EP-4736490-A1 - SYSTEM AND METHOD FOR MANAGING DEPLOYMENT OF NETWORK ELEMENTS IN A WIRELESS NETWORK

EP4736490A1EP 4736490 A1EP4736490 A1EP 4736490A1EP-4736490-A1

Abstract

The present disclosure provides a system (102) and a method (700) for managing deployment of network elements in a wireless network. The system (102) includes one or more modules such as a work order module (112), a health check module (114), a configuration module (116), a firmware upgrade module (118), a tuning and optimization module (120), a post-check module (122), and a restore module (124) for automated deployment of new nodes or new cells in the wireless network. The system (102) automates a process of creating and operationalizing a new node or a new cell, eliminating the need for manual input of a large number of configuration parameters. The system (102) and the method provide a centralized platform for managing and monitoring nodes and cells in the wireless network.

Inventors

BHATNAGAR, AAYUSH
BHATNAGAR, PRADEEP KUMAR
SHANBHAG, UDAY
KOUL, Rishi
PATEL, VIVEK
POLSONI, Chaitanya Reddy

Assignees

Jio Platforms Limited

Dates

Publication Date: 20260506
Application Date: 20240619

Claims (12)

1. A method (700) for managing deployment of network elements in a wireless network, the method comprising: receiving (702), by a processing engine (110), at least one input from a user corresponding to a new network element; dynamically computing (704), by the processing engine (110), at least one configuration parameter corresponding to the new network element based on the at least one input and a preloaded data in the wireless network using a machine learning technique; creating (706), by the processing engine (110), an Optimum Deployment Data (ODD) for the new network element based on each of the at least one configuration parameter; and transmitting (708), by the processing engine (110), the ODD to an Element Management System (EMS) for deploying the new network element in the wireless network based on each of the at least one configuration parameter.
2. The method (700) as claimed in claim 1, wherein deploying the new network element in the wireless network comprises: executing, via the EMS, the ODD on a repository to create the new network element based on an associated set of attributes, wherein the associated set of attributes comprises at least one of a network connectivity, a software version, a firmware version, a hardware configuration, and an availability of resources; and integrating, via the EMS, the new network element within the wireless network by tuning and optimizing each of the at least one configuration parameter in response to executing.
3. The method (700) as claimed in claim 1, further comprising monitoring in real-time, by the processing engine (110), the new network element for improved network operation over a period of time by validating a status and a health of the wireless network on which the new network element is deployed.
4. The method (700) as claimed in claim 3, further comprising determining, by the processing engine (110), configurations and functioning of the new network element based on the real-time monitoring of the new network element.
5. The method (700) as claimed in claim 1, wherein the at least one input comprises a network element name, a band, a network element number, and geography details of the new network element, and wherein the at least one configuration parameter comprises an antenna tilt, a power, and a frequency allocation corresponding to the new network element.
6. A system (102) for managing deployment of network elements in a wireless network, the system (102) comprising: a memory (106); and a processing engine (110), coupled with the memory (106), configured to: receive (702) at least one input from a user corresponding to a new network element; dynamically compute (704) at least one configuration parameter corresponding to the new network element based on the at least one input and a preloaded data in the wireless network using a machine learning technique; create (706) an Optimum Deployment Data (ODD) for the new network element based on each of the at least one configuration parameter; and transmit (708) the ODD to an Element Management System (EMS) for deploying the new network element in the wireless network based on each of the at least one configuration parameter.
7. The system ( 102) as claimed in claim 6, wherein, to deploy the new network element in the wireless network, the processing engine (110) is configured to: execute, via the EMS, the ODD on a repository to create the new network element based on an associated set of attributes, wherein the associated set of atributes comprises at least one of a network connectivity, a software version, a firmware version, a hardware configuration, and an availability of resources; and integrate, via the EMS, the new network element within the wireless network by tuning and optimizing each of the at least one configuration parameter in response to executing.
8. The system (102) as claimed in claim 6, wherein the processing engine (110) is configured to monitor in real-time the new network element for improved network operation over a period of time by validating a status and a health of the wireless network on which the new network element is deployed.
9. The system ( 102) as claimed in claim 6, wherein the processing engine (110) is configured to determine configurations and functioning of the new network element based on the real-time monitoring of the new network element.
10. The system (102) as claimed in claim 6, wherein the at least one input comprises a network element name, a band, a network element number, and geography details of the new network element, and wherein the at least one configuration parameter comprises an antenna tilt, a power, and a frequency allocation corresponding to the new network element.
11. A user equipment (UE) coupled to a system ( 102), configured to : send at least one input corresponding to a new network element to the system (102), for deploying the new network element in a wireless network; and receive an acknowledgement from the system (102) in response to deploying the new network element.
12. 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: receive (702) at least one input from a user corresponding to a new network element; dynamically compute (704) at least one configuration parameter corresponding to the new network element based on the at least one input and a preloaded data in a wireless network using a machine learning technique; create (706) an Optimum Deployment Data (ODD) for the new network element based on each of the at least one configuration parameter; and transmit (708) the ODD to an Element Management System (EMS) for deploying the new network element to the wireless network based on each of the at least one configuration parameter.

Description

SYSTEM AND METHOD FOR MANAGING DEPLOYMENT OF NETWORK ELEMENTS IN A WIRELESS NETWORK RESERVATION 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 INVENTION [0002] The present disclosure relates generally to a field of data automation for network deployment and expansion. In particular, the present disclosure pertains to a system and a method for managing deployment of network elements in a wireless network. BACKGROUND [0003] 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. [0004] An introduction of wireless network technologies such as a 4th Generation (4G) network technology, a 5th Generation (5G) network technology, and potentially a 6th Generation (6G) network technology, has revolutionized a world of telecommunications, providing faster speeds, lower latency, and higher capacity. Currently, with an increase in demand for the 5G network technology, network providers are struggling to keep up with the demand. As a result, there is a need for quick expansion of the 5G network technology through the deployment of network elements, such as new nodes or cells, in different geographies. [0005] However, a high-scale deployment of the new nodes or cells requires automation to ensure efficiency and error-free deployment. This is because the introduction of a new cell requires configuring numerous parameters onto the existing node or deploying a completely new node. While some of these parameters are determined at runtime, other parameters are configured based on data in other nodes or systems. [0006] Currently, the process used for deploying new nodes is manual, timeconsuming, and prone to errors. Network providers have to rely on human intervention to configure these parameters, which can result in inconsistencies and errors. This manual approach lacks scalability and may lead to delays, downtimes, and customer dissatisfaction. [0007] Moreover, the deployment of the new nodes necessitates rigorous testing and validation to ensure proper functionality and service provision to customers. However, the current manual approach lacks comprehensive testing and validation. This is because, the current manual approach for testing and validation is time-consuming and prone to errors, which may result in network failures and customer dissatisfaction. [0008] There is, therefore, a need for a system and a method for managing deployment of network elements that is scalable, efficient, and error-free. SUMMARY [0009] The present disclosure discloses a method for managing deployment of network elements in a wireless network. The method includes receiving, by a processing engine, at least one input from a user corresponding to a new network element. The method includes dynamically computing, by the processing engine, at least one configuration parameter corresponding to the new network element based on the at least one input and a preloaded data in a wireless network using a machine learning technique. The method includes creating, by the processing engine, an Optimum Deployment Data (ODD) for the new network element based on the at least one configuration parameter. The method includes transmitting, by the processing engine, the ODD to an Element Management System (EMS) for deploying the new network element in the wireless network based on each of the at least one configuration parameter. [0010] In an embodiment, the method includes a step of executing, by the EMS, the ODD on a repository to create the new network element based on an associated set of attributes. The associated set of attributes includes at least one of a network connectivity, a software version, a firmware version, a hardware configuration, and an availability of resources. The method includes integrating, by the EMS, the new network element within the wireless network by tuning and optimizing each of the at least one configuration parameter in response to executing. [0011] In an embodiment, the method includes a step of monitoring in realtime, the new network e