance Management (PM) entity. The method [300] is further
implemented by the retrieving unit [204]. After collecting the change request data from the collection unit [202], the retrieving unit [204] 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
25 for validation of Fault, Configuration, Accounting, Performance, and security
(FCAPS) related KPIs. In an implementation, the retrieving unit [204] may comprise one or more algorithmic or processing engine, which retrieve performance KPIs from the PM system for validating the FCAPs-related KPIs.
20

[0060] Next, at step 308, the method [300] comprises analysing, by a
processing unit [206] via the network platform, a set of change impacts based on
the retrieved one or more KPIs. The method [300] is implemented by the processing
unit [206] of the system [200]. The processing unit [206] may analyse the set of
5 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
10 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,
15 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
20 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 [300] comprises reporting, by the
25 processing unit [206] 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 [206] 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
30 service down, frequency interference, call drops and poor latency. In an
21

implementation, the WO entity may facilitate management of communication between the optimization team and other operational teams.
[0062] Next, at step 312, the method [300] comprises triggering, by the
5 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. The processing unit [206] 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
10 implementation, the processing unit [206] 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
15 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.
20
[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
25 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 [300] terminates at step [314].
30
22

[0065] Referring to FIG. 4, an exemplary block diagram of a system [400] for
monitoring impacts for network configuration changes is shown, in accordance with
the exemplary implementations of the present disclosure. The system [400] may
have a Network Platform [402], a Configuration Management (CM) System [404],
5 a Performance Monitoring (PM) System [406], a Monitoring and Dashboard (MD)
System [408] and a Work Order (WO) System [410]. The Network Platform [402] may have MD interface with MD System [408], PM interface with PM system [406], TT Micro Service Interface with WO System [410], and CM interface with CM System [404].
10
[0066] Network Platform [402] 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 [402] may have one or more processing engine or algorithmic engine for analysing and processing the collected
15 data from the other entities or system.
[0067] Configuration Management (CM) System [404] 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
20 network within the last hour or the previous day.
[0068] Performance Monitoring (PM) System [406] 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
25 Indicators (KPIs). These KPIs are used for the validation of FCAPS-related (Fault,
Configuration, Accounting, Performance, Security) KPIs. Further, the PM system [406] may use Change Impact Validation (CIV) Engine or set of instructions for validating the impacts of the change. The PM system [406] may generate a Pre-Post analysis report that includes a detailed computation of the percentage improvement
23

versus percentage degradation or no impact resulting from the stated changes or anomalies detection.
[0069] Monitoring and Dashboard (MD) System [408] reports all statistical
readings to an optimization team for their validation of change data in the network.
[0070] Work Order (WO) System [410] 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 5G network (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 [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; 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.

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.