System and method for network node configuration management

Abstract

The present disclosure relates to a system (102) and a method (500) for network node configuration management. The system may comprise a memory (204) and one or more processors (202). A requestor module (212) may receive at least one configuration change request for a one or more target network nodes, including execution parameters. A database (210) may store configuration change requests. A verification module (214) may compare execution parameters of the received request with stored requests. When a match is found, a scheduling module (218) may determine available time slots, and a recommendation module (220) may propose at least one time slot for execution. The system may efficiently manage configuration changes, avoid conflicts, and optimize network performance. The invention may have applications in radio access network (RAN) management and telecommunications infrastructure maintenance.

Description

SYSTEM AND METHOD FOR NETWORK NODE CONFIGURATIONMANAGEMENTRESERVATION OF RIGHTS

[0001] A portion of the disclosure of this patent document contains material, which is subject to intellectual property rights such as, but are not limited to, copyright, design, trademark, Integrated Circuit (IC) layout design, and / or trade dress protection, belonging to Jio Platforms Limited (JPL) or its affiliates (hereinafter referred as owner). The owner has no objection to the facsimile reproduction by anyone of the patent document or the patent disclosure, as it appears in the Patent and Trademark Office patent files or records, but otherwise reserves all rights whatsoever. All rights to such intellectual property are fully reserved by the owner.FIELD OF THE DISCLOSUREThe embodiments of the present disclosure generally relate to the field of telecommunications network. In particular, the present disclosure relates to a system and a method for network node configuration management.DEFINITION

[0002] As used in the present disclosure, the following terms are generally intended to have the meaning as set forth below, except to the extent that the context in which they are used to indicate otherwise.

[0003] Network node refers to a device or data point in a larger network, typically a component of a Radio Access Network (RAN) such as a base station, radio unit, router, or switch.

[0004] Configuration change request refers to a request to modify specific parameters or settings of a network node, including details such as the target node, the parameter to be changed, and the execution time.

[0005] Execution parameters refer to the set of details associated with a configuration change request, typically including the execution date, execution time, and identifier of the target network node.

[0006] Requestor module refers to the component of the system that receives and initially processes configuration change requests from various sources.

[0007] Verification module refers to the component that compares the execution parameters of a new configuration change request with those of previously stored requests to identify potential conflicts.

[0008] Execution module refers to the component responsible for implementing approved configuration changes on the target network nodes.

[0009] Scheduling module refers to the component that determines available time slots for executing configuration changes, especially when conflicts are detected.

[0010] Recommendation module refers to the component that proposes optimal time slots for executing configuration changes based on various criteria such as network traffic and existing schedules.

[0011] Configuration conflict refers to a situation where two or more configuration change requests have conflicting execution parameters, potentially leading to network instability if executed simultaneously.

[0012] Time slot refers to a specific period allocated for the execution of a configuration change on a network node.

[0013] Low-traffic period refers to a time when the network experiences reduced data transmission and user activity, making it suitable for implementing configuration changes with minimal disruption.

[0014] Queue management refers to the process of organizing and prioritizing multiple configuration change requests for sequential execution on a network node.

[0015] Cool-down period refers to a predefined time interval enforced between successive configuration changes on a network node to ensure stability and proper evaluation of each change's impact.BACKGROUND OF THE DISCLOSURE

[0016] The following description of related art is intended to provide background information pertaining to the field of the disclosure. This section may include certain aspects of the art that may be related to various features of 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.

[0017] Wireless communication technology has evolved rapidly over the past few decades, progressing from analog voice services to the current fifth generation (5G) technology offering high-speed data, low latency, and multi-device connectivity. This evolution continues with the development of sixth generation (6G) technology, which promises even greater advancements in areas such as terahertz communications, artificial intelligence integration, and holographic telepresence. These ongoing advancements have led to increasingly complex network infrastructures, particularly in the realm of network nodes that form the backbone of wireless communication systems. As we transition from 5G to 6G, the complexity and sophistication of these network nodes are expected to increase exponentially, necessitating more advanced methods of network configuration management.

[0018] A network node, in the context of wireless communications, refers to a point in the network where data is created, received, or transmitted. In mobile networks, these nodes are often part of what is known as a Radio Access Network (RAN). The RAN consists of multiple network nodes that wirelessly connect user equipment to the core network. As RANs grow more sophisticated, the network nodes within these RANs require frequent configuration changes to accommodate new services, improve performance, and address emerging challenges. These configuration changes are crucial for maintaining optimal network performance and meeting user demands for high-quality, reliable services. However, managing these configuration changes across multiple RAN nodes presents significant challenges.

[0019] Traditional methods for implementing configuration changes in RAN nodes often lack coordination and fail to consider potential conflicts between multiple change requests. The absence of a systematic approach to manage configuration changes can lead to several issues. Simultaneous or overlapping configuration changes on the same RAN node may result in conflicts, potentially causing network instability or service disruptions. Without proper scheduling mechanisms, configuration changes may be implemented during peak traffic periods, negatively impacting user experience and network performance.

[0020] Network operators often struggle to maintain a clear overview of planned and executed configuration changes across multiple RAN nodes, making it difficult to troubleshoot issues or plan future changes effectively. Traditional methods often require significant manual efforts from network operators to coordinate and implement configuration changes, increasing the risk of human error and reducing operational efficiency. Uncoordinated configuration changes can lead to unexpected interactions between RAN elements, potentially degrading overall network performance. In the absence of a structured change management system, reverting problematic changes or identifying the source of issues becomes challenging. Thus, the traditional methods face difficulty in efficiently managing and coordinating configuration changes across multiple RAN nodes while minimizing conflicts and optimizing network performance.

[0021] The challenges highlight the need for an intelligent and automated system to manage configuration changes in RAN nodes effectively. Such a system should be capable of coordinating multiple change requests, avoiding conflicts, optimizing scheduling, and providing clear visibility into the change management process.

[0022] There is, therefore, a need in the art to provide a method and a system that can overcome the shortcomings of the existing prior arts by offering an intelligent, automated approach to RAN node configuration management.SUMMARY OF THE DISCLOSURE

[0023] In an exemplary embodiment, a system for network node configuration management is described. The system comprises a memory and one or more processors coupled to the memory. The system includes a requestor module implemented by the one or more processors and configured to receive at least one configuration change request for one or more target network nodes from a plurality of network nodes. Each configuration change request includes a respective set of execution parameters, and a single configuration change request can be applicable to multiple target network nodes. The system includes a database configured to store configuration change requests and a verification module implemented by the one or more processors. The verification module is configured to retrieve, from the database, at least one previously stored configuration change request related to the one or more target network nodes, and compare the set of execution parameters of the received at least one configuration change request with execution parameters of each previously stored configuration change request related to the one or more target network nodes to identify potential conflicts. The system further includes a scheduling module implemented by the one or more processors and configured to schedule a modified execution time for the received at least one configuration change request based on network availability analysis when the set of execution parameters of the received at least one configuration change request matches with the at least one set of execution parameters of the at least one previously stored configuration change request.

[0024] In some embodiments, the scheduling module is further configured to schedule the modified execution time by determining available time slots for executing the received at least one configuration change request. The system further comprises a recommendation module implemented by the one or more processorsand configured to propose at least one time slot from the determined available time slots for executing the received at least one configuration change request. This allows the system to not only identify when conflicts exist between configuration change requests, but also to intelligently determine appropriate alternative execution times and recommend specific time slots that minimize network disruption while maintaining efficient scheduling of necessary configuration changes.

[0025] In some embodiments, the set of execution parameters comprises an execution date and a time indicating when a configuration change is to be implemented on the target network node, and an identifier of the one or more target network node, a type of configuration change to be performed, a priority level of the at least one configuration change request, and one or more additional operational parameters specific to the requested configuration change.

[0026] In some embodiments, when the set of execution parameters of the received configuration change request does not match the at least one set of execution parameters of the at least one previously stored configuration change request, the one or more processors store the received at least one configuration change request in the database and execute, by an execution module, the stored configuration change request on the target network node at the time specified in the set of execution parameters.

[0027] In some embodiments, the system is configured to handle both scenarios when processing configuration change requests. When the set of execution parameters of the received configuration change request does not match with any previously stored configuration change request, the system stores the received request in the database with its original parameters and executes it on the target network node at the originally specified time. Conversely, when a match is detected and a modified execution time has been scheduled, the system stores the configuration change request in the database with the modified execution time andexecutes the request according to this new schedule. This dual-path approach ensures appropriate handling of both conflict-free requests and those requiring rescheduling, maintaining efficient network management in all scenarios.

[0028] In some embodiments, the one or more processors are further configured to arrange and display on a user interface the at least one configuration change requests stored in the database in a calendar format based on the set of execution parameters.

[0029] In some embodiments, the recommendation module is configured with specific criteria for proposing time slots from those determined to be available. The module identifies available time slots for executing the received configuration change request and selects time slots that satisfy multiple optimization criteria. First, it ensures there is no overlap with execution times of previously scheduled configuration changes for the target network node. Second, it maintains a predefined minimum time gap between the proposed change and any existing scheduled changes, allowing the network to stabilize between modifications. Third, it selects time slots that occur during periods of low network traffic, specifically when measured traffic levels fall below predefined thresholds. This multi-criteria approach ensures that configuration changes are scheduled to minimize service disruption while maintaining network stability throughout the change process.

[0030] In another exemplary embodiment, a method for network node configuration management is described. The method comprises receiving, by a requestor module, at least one configuration change request for one or more target network nodes from a plurality of network nodes. Each configuration change request includes a respective set of execution parameters. The method further comprises retrieving, from a database, at least one previously stored configuration change request related to the one or more target network nodes. The method also includes comparing, by a verification module, the set of execution parameters of the received at least one configuration change request with at least one set ofexecution parameters of the at least one previously stored configuration change request. When the set of execution parameters of the received at least one configuration change request matches the at least one set of execution parameters of the at least one previously stored configuration change request, the method comprises scheduling, by a scheduling module, a modified execution time for the received configuration change request based on network availability analysis.

[0031] In some embodiments, scheduling the modified execution time comprises determining, by a scheduling module, available time slots for executing the received configuration change request and proposing, by a recommendation module, at least one time slot from the determined available time slots for executing the received configuration change request.

[0032] In some embodiments, the set of execution parameters comprises an execution date and a time indicating when a configuration change is to be implemented on the one or more target network nodes, an identifier of the one or more target network nodes, a type of configuration change to be performed, a priority level of the configuration change request, and one or more additional operational parameters specific to the requested configuration change.

[0033] In some embodiments, when the set of execution parameters of the received at least one configuration change request does not match the at least one set of execution parameters of the at least one previously stored configuration change request, the method comprises storing the received at least one configuration change request in the database and executing, by an execution module, the stored at least one configuration change request on the one or more target network nodes at the time specified in the set of execution parameters. When the set of execution parameters of the received at least one configuration change request matches with the at least one set of execution parameters of the at least one previously stored configuration change request and a modified execution time has been scheduled, the method comprises storing the received at least oneconfiguration change request in the database with the modified execution time and executing, by the execution module, the stored at least one configuration change request on the one or more target network nodes at the modified execution time.

[0034] In yet another exemplary embodiment, a computer program product comprising a non-transitory computer-readable medium comprising instructions that, when executed by one or more processors, cause the one or more processors to perform a method for network node configuration management is described. The method comprises receiving, by a requestor module, at least one configuration change request for one or more target network nodes from a plurality of network nodes. Each configuration change request includes a respective set of execution parameters. The method further comprises retrieving, from a database, at least one previously stored configuration change request related to the one or more target network nodes. The method also includes comparing, by a verification module, the set of execution parameters of the received at least one configuration change request with at least one set of execution parameters of the at least one previously stored configuration change request. When the set of execution parameters of the received at least one configuration change request matches the at least one set of execution parameters of the at least one previously stored configuration change request, the method comprises scheduling, by a scheduling module, a modified execution time for the received configuration change request based on network availability analysis.

[0035] In yet another exemplary embodiment, a user equipment (UE) communicatively coupled with a system is disclosed. The coupling comprises steps of receiving, by the system, a configuration management connection request from the UE, sending, by the system, an acknowledgment of the configuration management connection request to the UE, and transmitting a plurality of configuration management signals in response to the configuration management connection request. The system is configured for network node configuration management. The system comprises a memory and one or more processors coupledto the memory. The system includes a requestor module implemented by the one or more processors and configured to receive at least one configuration change request for one or more target network nodes from a plurality of network nodes. Each configuration change request includes a respective set of execution parameters, and a single configuration change request can be applicable to multiple target network nodes. The system includes a database configured to store configuration change requests and a verification module implemented by the one or more processors. The verification module is configured to retrieve, from the database, at least one previously stored configuration change request related to the one or more target network nodes and compare the set of execution parameters of the received at least one configuration change request with execution parameters of each previously stored configuration change request related to the one or more target network nodes to identify potential conflicts. The system further includes a scheduling module implemented by the one or more processors and configured to schedule a modified execution time for the received at least one configuration change request based on network availability analysis when the set of execution parameters of the received at least one configuration change request matches with the at least one set of execution parameters of the at least one previously stored configuration change request.

[0036] The foregoing general description of the illustrative embodiments and the following detailed description thereof are merely exemplary aspects of the teachings of this disclosure and are not restrictive.OBJECTIVES OF THE PRESENT DISCLOSURE

[0037] Some of the objectives of the present disclosure, which at least one embodiment herein satisfies are as listed herein below.

[0038] An objective of the present disclosure is to provide a system and a method for network node configuration management.

[0039] Another objective of the present disclosure is to provide a system and a method for avoiding conflicts between multiple network node configuration change requests.

[0040] Another objective of the present disclosure is to provide a system and a method for preventing network outages when executing multiple configuration change requests simultaneously.

[0041] Another objective of the present disclosure is to provide a system and method for efficient scheduling of configuration change requests for network nodes.

[0042] Another objective of the present disclosure is to provide a system and method for automatically detecting potential conflicts between configuration change requests in a network.

[0043] Another objective of the present disclosure is to provide a system and method for maintaining a comprehensive overview of planned and executed configuration changes across multiple network nodes.

[0044] Another objective of the present disclosure is to provide a system and method for optimizing the execution time of configuration change requests to minimize network disruptions.

[0045] Another objective of the present disclosure is to provide a user interface for managing and visualizing configuration change requests in a calendar format.

[0046] Another objective of the present disclosure is to provide a queuing mechanism for sequentially executing configuration change requests on network nodes while enforcing predefined time intervals between executions.

[0047] Other objectives and advantages of the present disclosure will be more apparent from the following description, which is not intended to limit the scope of the present disclosure.BRIEF DESCRIPTION OF DRAWINGS

[0048] The accompanying drawings, which are incorporated herein, and constitute a part of this disclosure, illustrate exemplary embodiments of the disclosed methods and systems in which like reference numerals refer to the same parts throughout the different drawings. Components in the drawings are not necessarily to scale, emphasis instead being placed upon clearly illustrating the principles of the present disclosure. Some drawings may indicate the components using block diagrams and may not represent the internal circuitry of each component. It will be appreciated by those skilled in the art that disclosure of such drawings includes the disclosure of electrical components, electronic components or circuitry commonly used to implement such components.

[0049] FIG. 1 illustrates an exemplary network architecture of a system for network node configuration management, in accordance with embodiments of the present disclosure.

[0050] FIG. 2 illustrates an exemplary a system architecture for the network node configuration management, in accordance with embodiments of the present disclosure.

[0051] FIG. 3 illustrates an exemplary flow diagram of a method for the network node configuration management, in accordance with embodiments of the present disclosure.

[0052] FIG. 4 illustrates another exemplary system architecture for the network node configuration management, in accordance with embodiments of the present disclosure.

[0053] FIG. 5 illustrates an exemplary flow diagram of the method for the network node configuration management, in accordance with embodiments of the present disclosure.

[0054] FIG. 6 illustrates an exemplary computer system in which or with which embodiments of the present disclosure may be implemented.

[0055] The foregoing shall be more apparent from the following more detailed description of the disclosure.LIST OF REFERENCE NUMERALS100 - Network architecture102 - System104- Network106 - Centralized server108-1, 108-2... 108-N - User equipment(s)110-1, 110-2...110-N - Users200, 400 - System architecture202 - One or more processor(s)204- Memory206 - I / O interface(s)208 - Processing module(s)210-Database212- Requestor module214- Verification module216- Execution module218- Scheduling module220- Recommendation module222- Other module(s)300, 500- Flow diagram610 - External Storage Device620 - Bus630 - Main Memory640 - Read Only Memory650 - Mass Storage Device660 - Communication Port670- ProcessorDETAILED DESCRIPTION OF THE DISCLOSURE

[0056] In the following description, for the purposes of explanation, various specific details are set forth in order to provide a thorough understanding of embodiments of the present disclosure. It will be apparent, however, that embodiments of the present disclosure may be practiced without these specific details. Several features described hereafter can each be used independently of one another or with any combination of other features. An individual feature may not address all of the problems discussed above or might address only some of the problems discussed above. Some of the problems discussed above might not be fully addressed by any of the features described herein.

[0057] 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.

[0058] Specific details are given in the following description to provide a thorough understanding of the embodiments. However, it will be understood by one of ordinary skill in the art that the embodiments may be practiced without these specific details. For example, circuits, systems, networks, processes, and other components may be shown as components in block diagram form in order not to obscure the embodiments in unnecessary detail. In other instances, well-known circuits, processes, algorithms, structures, and techniques may be shown without unnecessary detail in order to avoid obscuring the embodiments.

[0059] 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 can be performed in parallel or concurrently. In addition, the order of the operations may be re-arranged. A process is terminated when its operations are completed but could have additional steps not included in a figure. A process may correspond to a method, a function, a procedure, a subroutine, a subprogram, etc. When a process corresponds to a function, its termination can correspond to a return of the function to the calling function or the main function.

[0060] 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.

[0061] Reference throughout this specification to “one embodiment” or “an embodiment” or “an instance” or “one instance” means that a particular feature, structure, or characteristic described in connection with the embodiment is included in at least one embodiment of the present disclosure. Thus, the appearances of the phrases “in one embodiment” or “in an embodiment” in various places throughout this specification are not necessarily all referring to the same embodiment. Furthermore, the particular features, structures, or characteristics may be combined in any suitable manner in one or more embodiments.

[0062] The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the disclosure. As used herein, the singular forms “a”, “an” and “the” are intended to include the plural forms as well, unless the context clearly indicates otherwise. It will be further understood that the terms “comprises” and / or “comprising,” when used in this specification, specify the presence of stated features, integers, steps, operations, elements, and / or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and / or groups thereof. As used herein, the term “and / or” includes any and all combinations of one or more of the associated listed items.

[0063] The aspects of the present disclosure are directed to a system and method for network node configuration management. The invention provides an automated approach to efficiently handle multiple configuration change requests for network nodes, prevent conflicts between these requests, and optimize the scheduling of changes to minimize network disruptions.

[0064] High scale networks generally include multiple network nodes. There may be multiple configuration change requests created and executed for these network nodes. However, there is a need to maintain regular verification of the multiple configuration change requests created and executed for the network nodesto avoid conflicts between multiple configuration change requests. Thus, there is a need to prevent network performance degradation due to conflicts between multiple configuration change requests. However, a conflict occurs when two or more configuration change requests have overlapping execution parameters, particularly when they target the same network node at the same or closely proximate times. For example, a conflict would arise if a first configuration change request is scheduled to modify the software of a specific network node on Monday at 2:00 PM, and a second configuration change request attempts to alter the hardware settings of the same node on Monday at 2:30 PM. These requests conflict because executing both could lead to network instability or unexpected behavior.

[0065] The present disclosure allows a user to avoid such conflicts between multiple configuration change request executions. The system enables the user to manage and plan to prevent any future conflicts between multiple configuration change request executions.

[0066] When a new configuration change request is created by the user, the user is allowed to select execution parameters including the time of execution, the date of execution, and a list of target network nodes associated with the new configuration change request.

[0067] The system verifies the execution parameters of the new configuration change request against the execution parameters of already accepted configuration change requests related to the target network nodes. When the execution parameters of the new configuration change request conflict with the execution parameters of already accepted configuration change requests, the system intelligently identifies available time slots and dates.

[0068] The system then proposes a suitable time slot and date to the user for the execution of the new configuration change request. This process ensures thatnew configuration change requests are only accepted when no conflicts are detected with existing planned configuration change requests.

[0069] The various embodiments throughout the disclosure will be explained in more detail with reference to FIGS. 1-6.

[0070] FIG. 1 illustrates an exemplary network architecture (100) of a system (102) for network node configuration management, in accordance with embodiments of the present disclosure.

[0071] As illustrated in FIG. 1, one or more user equipments (108-1, 108- 2...108-N) may be connected to a system (102) for network node configuration management in a network environment through a network (104). A person of ordinary skill in the art will understand that the one or more user equipments (108- 1, 108-2...108-N) may be collectively referred to as user equipments (108) and individually referred to as a user equipment (108). The user equipments (108) are operated by users (110-1, 110-2...110-N). The user equipment (108) may be personal computers, laptops, tablets, wristwatch, or any custom-built computing device integrated within a modern diagnostic machine that can connect to a network as an loT (Internet of Things) device. In an embodiment, the user equipment (108) may also be referred to as User Equipment (UE) or user device. Accordingly, the terms “computing device” and “User Equipment” may be used interchangeably throughout the disclosure. In an aspect, the user (110) is a network operator or a field engineer. Further, the network (104) can be configured with a centralized server (106) that stores compiled data.

[0072] In an embodiment, the user equipment (108) may include, but not be limited to, a mobile phone, a tablet, a smartphone, a desktop computer, a laptop computer, or any other device capable of interacting with the system (102) for network node configuration management. The user equipment (108) should possess certain key capabilities to effectively interact with the system. It must have networkconnectivity, enabling it to connect to the internet via various means such as Wi-Fi, cellular data, or wired connections, as the device itself will be the subject of the network performance tests. User interface capabilities, including a screen and input method like a touchscreen, keyboard, or mouse, are essential to allow users to interact with the system's interface, select test parameters, and view results.

[0073] Furthermore, the user equipment should have sufficient processing power to run the necessary software or web applications that communicate with the system (102) and potentially perform local calculations or data processing. It should support compatible software, either through a dedicated application installed on the device or by accessing a web-based interface through a browser, which connects to the system (102) for initiating tests and receiving results. Adequate storage capacity is also beneficial, allowing users to store historical test results or downloaded reports for offline viewing and analysis.

[0074] In an embodiment, the network (104) may include, by way of example but not limitation, one or more of a wireless network, a wired network, an internet, an intranet, a public network, a private network, a packet-switched network, a circuit-switched network, a 4G network, a 5G network, and 6G networks, or some combination thereof. The system (102) may be connected to a centralized server (106). This diverse range of network types ensures that the system can analyze performance across various connectivity scenarios. Wireless networks include cellular networks like 4G, which offers broadband internet for mobile devices, 5G, which provides significantly faster data transfer speeds and lower latency, and the emerging 6G technology, expected to offer even more advanced capabilities such as terabit-per-second data rates and microsecond latency. These cellular networks coexist with other wireless technologies like Wi-Fi. Wired networks, including fiber-optic and Ethernet connections, offer stable, high-speed connectivity. The internet represents the global network of interconnected computer networks, while intranets are private networks within organizations. Public networks are accessible to anyone, whereas private networks restrict access to authorized users. Packet-switched networks, common in internet communications, break data into packets for efficient transmission, while circuit-switched networks, often used in traditional telephone systems, establish dedicated circuits for each communication session. By encompassing this wide array of network types, the system can provide comprehensive performance analysis across the entire spectrum of modern networking technologies.

[0075] Although FIG. 1 shows exemplary components of the network architecture (100), in other embodiments, the network architecture (100) may include fewer components, different components, differently arranged components, or additional functional components than depicted in FIG. 1.

[0076] FIG. 2 illustrates an exemplary a system architecture (200) for the network node configuration management, in accordance with embodiments of the present disclosure.

[0077] Referring to FIG. 2, in an embodiment, the system (102) may include one or more processors (202). The one or more processors (202) may be implemented as one or more microprocessors, microcomputers, microcontrollers, digital signal processors, central processing units, logic circuitries, and / or any devices that process data based on operational instructions. Among other capabilities, the one or more processors (202) may be configured to fetch and execute computer-readable instructions stored in a memory (204) of the system (102). The memory (204) may be configured to store one or more computer- readable instructions or routines in a non-transitory computer readable storage medium, which may be fetched and executed to perform network node configuration management in the network environment.

[0078] In an embodiment, the system (102) may include RO interface(s) (206). The I / O interface(s) (206) may comprise a variety of interfaces, for example, interfaces for data input and output devices, storage devices, and the like. The I / Ointerface(s) (206) may facilitate communication through the system (102). The I / O interface(s) (206) may also provide a communication pathway for one or more components of the system (102). Examples of such components include, but are not limited to, processing module(s) (208), and one or more databases (210) for storing configuration change requests and related data.

[0079] The processing module(s) (208) may include a requestor module (212), a verification module (214), an execution module (216), a scheduling module (218), a recommendation module (220), and other modules (222).

[0080] The requestor module (212) may receive configuration change requests for target network nodes. The verification module (214) may compare the execution parameters of received configuration change requests with those of previously stored requests. The execution module (216) may execute the stored configuration change requests on the target network nodes. The scheduling module (218) may determine available time slots for executing configuration change requests. The recommendation module (220) may propose suitable time slots for executing configuration change requests when conflicts are detected.

[0081] The other modules (222) may include additional components that support and enhance the network node configuration management process. These may include an encryption module for securing configuration change request data during transmission, a decryption module for processing encrypted data at the server side, a conflict detection module for identifying potential conflicts between configuration change requests, a queue management module for maintaining and managing queues of configuration change requests for each network node, and an analysis module for optimizing the scheduling of configuration changes and monitoring the overall health of the network. The other modules (222) may also include a user interface module for arranging and displaying configuration change requests in a calendar format, and a monitoring module for detecting potential conflicts between configuration change requests across multiple network nodes.These other modules (222) work in conjunction with the main processing modules to ensure comprehensive, secure, and efficient network node configuration management across various network conditions and node types.

[0082] In an embodiment, the processing module(s) (208) may be implemented as a combination of hardware and programming to implement one or more functionalities of the processing module(s) (208). For example, the programming for the processing module(s) (208) may be processor-executable instructions stored on a non-transitory machine-readable storage medium and the hardware for the processing module(s) (208) may comprise a processing resource (for example, one or more processors), to execute such instructions.

[0083] Although FIG. 2 shows exemplary components of the system (102), in other embodiments, the system (102) may include fewer components, different components, differently arranged components, or additional functional components than depicted in FIG. 2.

[0084] The present invention may relate to a system (102) for network node configuration management, particularly focusing on Radio Access Network (RAN) nodes. In the context of this invention, network node configuration management may refer to the process of planning, implementing, monitoring, and controlling changes to the settings and parameters of devices within a radio access network. These devices, referred to as RAN nodes, may include base stations, remote radio heads, small cells, or any other equipment that forms part of the radio access network infrastructure and requires configuration to function properly within the network.

[0085] The system (102) may comprise a memory (204) and one or more processors (202) coupled to the memory (204). The memory (204) may be any suitable form of computer-readable storage medium capable of storing data and instructions. The memory (204) may include random access memory (RAM), read-only memory (ROM), flash memory, solid-state drives (SSDs), or hard disk drives (HDDs). The nature of the memory may be volatile, non-volatile, or a combination of both, depending on the specific implementation requirements of the system and the need for data persistence across system restarts or power cycles.

[0086] The one or more processors (202) may be configured to execute a set of instructions stored in the memory (204) to perform various operations related to RAN node configuration management. These instructions may form the software components of the system, implementing the various modules and functionalities required for effective management of RAN node configurations. The set of instructions may be organized into one or more computer programs, each designed to carry out specific tasks within the overall RAN node configuration management process.

[0087] For instance, one set of instructions may implement a graphical user interface (GUI) that allows network administrators to interact with the system, view scheduled configuration changes for RAN nodes, and input new change requests. This interface may be designed to provide a clear overview of the RAN topology, highlighting nodes that have pending configuration changes or potential conflicts. Another set of instructions may implement the conflict detection algorithms that compare newly received configuration change requests with previously scheduled changes for RAN nodes. These algorithms may take into account the specific requirements and constraints of radio access networks, such as the need to maintain coverage and capacity while implementing changes.

[0088] The system may also include instructions for handling the communication protocols necessary to interact with the various RAN nodes when executing configuration changes. These protocols may be specific to the types of RAN equipment being managed, potentially including support for multiple vendors and technologies such as 4G Long Term Evolution (LTE) and 5G New Radio (NR).

[0089] The operations related to RAN node configuration management may encompass a wide range of activities crucial for maintaining and optimizing the radio access network. The system may be capable of receiving and processing configuration change requests from network administrators or automated systems, potentially including changes to radio parameters, antenna configurations, or software updates for RAN nodes. The system may store and retrieve this configuration change requests from a database, maintaining a comprehensive record of all planned and executed changes across the radio access network.

[0090] The system may analyze potential conflicts between multiple configuration change requests, taking into account the unique challenges of RAN environments. For example, it may consider the potential impact of simultaneous changes to neighboring cells on network coverage and performance. The system may then schedule configuration changes to minimize disruptions to the radio access network, potentially coordinating changes across multiple nodes to maintain optimal network performance.

[0091] When it comes to executing configuration changes on target RAN nodes, the system may implement procedures to ensure the integrity of the network. This may include step-by-step execution of changes, real-time monitoring of network performance metrics, and the ability to quickly roll back changes if unexpected issues arise. The system may also generate comprehensive reports on configuration change activities, providing network administrators with valuable insights into the evolution of their radio access network configuration over time.

[0092] An example of how the system may operate in practice within a RAN environment could be as follows: A network administrator may need to update the radio resource management parameters on a group of base stations to optimize network performance in a high-traffic area. The administrator may use the system's user interface to submit a configuration change request, specifying the target base stations, the nature of the changes to the radio parameters, and the desired executiontime window. The system may then check this request against other scheduled changes for the same base stations and neighboring cells. If no conflicts are detected, the system may schedule the change and, at the specified time, execute the parameter updates on the base stations. Throughout the process, it may monitor key performance indicators to ensure the changes have the desired effect on network performance.

[0093] By automating and streamlining these processes specifically for RAN environments, the system (102) may significantly enhance the efficiency and reliability of radio access network management operations. It may reduce the risk of human error in scheduling and executing configuration changes, minimize network performance degradation due to conflicting changes, and provide a centralized platform for managing the complex task of maintaining and optimizing radio access network infrastructure.

[0094] The system (102) may be designed to be scalable, capable of managing configuration changes across radio access networks of varying sizes, from small deployments with a handful of cells to large nationwide networks with thousands of RAN nodes. This scalability may be achieved through efficient data structures, distributed processing capabilities, and optimized algorithms for handling large volumes of configuration change requests across diverse RAN environments.

[0095] Furthermore, the system (102) may be designed with extensibility in mind, allowing for the addition of new features or support for new types of RAN nodes as radio access network technologies evolve. This extensibility may be particularly important in the context of ongoing advancements in 5G technology and beyond, where new types of RAN nodes and network architectures may be introduced. The system's modular software architecture and well-defined interfaces between components may facilitate the integration of support for new RAN technologies and vendor-specific equipment as they emerge in the market.

[0096] The system (102) may include a requestor module (212) that may be configured to receive a configuration change request for a target Radio Access Network (RAN) node from a plurality of RAN nodes. This requestor module (212) may serve as the primary interface between network administrators or automated management systems and the configuration management system. It may be designed to handle various types of configuration change requests that are specific to RAN environments, such as updates to radio frequency parameters, modifications to antenna configurations, or software upgrades for base stations.

[0097] The configuration change request received by the requestor module (212) may include a set of execution parameters. These execution parameters may comprise various details related to the execution of the configuration change request, tailored to the unique requirements of RAN nodes. The set of execution parameters may include, but may not be limited to, an execution date, an execution time, and an identifier of the target RAN node. These parameters may be crucial for scheduling and implementing changes in a way that minimizes disruption to the radio access network's operations.

[0098] The execution date specified in the configuration change request may indicate the intended date for implementing the configuration change on the target RAN node. This date may be chosen based on various factors such as network traffic patterns, maintenance windows, or the urgency of the required change. For instance, a network operator may schedule a non-critical software update for a base station during a period of typically low network usage, such as early morning hours, to minimize potential impacts on user experience.

[0099] The execution time parameter may indicate the specific time on the execution date when the change should be applied to the target RAN node. This level of temporal precision may be particularly important in RAN environments where coordinated changes across multiple nodes may be necessary to maintainnetwork stability and performance. For example, when updating neighboring base stations, the execution times may be staggered to ensure continuous coverage in the affected area.[000100] The identifier of the target RAN node included in the execution parameters may uniquely identify the specific RAN node on which the configuration change is to be implemented. This identifier may take various forms depending on the network architecture and naming conventions used by the operator. It may include information such as the node's geographical location, its role in the network hierarchy, or a unique alphanumeric code assigned by the network management system. For instance, the identifier might be "BS_Downtown_01" for a base station in a city center, or "RRH_IndustriaI_05" for a remote radio head in an industrial area.[000101] In addition to these basic parameters, the requestor module (212) may be capable of receiving and processing more complex execution parameters specific to RAN configurations. These may include details such as the specific radio access technology (e.g., 4G LTE, 5G NR) that the change applies to, the affected frequency bands, or the particular network functions (e.g., Radio Resource Management, Self-Organizing Network features) that are being modified.[000102] The requestor module (212) may also be designed to handle bulk configuration change requests that apply to multiple RAN nodes simultaneously. This capability may be particularly useful for network-wide updates or for implementing consistent configurations across a cluster of related nodes. In such cases, the execution parameters may include a list of target RAN node identifiers or may specify selection criteria for the affected nodes, such as all nodes within a certain geographical area or all nodes of a particular equipment type.[000103] The requestor module (212) may also perform initial validation of the received configuration change requests. This validation process may check forcompleteness and correctness of the provided execution parameters, ensuring that all required information is present and in the correct format. For example, it may verify that the specified execution date and time are in the future and that the target RAN node identifier corresponds to an actual node in the network.[000104] Furthermore, the requestor module (212) may be capable of handling different priorities for configuration change requests. The requestor module (212) may allow network administrators to specify the urgency of a change, which could influence how the system processes and schedules the request. High-priority changes, such as security patches or emergency reconfigurations to address network issues, may be flagged for immediate attention and potentially expedited processing by the system.[000105] In scenarios where the configuration change involves complex or interdependent modifications to multiple RAN nodes, the requestor module (212) may support the submission of coordinated change requests. These requests may specify the required sequence of changes across different nodes, ensuring that the system maintains the necessary dependencies when scheduling and executing the modifications.[000106] In the context of evolving RAN technologies, the requestor module (212) may be designed with flexibility to accommodate new types of configuration parameters as they emerge. For instance, as 5G networks introduce concepts like network slicing, the module may be updated to handle configuration change requests specific to creating, modifying, or deleting network slices that span multiple RAN nodes.[000107] The requestor module (212) may also interface with other components of the configuration management system, such as the database storing existing configuration data and scheduled changes. This integration may allow the module to provide users with relevant information while they are formulating theirchange requests, such as the current configuration of the target RAN node or any pending changes that might conflict with the new request.[000108] The system (102) may further include a database (210) that may serve as a central repository for storing previously received and processed configuration change requests related to Radio Access Network (RAN) nodes. This database (210) may play a crucial role in maintaining a comprehensive historical record of all configuration changes proposed, scheduled, and executed across the entire RAN infrastructure. The database may be designed to efficiently handle the large volume of data generated in complex RAN environments, which may include thousands of nodes across various technologies such as 4G LTE, 5G NR, and future radio access technologies.[000109] The database (210) may employ data storage and indexing techniques optimized for quick retrieval and efficient storage of RAN configuration data. It may utilize a schema that reflects the hierarchical nature of RAN architectures, allowing for easy navigation from high-level network elements down to individual node configurations. This structure may facilitate rapid access to relevant data when processing new configuration change requests or analyzing historical trends in network configurations.[000110] The one or more processors (202) of the system may be configured to interact with the database (210) through a set of optimized database operations. These operations may be designed to efficiently retrieve, from the database (210), at least one configuration change request from the previously stored configuration change requests related to a target RAN node. This retrieval process may involve constructing and executing complex queries that filter and sort the stored data based on various criteria relevant to RAN configuration management.[000111] When a new configuration change request is received for a particular RAN node, the retrieval process may begin by querying the database (210) basedon the identifier of the target RAN node. This identifier, which may be a unique code assigned to each element in the radio access network, serves as a primary key for accessing all relevant historical and pending configuration changes associated with that specific node.[000112] The query constructed by the processors may be sophisticated enough to fetch not only the configuration changes directly targeted at the specified RAN node but also changes to related network elements that could potentially impact its operation. For example, when retrieving configuration changes for a particular base station, the query may also fetch changes scheduled for neighboring cells or for the backhaul links connected to that base station. This comprehensive retrieval approach may ensure that the system has a complete picture of the network state when evaluating new change requests.[000113] The retrieval process may also incorporate temporal parameters to focus on relevant time periods. For instance, it may prioritize fetching configuration changes scheduled for the near future, as these are most likely to conflict with new change requests. However, it may also retrieve historical changes from a defined past period, as this information may be valuable for trend analysis or for understanding the recent evolution of the node's configuration.[000114] In addition to retrieving the content of the configuration change requests, the database operations may also fetch associated metadata that provides context for each change. This may include information such as the outcome of previously executed changes, any issues or alarms triggered during past configuration modifications, and performance metrics recorded before and after each change. Such contextual information may be crucial for the system's decisionmaking processes when evaluating and scheduling new configuration changes.[000115] A verification module (214) may be included in the system (102), serving as a critical component in ensuring the integrity and feasibility ofconfiguration changes within the Radio Access Network (RAN) environment. This module may play a pivotal role in maintaining network stability and preventing conflicts that could potentially degrade network performance or disrupt services. The verification module (214) may be designed with a deep understanding of RAN architectures and the interdependencies between various network elements, allowing it to perform sophisticated analyses of proposed configuration changes.[000116] The primary function of the verification module (214) may be to compare the set of execution parameters of a newly received configuration change request with at least one set of execution parameters from previously stored configuration change requests. This comparison process may be far more complex than a simple one-to-one parameter matching, as it may need to consider the intricate relationships between different RAN nodes and the potential ripple effects of configuration changes across the network.[000117] When a new configuration change request is received, the verification module (214) may begin by examining each parameter in the set of execution parameters of the received request. These parameters may include, but may not be limited to, the target RAN node identifier, the proposed execution date and time, the specific configuration changes to be made, and any dependencies or prerequisites for the change. The module may then retrieve the corresponding parameters from previously stored configuration change requests, focusing particularly on changes scheduled for the same time period or affecting the same or neighboring RAN nodes.[000118] The comparison process carried out by the verification module (214) may involve a multi-dimensional analysis of the potential impacts of the proposed change. For instance, when verifying a request to modify the transmission power of a particular base station, the module may not only check for direct conflicts with other scheduled changes to that base station but also analyze how this change mightaffect neighboring cells. It may consider factors such as potential changes in coverage areas, inter-cell interference, and handover boundaries.[000119] The set of execution parameters may encompass a wide range of attributes beyond the basic execution date, time, and target node identifier. These parameters may include, but are not limited to, the type of configuration change (e.g., software update, hardware reconfiguration, parameter adjustment), the expected duration of the change, the criticality level of the change, specific resource requirements (e.g., processing power, memory), and any pre-conditions or postconditions for the change. Additionally, the execution parameters may specify dependencies on other configuration changes or network states. The criteria used for determining available time slots may be equally comprehensive, taking into account factors such as historical and predicted network traffic patterns, the stability of the network over time, the availability of technical support personnel, the current and projected load on the target node and its neighbors, the nature of the services provided by the affected network segment, and any regulatory or contractual constraints on network modifications. The system may also consider the ripple effects of a change across the network topology, assessing potential impacts on data flows, latency, and quality of service metrics when determining suitable time slots. Furthermore, the determination of available time slots may incorporate machine learning algorithms that analyze past successful and unsuccessful configuration changes to optimize future scheduling decisions.[000120] In the context of modern RAN architectures, which often involve complex multi-layer and multi-technology deployments, the verification module (214) may need to account for interactions between different network layers. For example, a configuration change in a macro cell may have implications for underlying small cells or distributed antenna systems. The verification module may be equipped with algorithms to model these inter-layer dependencies and identify potential conflicts or optimization opportunities.[000121] The verification module (214) may also be designed to handle the unique challenges posed by emerging technologies such as 5G New Radio (NR). In 5G networks, concepts like network slicing and dynamic spectrum sharing introduce new dimensions of complexity to the configuration management process. The verification module may need to ensure that proposed changes do not violate the service level agreements of existing network slices or disrupt the delicate balance of spectrum allocation between different radio access technologies.[000122] To perform its comparisons effectively, the verification module (214) may utilize advanced data analytics and machine learning techniques. These may allow the module to identify patterns and potential issues that might not be immediately apparent through simple rule-based comparisons. For instance, the module may learn from historical data to predict the potential performance impacts of certain types of configuration changes, even if they don't directly conflict with other scheduled changes.[000123] The verification module (214) may also incorporate a time-aware aspect in its analysis. It may not only check for conflicts at the exact scheduled time of a proposed change but also consider the potential impacts in the time periods immediately before and after the change. This temporal analysis may be particularly important in RAN environments where certain changes may require preparation phases or post-change stabilization periods.[000124] In addition to identifying potential conflicts, the verification module (214) may be capable of assessing the feasibility of proposed configuration changes. This assessment may involve checking whether the target RAN node has the necessary hardware and software capabilities to support the requested change. For example, if a change request involves activating a new frequency band, the module may verify that the target base station is equipped with the appropriate radio hardware and licensed for operation in that band.[000125] The verification module (214) employs a multi-step algorithm to compare the execution parameters of received configuration change requests with those of stored requests. First, it performs an exact match comparison of the target node identifier, execution date, and execution time. If no exact match is found, it then applies a proximity analysis, checking for any stored requests within a configurable time window (e.g., ±2 hours) of the proposed change. The module also considers the type of change requested, using a predefined compatibility matrix to identify potentially conflicting change types even if they don't overlap exactly in time. For example, a software update might be flagged as incompatible with a configuration change scheduled within 24 hours. Additionally, the verification module implements a graph-based analysis of the network topology to identify changes to neighboring nodes that could impact the target node, even if they're not directly conflicting. The comprehensive approach ensures that both direct conflicts and subtle interactions between changes are detected and addressed.[000126] In scenarios where potential conflicts or issues are identified, the verification module (214) may not simply reject the proposed change outright. Instead, it may be designed to provide detailed feedback and suggestions for resolution. This may include proposing alternative execution times, suggesting modifications to the change parameters, or identifying prerequisite changes that need to be made to accommodate the requested configuration.[000127] The verification module (214) may also support what-if analyses, allowing network administrators to simulate the potential impacts of proposed changes before committing to them. This capability may be particularly valuable for planning large-scale network upgrades or optimizations, as it allows operators to explore different scenarios and choose the most effective approach.[000128] To handle the high volume of configuration changes typical in large RAN deployments, the verification module (214) may be designed to operate with high efficiency and scalability. It may utilize parallel processing techniques toanalyze multiple change requests simultaneously and may implement caching mechanisms to speed up repeated verifications against common network states.[000129] The verification module (214) may also be designed with extensibility in mind, allowing for the incorporation of new verification rules and algorithms as RAN technologies evolve. This flexibility may ensure that the module remains effective in managing configuration changes across multiple generations of radio access technologies, from legacy 2G and 3G networks to future 6G and beyond.[000130] The system (102) may be meticulously designed to handle two possible scenarios based on the outcome of the comparison performed by the verification module (214), each requiring a distinct approach to ensure the optimal management of Radio Access Network (RAN) configurations. These scenarios reflect the complex nature of RAN environments, where changes to one node can have far-reaching implications across the network.[000131] In the first scenario, when the set of execution parameters of the received configuration change request does not match the at least one set of execution parameters of the retrieved previously stored at least one configuration change request, the system (102) may proceed with a carefully orchestrated process of storing and executing the received request. This scenario may indicate that the proposed change does not conflict with any existing scheduled changes and may be safely implemented without risking network stability or performance degradation.[000132] Upon determining that the new configuration change request does not conflict with existing plans, the one or more processors (202) may be configured to initiate a storage process. This process may involve creating a new entry in the database (210) with all the pertinent details of the received request, including its comprehensive set of execution parameters. The storage of this information may befar more than a simple data archiving task; it may represent a critical step in maintaining a holistic view of the RAN's evolving configuration landscape.[000133] The storage process may involve sophisticated data structuring to ensure that the new entry is optimally integrated into the existing database schema. This may include creating appropriate links and references to related network elements, such as neighboring cells or connected backhaul nodes, which could be indirectly affected by the proposed change. The system may also tag the stored request with metadata such as the request's origin, priority level, and any relevant network performance metrics at the time of submission.[000134] By meticulously storing each new configuration change request, the system (102) may build and maintain a comprehensive record that serves multiple crucial purposes. This record may become an invaluable resource for future reference, allowing network administrators to trace the evolution of RAN configurations over time. It may also play a vital role in ongoing conflict prevention, serving as a rich dataset against which future change requests can be verified.[000135] Following the careful storage of the received configuration change request, the system may transition to the execution phase, employing an execution module (216) to implement the stored configuration change request on the target RAN node. The execution module (216) may shoulder the weighty responsibility of translating the abstract configuration directives into concrete changes on the physical or virtualized network infrastructure.[000136] The execution process orchestrated by the execution module (216) may be a multi-faceted operation that goes far beyond simply pushing new parameters to a network element. It may begin with a pre-execution checklist, verifying that all prerequisites for the change are met, such as ensuring that the target RAN node is in a suitable state to receive configuration updates. This may31 involve checks on the node's current operational status, its software version compatibility, and its available capacity to process configuration changes.[000137] The actual implementation of the requested configuration changes may involve a carefully sequenced series of commands, each designed to modify specific aspects of the RAN node's configuration. These could range from adjustments to radio parameters like transmission power or antenna tilt, to more complex changes involving resource allocation algorithms or inter-cell coordination protocols. The execution module (216) may be equipped with a comprehensive library of vendor-specific command sets, allowing it to interface effectively with RAN equipment from various manufacturers.[000138] Throughout the execution process, the module may maintain a constant feedback loop, monitoring the target RAN node for any signs of instability or unexpected behavior. It may implement safeguards such as automatic rollback procedures that can quickly revert changes if certain predefined error conditions are detected. This robust approach may help minimize the risk of service disruptions or performance degradation during the configuration update process.[000139] Once the changes have been applied, the execution module (216) may initiate a series of post-execution verifications. These may include active tests to confirm that the new configuration is functioning as intended, as well as passive monitoring of key performance indicators (KPIs) to ensure that the change has not adversely affected network performance. The Key Performance Indicators (KPIs) in the context of network node configuration management are crucial metrics that provide insight into the health, performance, and efficiency of the network after a configuration change. The results of these verifications may be logged and associated with the stored configuration change request, providing a complete audit trail of the change process.[000140] In the contrasting second scenario, when the set of execution parameters of the received configuration change request matches the at least one set of execution parameters of the retrieved previously stored at least one configuration change request, the system (102) may recognize a potential conflict that requires resolution. This scenario may arise in various situations typical of complex RAN environments, such as multiple teams unknowingly scheduling changes to the same node, or interdependent changes being planned without full coordination.[000141] To address this potential conflict, the system (102) may employ a sophisticated scheduling module (218). This module may be tasked with the complex challenge of determining available time slots for executing the received configuration change request while maintaining network stability and optimizing overall performance. The scheduling module (218) may approach this task with a holistic view of the RAN, considering not just the target node but also the broader network context.[000142] The determination process undertaken by the scheduling module (218) may involve a multi-dimensional analysis of the existing schedule of configuration changes. This analysis may extend beyond the target RAN node to include related network elements whose operation might be indirectly affected by the proposed change. The module may employ advanced algorithms to identify periods where no changes are currently scheduled, not just for the target node but for a defined cluster of related nodes.[000143] In determining available time slots, the scheduling module (218) may consider an extensive array of factors. The duration required for the configuration change may be a primary consideration, with the module calculating not just the time needed for the change itself but also any necessary preparation and stabilization periods. The module may enforce mandatory waiting periods between consecutive changes, a crucial feature in RAN environments where rapidsuccessive changes can lead to network instability or make it difficult to isolate the effects of individual modifications.[000144] The scheduling module (218) may also take into account the typical usage patterns of the network node and its surrounding area. This may involve analyzing historical traffic data to identify periods of typically low network utilization, which might be more suitable for implementing configuration changes. In more advanced implementations, the module might even consider predictive models of network traffic, allowing it to anticipate and avoid periods of expected high demand.[000145] Furthermore, the scheduling module (218) may be designed to respect various constraints and preferences set by network operators. These could include defined maintenance windows, blackout periods during major events or peak business hours, or preferences for certain types of changes to be implemented during specific time slots. The module may also consider any priority levels assigned to different types of configuration changes, ensuring that critical updates are scheduled as promptly as possible within the given constraints.[000146] The scheduling module (218) utilizes a sophisticated algorithm to determine available time slots for executing configuration change requests. For example, the algorithm might employ a combination of graph theory and dynamic programming to optimize the scheduling process. In this approach, network nodes could be represented as vertices in a graph, with edges representing dependencies or potential conflicts between nodes. The algorithm could then use dynamic programming to efficiently explore all possible scheduling combinations, taking into account factors such as change duration, network traffic patterns, and internode dependencies. The scheduling module starts by creating a timeline of all scheduled changes for the target node and its immediate neighbors, including buffer periods before and after each change. The module then applies a sliding window technique to identify gaps in this timeline that meet the minimum duration requiredfor the proposed change. These candidate slots are then scored based on multiple factors: distance from conflicting changes, historical network traffic patterns (using machine learning models trained on past network data), and predefined maintenance windows. The algorithm also considers the nature of the proposed change, prioritizing slots that align with the change type. For example, the algorithm favors periods when network utilization is below a predefined threshold (e.g., less than 30% of maximum capacity) for high-impact changes. This threshold can be dynamically adjusted based on historical network performance data and the specific requirements of the network operator. Furthermore, the module implements a backoff mechanism for high-priority changes, progressively relaxing constraints if no suitable slot is found under strict criteria. This allows critical changes to be scheduled even in congested timelines, while still minimizing potential conflicts. The highest-scoring time slots are then proposed as options for the configuration change execution.[000147] In scenarios involving particularly complex or far-reaching changes, the scheduling module (218) may employ simulation capabilities to model the potential impacts of different scheduling options. This may allow it to identify the optimal time slot that minimizes disruption to network services while maximizing the likelihood of a smooth and successful configuration change.[000148] The outcome of this intricate scheduling process may not be a simple timestamp, but rather a comprehensive proposal that includes the suggested time slot, any necessary preparatory steps, and potential fallback options. This proposal may be presented to network administrators for review and approval, potentially triggering further rounds of verification and refinement before the change is finally scheduled and stored in the system.[000149] Once the scheduling module (218) has meticulously identified potential available time slots, a sophisticated recommendation module (220) may be brought into play, serving as a critical component in the intelligent managementof Radio Access Network (RAN) configuration changes. This recommendation module (220) may be intricately designed to propose optimal time slots for executing the received configuration change request, leveraging advanced algorithms and comprehensive network knowledge to ensure that changes are implemented with minimal disruption and maximum efficiency.[000150] The recommendation module (220) may be configured to embark on a nuanced proposal process, carefully evaluating and selecting the most suitable time slot or slots from the pool of available options determined by the scheduling module. This selection process may be far from arbitrary; instead, it may involve a multi-faceted analysis that takes into account a wide array of factors critical to maintaining the stability and performance of the RAN infrastructure.[000151] At the core of the recommendation module's functionality may lie a set of criteria, each designed to address specific aspects of RAN operation and maintenance. One of the primary considerations in this criteria set may be the avoidance of overlap with execution times of previously scheduled configuration change requests for the target RAN node. This focus on preventing temporal conflicts may be crucial in complex RAN environments, where multiple changes occurring simultaneously on a single node could lead to unpredictable behavior, service disruptions, or difficulties in isolating the effects of individual changes.[000152] The recommendation module (220) may employ advanced timeseries analysis techniques to identify periods of minimal conflict risk. It may consider not just the exact timing of other scheduled changes but also their expected duration and any associated preparation or cool-down periods. This comprehensive temporal view may allow the module to suggest time slots that provide the clearest possible window for implementing the new configuration change, minimizing the risk of interference from other maintenance activities.[000153] In addition to avoiding direct conflicts, the recommendation module (220) may place significant emphasis on maintaining a predefined minimum time gap from the nearest scheduled configuration change request. This buffer period may serve multiple critical purposes in the context of RAN management. The recommendation module (220) may allow sufficient time for the network to stabilize following a previous change, ensuring that any potential issues arising from one configuration modification are fully resolved before another is implemented. This temporal separation may also facilitate more accurate performance analysis, allowing network administrators to clearly attribute any observed changes in network behavior to specific configuration modifications.[000154] The determination of this optimal time interval between configuration changes may not be a one-size-fits-all approach. The recommendation module (220) may be capable of adjusting the required separation period based on factors such as the nature and scope of the configuration changes involved, the criticality of the affected RAN node, and historical data on stabilization times following similar changes in the past. This adaptive approach may ensure that the recommended time slots strike an optimal balance between efficient use of maintenance windows and the preservation of network stability.[000155] Furthermore, the recommendation module (220) may demonstrate a keen awareness of the dynamic nature of RAN traffic patterns, showing a clear preference for time slots that occur within predetermined low-traffic periods for the target RAN node. This traffic- aware scheduling may be crucial in minimizing the potential impact of configuration changes on user experience and overall network performance. To achieve this, the module may integrate with network analytics systems, accessing historical and real-time traffic data to identify periods of typically low utilization.[000156] The process of determining these low-traffic periods may involve sophisticated data analysis techniques. The recommendation module (220) may employ machine learning algorithms to detect patterns in network usage, considering factors such as time of day, day of the week, seasonal variations, and even local events that might influence network traffic. By correlating these patterns with the specific characteristics of the target RAN node - such as its location, coverage area, and typical user profiles - the module may be able to predict with high accuracy the periods when configuration changes are least likely to disrupt normal network operations.[000157] In more advanced implementations, the recommendation module (220) may go beyond simple traffic volume considerations to take into account the nature of the traffic during different periods. For instance, it may differentiate between times of low overall traffic and times when the traffic, though higher in volume, consists primarily of less delay-sensitive applications. This nuanced understanding of traffic patterns may allow for more flexible scheduling, potentially identifying suitable time slots that might be overlooked by simpler traffic-based heuristics.[000158] The recommendation module (220) may also be designed to consider the specific requirements and potential impacts of different types of configuration changes. For example, changes that affect radio frequency parameters might be best scheduled during periods of stable atmospheric conditions, while software updates might be preferentially scheduled during times of low computational load on the RAN node. This change-specific scheduling may require the module to maintain a comprehensive knowledge base of different configuration change types and their optimal implementation conditions.[000159] In scenarios where multiple suitable time slots are identified, the recommendation module (220) may be capable of providing a ranked list of options, each accompanied by a detailed rationale for its selection. This transparentapproach may empower network administrators to make informed decisions, understanding not just when a change can be implemented, but why a particular time slot is considered optimal.[000160] The system (102) may provide a rich array of additional functionalities designed to significantly enhance the management of configuration changes across the Radio Access Network (RAN). These features may work in concert to provide network administrators with powerful tools for visualizing, planning, and executing complex configuration changes in the ever-evolving landscape of modern cellular networks.[000161] One of the standout features of the system may be its ability to arrange and display configuration change requests in a calendar format on a user interface. This functionality, implemented by the one or more processors (202), may transform the abstract data stored in the database (210) into a clear, intuitive visual representation. The calendar view may be dynamically generated based on the set of execution parameters associated with each stored configuration change request. For instance, a planned update to the antenna tilt of a 5G New Radio (NR) base station might appear as an event on the specific date and time slot when it's scheduled to occur. This calendar format may provide network administrators with an at-a-glance overview of all planned configuration changes across the RAN infrastructure.[000162] The benefits of this calendar view in the context of RAN management can be substantial. Consider a scenario where a network operator is planning a major software upgrade for a cluster of LTE eNodeBs. The calendar view might show this as a series of events spread across several days, with each event representing the upgrade of a specific eNodeB. Alongside these, it might also display other scheduled changes, such as parameter optimizations for neighboring 5G NR gNodeBs. This comprehensive view may allow administrators to easily identify potential conflicts or opportunities for optimization. For example, theymight notice that the software upgrade for one eNodeB is scheduled close to a planned reconfiguration of its X2 interface with a neighboring cell, prompting them to adjust the timing to ensure smooth inter-cell coordination during the changes.[000163] The comparison process performed by the verification module (214) may involve a meticulous and detailed verification step, crucial for maintaining the integrity of the RAN configuration. In this context, "verification" may be defined as the process of thoroughly checking the compatibility and feasibility of a proposed configuration change against existing network states and planned modifications. The verification module (214) may perform an exact match comparison between the set of execution parameters of the received configuration change request and those of any previously stored requests.[000164] The detailed verification may be particularly important in the complex ecosystem of a modern RAN, where seemingly unrelated changes can have unforeseen interactions. For example, consider a scenario where a network administrator submits a request to modify the Physical Cell Identity (PCI) of a particular 5G NR cell. The verification module might flag this as a potential conflict if it discovers a previously scheduled change to adjust the neighbor relations of adjacent cells. While these changes might not occur at the exact same time, they are intrinsically linked, as changes to PCI can significantly impact cell reselection and handover processes. By identifying such intricate relationships, the verification module may help prevent cascading issues that could degrade network performance.[000165] To further optimize the execution of configuration changes, the system (102) may implement a sophisticated queue management mechanism. In the context of RAN operations, a "queue" may be defined as an ordered list of pending configuration changes for a specific network element, arranged based on priority and scheduled execution time. The one or more processors (202) may be tasked with maintaining separate queues for each RAN node, be it an LTE eNodeB, a 5GNR gNodeB, or even individual Remote Radio Units (RRUs) in a Centralized RAN (C-RAN) architecture.[000166] The queue management approach may prove invaluable in scenarios involving complex, multi-step configuration changes. For instance, consider the process of introducing a new carrier frequency on a multi-band base station. This might involve a series of configuration changes including activating new hardware components, updating scheduler algorithms, modifying power allocation schemes, and reconfiguring neighboring cells. The queue management system could ensure that these changes are executed in the correct order, with appropriate intervals between each step to allow for stabilization and verification.[000167] Moreover, the system (102) may enforce a predefined time interval between executions of configuration change requests on each RAN node. This enforced interval, which might be termed a "cooldown period," may serve as a critical safeguard in maintaining network stability. In the context of RAN operations, rapid successive changes to a node's configuration can lead to unpredictable behavior, making it challenging to isolate the effects of individual modifications. For example, if a series of changes are made in quick succession to the radio resource management parameters of a heavily loaded LTE eNodeB, it may be difficult to determine which specific change led to an observed improvement or degradation in key performance indicators (KPIs) such as cell throughput or handover success rate. By enforcing a cooldown period, perhaps on the order of hours for major changes or minutes for minor parameter adjustments, the system allows the network to stabilize and provides time for the effects of each change to be properly assessed.[000168] The cumulative effect of these features may offer significant benefits in managing the complex environment of modern RANs. The automation of conflict detection and resolution processes may substantially reduce the risk of network outages caused by incompatible or poorly timed configuration changes. Ina real-world scenario, this might prevent situations where, for example, changes to the Tracking Area Code (TAC) of one cell inadvertently affect the load balancing across a cluster of cells, leading to localized congestion or service disruptions.[000169] The intelligent scheduling and recommendation features may dramatically improve the efficiency of managing multiple configuration requests. For instance, when planning a large-scale rollout of a new feature across thousands of base stations, the system could automatically suggest an optimal sequence and timing for the changes, taking into account factors such as geographic clustering, traffic patterns, and interdependencies between nodes. This level of automation may save network administrators considerable time and effort, allowing them to focus on strategic planning rather than getting bogged down in the minutiae of change management.[000170] The calendar-based organization and display of change requests may significantly enhance visibility into planned network changes, facilitating better coordination among different teams involved in RAN operations. For example, the radio optimization team might easily spot potential conflicts with planned changes by the core network team, allowing them to proactively adjust their schedules or coordinate their efforts. This improved visibility may lead to more effective network management strategies, reducing the likelihood of unforeseen interactions between different aspects of the network configuration.[000171] By factoring in network traffic patterns when scheduling changes, the system (102) may play a crucial role in optimizing overall RAN performance. For instance, it might schedule resource-intensive configuration changes, such as major software upgrades, during the early hours of the morning when network traffic is typically at its lowest. This approach may minimize disruptions to network users and potentially improve overall network reliability by ensuring that critical changes are made when their impact on user experience is likely to be minimal.[000172] The combination of queue management and enforced time intervals between changes may contribute significantly to maintaining network stability. By preventing too many rapid changes to a single RAN node, the system (102) may reduce the risk of configuration-related issues and simplify the process of troubleshooting when problems do arise. For example, if a performance degradation is observed following a series of configuration changes, the clearly defined sequence and timing of changes may make it easier to identify the specific modification that led to the issue, facilitating faster resolution and recovery.[000173] The system (102) may provide a comprehensive solution for network configuration management, addressing key challenges in scheduling, conflict prevention, and change execution. By automating many aspects of the configuration change process, it may reduce the potential for human error, which is a common source of network issues.[000174] The modular design of the system (102), with separate components for requesting, verifying, executing, scheduling, and recommending changes, may allow for flexibility and potential future enhancements. Each module may be updated or expanded independently to accommodate new requirements or improved algorithms.[000175] FIG. 3 illustrates a flow diagram of a method (300) for network node configuration management, in accordance with an embodiment of the present disclosure. The network node may be a Radio Access Network (RAN). The method outlines a sophisticated process for handling configuration changes in a RAN environment, ensuring that modifications to network nodes are implemented efficiently and without conflicts.[000176] At step 302, the method begins with receiving configuration change request details. This request may be received by a requestor module (212) of the system (102). Each configuration change request may include a respective set ofexecution parameters, which may comprise various details related to the execution of the configuration change request. The set of execution parameters comprises comprehensive information necessary for scheduling and implementing configuration changes on network nodes. These parameters include, but are not limited to: execution date and time, which specifies the calendar date and time when the configuration change should be implemented; node identifier (s), which are unique identifiers for the target network node(s) where the change will be applied; change type, which classifies the configuration change (e.g., software update, parameter modification, hardware reconfiguration); priority level, indicating the urgency and importance (e.g., critical, high, medium, low); duration, estimating the time required to complete the configuration change; dependencies, listing any prerequisite configuration changes or conditions; rollback parameters, providing instructions for reverting the change if issues occur; resource requirements, specifying processing, memory, or other resources needed; validation criteria, defining metrics or tests to verify successful implementation; and network impact assessment, estimating the effect on network performance during implementation. [000177] A configuration change request might specify multiple types of nodes and parameters. For a radio unit, it might specify: "Target Node: gNB_123, Parameter: Transmission Power, New Value: 46 dBm, Execution Date: 2023-09- 15, Execution Time: 02:00 UTC". For network equipment, it might specify: "Target Node: Router_Edge_01, Parameter: Quality of Service Policy, New Value: Priority Class 1, Execution Date: 2023-09-16, Execution Time: 03:30 UTC" or "Target Node: Switch_Core_05, Parameter: VLAN Configuration, New Value: Add VLAN 172, Execution Date Range: 2023-09-17 to 2023-09-19, Execution Time Range: 01:00-04:00 UTC". The execution parameters can include flexibility in scheduling through date ranges (e.g., "2023-09-17 to 2023-09-19") and time windows (e.g., "01:00-04:00 UTC"), allowing the system to select the optimal execution time within these ranges when the exact requested time is not available due to conflicts with existing configuration changes.[000178] Moving to step 304, the method involves retrieving existing planned or running change request details from a database (210). This step is crucial for maintaining a comprehensive view of all ongoing and upcoming modifications to the network infrastructure. The retrieval process may involve querying the database (210) based on the identifier of the target network nodes to fetch all relevant configuration change requests that have been previously stored. In the case of a first-ever configuration change request for a network node where no previous configuration requests exist in the database, the system recognizes that the retrieval operation returns zero results. In this scenario, the verification module automatically determines that no conflicts exist, and the system proceeds to store and execute the configuration change request according to its specified parameters without requiring any conflict resolution or rescheduling.[000179] At step 306, the system performs a check / verification of the change request with already running or planned change requests. This verification process is designed to prevent conflicts that could potentially degrade network performance or disrupt services. The verification module (214) compares the set of execution parameters of the received configuration change request with execution parameters of each previously stored configuration change request related to the target network nodes to identify potential conflicts. This comparison is not limited to a single historical change request but includes checking against all queued and scheduled changes across the network, evaluating dependencies, compatibility, and eligibility criteria.[000180] The verification may involve examining each parameter in the set of execution parameters of the received request against the corresponding parameters in the sets of execution parameters of the previously stored requests. For instance, if the new request involves modifying the PCI of a cell, the verification process would check for other planned PCI changes and evaluate how this change might impact scheduled updates to neighbor relations or handover parameters in surrounding cells.[000181] Following the verification at step 306, the flow branches based on whether a conflict is detected. If the verification results in "No" (meaning a conflict is detected), the flow proceeds to step 308 where the change request is not accepted. This occurs when the execution parameters of the received request would conflict with existing scheduled changes. Further, the step 308 addresses the scenario where the set of execution parameters of the received configuration change request matches the at least one set of execution parameters of the retrieved previously stored at least one configuration change request. In this case, the system (102) may initiate a process to resolve the potential conflict. To address this potential conflict, the system (102) may employ a scheduling module (218). The scheduling module (218) may be configured to determine available time slots for executing the received configuration change request. This determination process may involve analyzing the existing schedule of configuration changes for the target RAN node and identifying periods where no changes are currently scheduled. The determination may further involve analyzing not only single change request in history but also all queue and other dependencies and compatibility. The system may queue the request and periodically re-evaluate as the schedule evolves. If the available time slots are significantly distant from the requested execution time, exceeding a configurable threshold, the system flags this to the user with an explanation of the scheduling constraints and allows the user to choose between accepting the distant time slot or modifying other parameters of the request to find a closer time slot.[000182] Following this, a recommendation module (220) may come into play. The recommendation module (220) may be configured to propose at least one time slot from the determined available time slots for executing the received configuration change request. This proposal process may involve selecting the most suitable time slot or slots based on certain criteria. For instance, the recommendation module (220) may prioritize time slots that have no overlap withexecution times of previously scheduled configuration change requests for the target RAN node.[000183] The process of identifying available time slots is performed through a multi-step algorithmic approach. First, the system creates a timeline of all existing scheduled configuration changes for the target network node and interconnected nodes that could be affected. This timeline includes buffer periods before and after each scheduled change to account for preparation and stabilization. The system then applies a sliding window technique to identify gaps in this timeline that meet or exceed the minimum duration required for the proposed configuration change. These candidate time slots are evaluated based on multiple factors including distance from the originally requested execution time, network traffic patterns during the candidate time slot, required duration for the specific type of configuration change, priority level of the request, and historical performance data for similar changes. This process results in a list of zero, one, or multiple potential time slots. In scenarios where no suitable time slots are identified within a configurable threshold period, such as 7 days from the requested execution time, the system implements a fallback strategy based on the priority of the change request. For high-priority requests, the system may propose a time slot that requires rescheduling of lower-priority existing requests; for medium-priority requests, the system may extend its search window to consider time slots further in the future; for low-priority requests, the system may queue the request and periodically reevaluate as the schedule evolves. If the available time slots are significantly distant from the requested execution time, exceeding a configurable threshold, the system flags this to the user with an explanation of the scheduling constraints and allows the user to choose between accepting the distant time slot or modifying other parameters of the request to find a closer time slot. In another scenario where no suitable time slots are identified, a default time slot or a predefined time slot may be used.[000184] If the verification at step 306 results in "Yes" (meaning no conflict is detected), the flow proceeds to step 310 where the new change request is ingested into the database. This storage process involves creating a new entry in the database with all the details of the received request, including its set of execution parameters.[000185] Finally, at step 312, the system applies the change request for execution. The execution module (216) implements the requested configuration changes on the specified target network nodes at the time specified in the set of execution parameters. This execution process involves communicating with the target network nodes, applying the necessary configuration changes, and potentially verifying the successful implementation of these changes.[000186] The present disclosure provides an approach to network node configuration management that enables network operators to maintain and optimize their infrastructure with a high degree of control and reliability. By carefully validating each proposed change against the complex tapestry of existing network configurations and planned modifications, the system helps ensure that the evolution of the network proceeds smoothly, minimizing disruptions and maximizing the benefits of each configuration update.[000187] FIG. 4 illustrates another exemplary system architecture (400) for the network node configuration management, in accordance with an embodiment of the present disclosure. The network node may be a Radio Access Network (RAN). This architecture provides a comprehensive framework for managing configuration changes across a complex RAN environment, ensuring efficient and conflict-free updates to network nodes.[000188] The system architecture (400) may comprise several key components, each playing a crucial role in the configuration management process. These components include a plurality of requestor modules, denoted as requestormodule-1 (212-1) through requestor module-N (212-N), a plurality of services, labeled as service 1 (402-1) through service N (402-N), and a database (210).[000189] The requestor modules (212-1 to 212-N) may serve as the primary interfaces for initiating configuration change requests. These modules may receive inputs from various sources such as network administrators, automated optimization systems, or self-organizing network (SON) functionalities. For example, requestor module- 1 (212-1) might be dedicated to handling urgent security-related configuration changes, while requestor module-2 (212-2) could be responsible for processing routine performance optimization requests. Each requestor module may be designed to format and validate the initial configuration change requests before forwarding them to the appropriate services. As shown in the figure, the requestor modules communicate with the services by sending "Get change request details" messages, facilitating the initial phase of the configuration management process.[000190] The services (402-1 to 402-N) represent different functional units within the system, each specializing in specific aspects of the configuration management process. For instance, service 1 (402-1) might be a "Conflict Detection Service" responsible for comparing new requests against existing schedules, while service 2 (402-2) could be a "Scheduling Optimization Service" that determines the best execution times for approved changes. These services work in concert to ensure that each configuration change request is thoroughly processed and validated.[000191] The system further comprises the database (210), which serves as a central repository for all configuration-related information. This database may store not only the details of planned and executed configuration changes but also historical data, network topology information, and performance metrics. The database (210) plays a crucial role in maintaining a coherent view of the entire RAN configuration state. As illustrated in the figure, the services interact with the database through two key operations: "Ingest new change request in DB" to storeapproved configuration changes, and "Get existing planned / running change request" to retrieve information about current and scheduled configurations.[000192] The system's workflow may begin when a planned event calendar RAN internet protocol (IP) service, which could be one of the services (402-1 to 402-N), receives configuration change request details from the plurality of requestor modules (212-1 to 212-N). This service may act as an initial aggregator and organizer of incoming requests, potentially performing preliminary checks and categorizations.[000193] Upon receipt of a new configuration change request, the system initiates a verification process. This process, which may be handled by a dedicated verification module (214) (not shown in the figure but described in the claims), involves checking the new configuration change request submission details against the already planned or running configuration change request details obtained from the database (210). This verification is facilitated by the "Get existing planned / running change request" operation shown in the figure, where the services query the database for current configuration states.[000194] For example, if a request is received to modify the transmission power of a specific 5G NR gNodeB, the verification process would query the database (210) to retrieve any existing planned or running changes for that node or neighboring nodes that might be affected by the power change. The verification module would then compare the execution parameters of the new request (such as the target node identifier, execution date, and time) with those of the existing requests to identify any potential conflicts. Following verification, if no conflicts are detected, the service would use the "Ingest new change request in DB " operation to store the validated request in the database for subsequent execution.[000195] If the new change request details do not get verified or clash with existing configuration change request details, then the new configuration changerequest may not be accepted. For instance, if the system detects that the proposed power change coincides with a scheduled software update for the same gNodeB, it may reject the new request to avoid potential instability or unpredictable behavior.[000196] Conversely, if the new change request details are verified and do not clash with existing change request details, then the new configuration change request may be accepted. In this case, the system may ingest the new configuration change request into the database (210), creating a new entry with all relevant details including the set of execution parameters.[000197] Following the successful ingestion of the new request, the system may proceed to apply the new configuration change request for execution. This step may involve dispatching the approved change to an execution module (216) (not shown in the figure but described in the claims), which would be responsible for implementing the change on the target RAN node at the specified time.[000198] The architecture of this system allows for efficient handling of multiple configuration change requests simultaneously, while maintaining the integrity and stability of the RAN. For example, while processing a request to adjust the antenna tilt of one sector, the system can concurrently handle requests for frequency reallocation in another sector and parameter optimization in a third, all while ensuring that these changes do not conflict with each other or with any preexisting plans.[000199] In essence, the system architecture enables network operators to avoid clashes between created configuration change requests and prevent network outages that could result from running multiple conflicting configuration changes simultaneously. By providing a structured, automated approach to RAN configuration management, the system enhances network reliability, optimizes performance, and significantly reduces the manual effort required to maintain complex RAN infrastructures.[000200] FIG. 5 illustrates another exemplary flow diagram of the method (500) for the network node configuration management, in accordance with embodiments of the present disclosure.[000201] At step 502, the method (500) includes receiving, by a requestor module (212), at least one configuration change request for one or more target network node from a plurality of network nodes. In the context of RAN management, a "configuration change request" refers to a formal proposal to modify specific parameters or settings of a network element, such as a base station or a radio network controller. The request includes a set of execution parameters, which are crucial details necessary for implementing the change. These parameters typically comprise an execution date, an execution time, and an identifier of the one or more target network node, a type of configuration change to be performed, a priority level of the configuration change request, and one or more additional operational parameters specific to the requested configuration change.[000202] At step 504, the method (500) includes retrieving, from a database (210), at least one previously stored configuration change request related to the one or more target network node. This database (210) acts as a central repository for all planned and historical configuration changes. For instance, when processing the antenna tilt change request for eNodeB_123, the system might retrieve information about a scheduled software update for the same node, planned for 2023-09-14 at 23:00 UTC. In the case of a first-ever configuration change request for a network node where no previous configuration requests exist in the database, the system recognizes that the retrieval operation returns zero results. In this scenario, the verification module automatically determines that no conflicts exist, and the system proceeds to store and execute the configuration change request according to its specified parameters without requiring any conflict resolution or rescheduling.[000203] At step 506, the method (500) involves comparing, by a verification module (214), the set of execution parameters of the received configuration changerequest with at least one set of execution parameters of the at least one previously stored configuration change request. This comparison is crucial for identifying potential conflicts or interdependencies between changes. The verification process examines not just exact matches in execution times, but also considers overlaps and potential interactions between different types of changes. For example, if the new antenna tilt change request is scheduled close to the retrieved software update, the verification module might flag this as a potential conflict, even if the exact execution times don't overlap, due to the need for a stabilization period after software updates.[000204] In another embodiment when the set of execution parameters of the received configuration change request does not match or conflict with the retrieved requests, the method includes storing the received configuration change request in the database (210). The set of execution parameters comprises comprehensive information necessary for scheduling and implementing configuration changes on network nodes. These parameters include, but are not limited to: execution date and time, which specifies the calendar date and time when the configuration change should be implemented; node identifier(s), which are unique identifiers for the target network node(s) where the change will be applied; change type, which classifies the configuration change (e.g., software update, parameter modification, hardware reconfiguration); priority level, indicating the urgency and importance (e.g., critical, high, medium, low); duration, estimating the time required to complete the configuration change; dependencies, listing any prerequisite configuration changes or conditions; rollback parameters, providing instructions for reverting the change if issues occur; resource requirements, specifying processing, memory, or other resources needed; validation criteria, defining metrics or tests to verify successful implementation; and network impact assessment, estimating the effect on network performance during implementation. These parameters enable the system to comprehensively understand, schedule, and manage configuration changes while detecting and resolving potential conflicts. This step ensures that all approved changes are properly recorded for future reference and execution.Following the storage of a non-conflicting request, the method includes executing, by an execution module (216), the stored configuration change request on the target network node. Execution in this context means actually implementing the requested changes on the specified network element. For the antenna tilt change example, this would involve sending commands to the eNodeB to physically adjust its antenna orientation. The next step 508 involves scheduling, by a scheduling module (218), a modified execution time for the received configuration change request based on network availability analysis.[000205] At step 508, when the set of execution parameters of the received configuration change request matches or conflicts with existing requests, the method includes determining, by a scheduling module (218), available time slots for executing the received configuration change request. This step is crucial for resolving potential conflicts by identifying alternative execution times that don't interfere with existing plans. The process of identifying available time slots is performed through a multi-step algorithmic approach. First, the system creates a timeline of all existing scheduled configuration changes for the target network node and interconnected nodes that could be affected. This timeline includes buffer periods before and after each scheduled change to account for preparation and stabilization. The system then applies a sliding window technique to identify gaps in this timeline that meet or exceed the minimum duration required for the proposed configuration change. These candidate time slots are evaluated based on multiple factors including distance from the originally requested execution time, network traffic patterns during the candidate time slot, required duration for the specific type of configuration change, priority level of the request, and historical performance data for similar changes. This process results in a list of zero, one, or multiple potential time slots. In scenarios where no suitable time slots are identified within a configurable threshold period, such as 7 days from the requested execution time, the system implements a fallback strategy based on the priority of the change request. For high-priority requests, the system may propose a time slot that requires rescheduling of lower-priority existing requests; for medium-priority requests, thesystem may extend its search window to consider time slots further in the future; for low-priority requests, the system may queue the request and periodically reevaluate as the schedule evolves. If the available time slots are significantly distant from the requested execution time, exceeding a configurable threshold, the system flags this to the user with an explanation of the scheduling constraints and allows the user to choose between accepting the distant time slot or modifying other parameters of the request to find a closer time slot.[000206] The method further includes proposing, by a recommendation module (220), at least one time slot from the determined available time slots for executing the received configuration change request. This proposal process involves a sophisticated analysis to select the most suitable time slot. The selection criteria include ensuring no overlap with execution times of previously scheduled changes, maintaining a predefined minimum time gap from the nearest scheduled change, and occurring within a predetermined low-traffic period for the target network node. For instance, if the original antenna tilt change conflicted with the software update, the system might propose a new time slot on 2023-09-16 at 03:00 UTC, ensuring a full day has passed since the software update and selecting a typically low-traffic hour.[000207] The method (500) also includes arranging and displaying, on a user interface, the configuration change requests stored in the database (210) in a calendar format based on the set of execution parameters. This visual representation helps network administrators quickly understand the schedule of planned changes across the network. For example, the calendar might show the software update and antenna tilt change as separate events, color-coded by type of change, allowing for easy identification of busy periods or potential conflicts.[000208] Furthermore, the method involves maintaining a queue of configuration change requests for each network node. This queue management ensures that changes are applied in an orderly manner, especially when multiplechanges are planned for a single node. The execution module (216) executes these queued configuration change requests sequentially for each network node, maintaining the integrity of the change process.[000209] The method also enforces a predefined time interval between executions of configuration change requests on each network node. This "cooldown period" serves as a safeguard, preventing rapid successive changes that could potentially destabilize the network node or make it difficult to isolate the effects of individual changes. For example, after the antenna tilt change is executed, the system might enforce a 6-hour waiting period before any new changes can be applied to that eNodeB.[000210] Lastly, the method includes monitoring configuration change requests created and executed for the plurality of network nodes to detect potential conflicts between the configuration change requests. This ongoing monitoring process helps identify any unforeseen interactions or conflicts that might arise due to the cumulative effect of multiple changes across the network.[000211] In yet another exemplary embodiment, a computer program product comprising a non-transitory computer-readable medium comprising instructions that, when executed by one or more processors, cause the one or more processors to perform a method for network node configuration management is described. The method comprises receiving, by a requestor module, a configuration change request for a target network node from a plurality of network nodes. The configuration change request includes a set of execution parameters. The method further comprises retrieving, from a database, at least one previously stored configuration change request related to the target network node. The method also includes comparing, by a verification module, the set of execution parameters of the received configuration change request with at least one set of execution parameters of the least one previously stored configuration change request. When the set of execution parameters of the received configuration change request matches the at least oneset of execution parameters of the least one previously stored configuration change request, the method comprises determining, by a scheduling module, available time slots for executing the received configuration change request and proposing, by a recommendation module, at least one time slot from the determined available time slots for executing the received configuration change request.[000212] In yet another exemplary embodiment, a user equipment (UE) communicatively coupled with a system is disclosed. The coupling comprises steps of receiving, by the system, a configuration change request , sending, by the system, an acknowledgment of the connection request to the UE, and transmitting a plurality of signals in response to the connection request. The system is configured for network node configuration management. The system comprises a memory and one or more processors coupled to the memory. The one or more processors are configured to execute a set of instructions stored in the memory. The instructions cause the one or more processors to receive, by a requestor module, a configuration change request for a target network node from a plurality of network nodes. The configuration change request includes a set of execution parameters. The one or more processors retrieve, from a database, at least one previously stored configuration change request related to the target network node. The one or more processors compare, by a verification module, the set of execution parameters of the received configuration change request with at least one set of execution parameters of the at least one previously stored configuration change request. When the set of execution parameters of the received configuration change request matches the at least one set of execution parameters of the at least one previously stored configuration change request, the one or more processors determine, by a scheduling module, available time slots for executing the received configuration change request and propose, by a recommendation module, at least one time slot from the determined available time slots for executing the received configuration change request.[000213] The present disclosure provides technical advancement related to RAN infrastructure management. This advancement addresses the limitations of existing solutions by introducing an intelligent and automated system for handling configuration change requests in complex network environments. The disclosure involves sophisticated modules for request handling, verification, scheduling, and execution, which offer significant improvements in efficiency and reliability of network configuration management.[000214] By implementing a comprehensive conflict detection and resolution mechanism, the disclosed invention enhances the stability and performance of network operations. This results in reduced downtime, improved network optimization, and more effective utilization of network resources. The system's ability to propose alternative time slots for conflicting requests and its consideration of network traffic patterns in scheduling changes represent a significant leap forward in network management technology.[000215] Furthermore, the calendar-based visualization and queue management features provide network administrators with unprecedented clarity and control over the configuration change process. This not only streamlines operations but also reduces the risk of human error in managing complex network infrastructures. The enforced intervals between changes and ongoing monitoring for conflicts add layers of protection against cascading issues that can arise from poorly coordinated configuration updates.[000216] Ultimately, this method enables network operators to maintain and optimize their RAN infrastructure with greater precision and reliability, adapting to the ever-increasing demands of modern wireless communication networks.[000217] FIG. 6 illustrates an example computer system (600) in which or with which the embodiments of the present disclosure may be implemented.[000218] As shown in FIG. 6, the computer system (600) may include an external storage device (610), a bus (620), a main memory (630), a read-only memory (640), a mass storage device (650), a communication port(s) (660), and a processor (670). A person skilled in the art will appreciate that the computer system (600) may include more than one processor and communication ports. The processor (670) may include various modules associated with embodiments of the present disclosure. The communication port(s) (660) may be any of an RS-232 port for use with a modem-based dialup connection, a 10 / 100 Ethernet port, a Gigabit or 10 Gigabit port using copper or fibre, a serial port, a parallel port, or other existing or future ports. The communication ports(s) (660) may be chosen depending on a network, such as a Local Area Network (LAN), Wide Area Network (WAN), or any network to which the computer system (600) connects.[000219] In an embodiment, the main memory (630) may be Random Access Memory (RAM), or any other dynamic storage device commonly known in the art. The read-only memory (640) may be any static storage device(s) e.g., but not limited to, a Programmable Read Only Memory (PROM) chip for storing static information e.g., start-up or basic input / output system (BIOS) instructions for the processor (670). The mass storage device (650) may be any current or future mass storage solution, which can be used to store information and / or instructions. Exemplary mass storage solutions include, but are not limited to, Parallel Advanced Technology Attachment (PATA) or Serial Advanced Technology Attachment (SATA) hard disk drives or solid-state drives (internal or external, e.g., having Universal Serial Bus (USB) and / or Firewire interfaces).[000220] In an embodiment, the bus (620) may communicatively couple the processor(s) (670) with the other memory, storage, and communication blocks. The bus (620) may be, e.g. a Peripheral Component Interconnect PCI) / PCI Extended (PCLX) bus, Small Computer System Interface (SCSI), Universal Serial Bus (USB), or the like, for connecting expansion cards, drives, and other subsystems aswell as other buses, such a front side bus (FSB), which connects the processor (670) to the computer system (600).[000221] In another embodiment, operator and administrative interfaces, e.g., a display, keyboard, and cursor control device may also be coupled to the bus (620) to support direct operator interaction with the computer system (600). Other operator and administrative interfaces can be provided through network connections connected through the communication port(s) (660). Components described above are meant only to exemplify various possibilities. In no way should the aforementioned exemplary computer system (600) limit the scope of the present disclosure.[000222] The method and system of the present disclosure may be implemented in a number of ways. For example, the methods and systems of the present disclosure may be implemented by software, hardware, firmware, or any combination of software, hardware, and firmware. The above-described order for the steps of the method is for illustration only, and the steps of the method of the present disclosure are not limited to the order specifically described above unless specifically stated otherwise. Further, in some embodiments, the present disclosure may also be embodied as programs recorded in a recording medium, the programs including machine-readable instructions for implementing the methods according to the present disclosure. Thus, the present disclosure also covers a recording medium storing a program for executing the method according to the present disclosure.[000223] While considerable emphasis has been placed herein on the preferred embodiments, it will be appreciated that many embodiments can be made and that many changes can be made in the preferred embodiments without departing from the principles of the disclosure. These and other changes in the preferred embodiments of the disclosure will be apparent to those skilled in the art from the disclosure herein, whereby it is to be distinctly understood that the foregoingdescriptive matter to be implemented merely as illustrative of the disclosure and not as limitation.ADVANTAGES OF THE PRESENT DISCLOSURE[000224] The present disclosure avoids a clash between multiple Radio Access Network (RAN) node configuration change requests, ensuring smooth and conflict-free network operations.[000225] The present disclosure efficiently performs RAN node configuration management by automating the process of request handling, verification, and scheduling.[000226] The present disclosure avoids a network outage to run multiple configuration change requests at the same time by implementing a sophisticated conflict detection and resolution mechanism.[000227] The present disclosure optimizes the performance of the RAN by intelligently scheduling configuration changes during low-traffic periods and maintaining appropriate intervals between changes.[000228] The present disclosure enhances network stability by enforcing predefined time intervals between configuration changes on each network node, preventing rapid successive modifications that could lead to unpredictable behavior.[000229] The present disclosure improves visibility and control over network changes through a calendar-based visualization of scheduled configuration modifications, enabling better planning and coordination among network administrators.[000230] The present disclosure reduces the risk of human error in network management by automating the conflict detection process and providing intelligent recommendations for resolving scheduling conflicts. [000231] The present disclosure increases the efficiency of network maintenance operations by maintaining an organized queue of configuration change requests for each network node, ensuring orderly implementation of changes.[000232] The present disclosure enhances the adaptability of the network by facilitating timely and controlled configuration changes in response to evolving network demands and performance requirements.[000233] The present disclosure improves the overall reliability of the RAN by minimizing the potential for service disruptions caused by conflicting or poorly timed configuration changes.

Claims

We claim:

1. A system (102) for network node configuration management, comprising: a memory (204); one or more processors (202) coupled to the memory (204); a requestor module (212) implemented by the one or more processors (202) is configured to receive at least one configuration change request for one or more target network nodes from a plurality of network nodes, wherein each configuration change request includes a set of execution parameters; a database (210) is configured to store at least one configuration change request related to the one or more target network nodes; a verification module (214) implemented by the one or more processors (202) is configured to: retrieve, from the database (210), at least one previously stored configuration change request related to the one or more target network nodes, and compare the set of execution parameters of the received at least one configuration change request with at least one set of execution parameters of the at least one previously stored configuration change request; and a scheduling module (218) implemented by the one or more processors (202) and configured to schedule a modified execution time for the received at least one configuration change request based on network availability analysis when the set of execution parameters of the received at least one configuration change request matches with the at least one set of execution parameters of the at least one previously stored configuration change request.

2. The system (102) as claimed in claim 1, wherein the scheduling module (218) is further configured to schedule the modified execution time by: determining available time slots for executing the received at least one configuration change request; and wherein the system further comprises: a recommendation module (220) implemented by the one or more processors (202) and configured to propose at least one time slot from the determined available time slots for executing the received at least one configuration change request.

3. The system (102) as claimed in claim 1, wherein the set of execution parameters comprises an execution date and a time indicating when a configuration change is to be implemented on the one or more target network nodes, and an identifier of the one or more target network nodes, a type of configuration change to be performed, a priority level of the at least one configuration change request, and one or more additional operational parameters specific to the requested configuration change.

4. The system (102) as claimed in claim 1, wherein when the set of execution parameters of the received at least one configuration change request does not match with the at least one set of execution parameters of the at least one previously stored configuration change request: store the received at least one configuration change request in the database (210); and execute, by an execution module (216), the stored at least one configuration change request on the one or more target network nodes at the time specified in the set of execution parameters; and when the set of execution parameters of the received at least one configuration change request matches with the at least one set of execution parameters of the at least one previously stored configuration change request and a modified execution time has been scheduled: store the received at least one configuration change request in the database (210) with the modified execution time; and execute, by the execution module (216), the stored at least one configuration change request on the one or more target network nodes at the modified execution time.

5. The system (102) as claimed in claim 3, wherein a user interface is configured to displaythe at least one configuration change request stored in the database (210) in a calendar format based on the set of execution parameters.

6. The system (102) as claimed in claim 1, wherein for proposing the at least one time slot from the determined available time slots, a recommendation module (220) is configured to: identify available time slots for executing the received at least one configuration change request; and select a time slot from the identified available time slots that satisfies following criteria: no overlap with execution time of the at least one previously stored configuration change request for the one or more target network nodes; a predefined minimum time gap from the at least one previously stored configuration change request for the one or more target network nodes; and selection of time slots that fall within periods when network traffic levels of the one or more target network nodes are measured to be below a predefined threshold value.

7. A method (500) for network node configuration management, the method (500) comprising: receiving (502), by a requestor module (212), at least one configuration change request for one or more target network nodes from a plurality of network nodes, wherein each configuration change request includes a respective set of execution parameters; retrieving (504), from a database (210), at least one previously stored configuration change request related to the one or more target network nodes;comparing (506), by a verification module (214), the set of execution parameters of the received at least one configuration change request with at least one set of execution parameters of the at least one previously stored configuration change request; and when the set of execution parameters of the received at least one configuration change request matches with the at least one set of execution parameters of the at least one previously stored configuration change request: scheduling (508), by a scheduling module (218), a modified execution time for the received configuration change request based on network availability analysis.

8. The method as claimed in claim 7, wherein scheduling the modified execution time comprises: determining, by the scheduling module (218), available time slots for executing the received configuration change request; and proposing, by a recommendation module (220), at least one time slot from the determined available time slots for executing the received configuration change request.

9. The method (500) as claimed in claim 7, wherein the set of execution parameters comprises an execution date and a time indicating when a configuration change is to be implemented on the one or more target network nodes, an identifier of the one or more target network nodes, a type of configuration change to be performed, a priority level of the configuration change request, and one or more additional operational parameters specific to the requested configuration change.

10. The method (500) as claimed in claim 7, further comprising when the set of execution parameters of the received at least one configuration change request does not match with the at least one set of execution parameters of the at least one previously stored configuration change request: storing thereceived at least one configuration change request in the database (210); and executing, by an execution module (216), the stored at least one configuration change request on the one or more target network nodes at the time specified in the set of execution parameters; and when the set of execution parameters of the received at least one configuration change request matches with the at least one set of execution parameters of the at least one previously stored configuration change request and a modified execution time has been scheduled: storing the received at least one configuration change request in the database (210) with the modified execution time; and executing, by the execution module (216), the stored at least one configuration change request on the one or more target network nodes at the modified execution time.

11. The method (500) as claimed in claim 10 , further comprising arranging and displaying, on a user interface, the at least one configuration change request stored in the database (210) in a calendar format based on the set of execution parameters.

12. The method (500) as claimed in claim 7, further comprising proposing, by a recommendation module (220), the at least one time slot from the determined available time slots, the proposing comprises: identifying available time slots for executing the received configuration change request; and selecting a time slot from the identified available time slots that satisfies following criteria: no overlap with execution time of the at least one previously stored at least one configuration change request for the one or more target network nodes; a predefined minimum time gap from the at least one previously stored at least one configuration change request for the one or more target network nodes; and13 selection of time slots that fall within periods when network traffic levels of the one or more target network nodes are measured to be below a predefined threshold value.

13. A user equipment (UE) (108) communicatively coupled with a system (102), the coupling comprises steps of: receiving, by the system (102), a configuration management connection request from the UE (108); sending, by the system (102), an acknowledgment of the connection request to the UE (108); and transmitting a plurality of signals in response to the configuration management connection request, wherein the system (102) is configured for network node configuration management as claimed in claim 1.

14. A computer program product comprising a non- transitory computer- readable medium comprising instructions that, when executed by one or more processors (202), cause the one or more processors (202) to perform method (500) for network node configuration management, the method (500) comprising: receiving (502), by a requestor module (212), at least one configuration change request for one or more target network nodes from a plurality of network nodes, wherein each configuration change request includes a respective a set of execution parameters; retrieving (504), from a database (210), at least one previously stored at least one configuration change request related to the one or more target network nodes; comparing (506), by a verification module (214), the set of execution parameters of the received at least one configuration change request with at least one set of execution parameters of the at least one previously stored configuration change request; andwhen the set of execution parameters of the received at least one configuration change request matches with the at least one set of execution parameters of the at least one previously stored configuration change request: scheduling (508), by a scheduling module (218), a modified execution time for the received configuration change request based on network availability analysis.

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