Cloud-native lifecycle and slicing management system for 5G network functions

Abstract

A cloud-native lifecycle and slicing management system (100) for 5G network functions, comprising: a. a lifecycle management module to automate the deployment, scaling, and decommissioning of 5G network functions; b. a slicing management module for orchestrating and managing network slices; c. a cloud-native orchestration module for provisioning and managing resources in a distributed cloud environment; d. an AI-driven optimization module to dynamically adjust network configurations based on real-time data; and e. a monitoring and analysis module for real-time monitoring, error detection and performance optimization.

Description

The present invention relates to telecommunications, and more particularly to systems and for managing lifecycle and network slicing of 5G network functions in a cloud-native environment. More particularly, the invention relates to an intelligent and automated system for efficient orchestration, optimization, and management of the provision, configuration, and operation of 5G network functions in a cloud-native infrastructure.5G networks are intended to provide higher bandwidth, lower latency, and greater flexibility compared to previous generations of cellular networks. An essential feature of 5G networks is network slicing, which allows operators to create virtualized network segments with individual configurations to meet different user requirements. However, managing the life cycle and operation of 5G network slices, particularly in a cloud-native environment, presents a number of challenges.Conventional network management solutions have not been developed for the dynamic and scalable nature of cloud-native architectures or the complications associated with 5G network slicing. The ability to efficiently provide, manage, and optimize network slices over time requires an advanced, intelligent management system that automate tasks, optimize resource usage, ensure network performance, and manage the entire life cycle of network functions.Therefore, there is a need for a novel system that utilizes cloud-native technologies to effectively manage 5G network functions, lifecycle events, and slicing operations while maintaining the agility and scalability required for 5G networks.An object of the present disclosure is to automate the provision, scaling, and de-operation of 5G network functions in a cloud-native environment.Another object of the present disclosure is to enable the dynamic creation, management, and modification of network slices with customized QoS and performance requirements.Another object of the present disclosure is to optimize resource allocation between network functions and slices based on real-time demandIt is another object of the present disclosure to provide AI controlled optimization of network performance, reduction of latency, and improvement of bandwidth utilization.Another object of the present disclosure is to integrate real-time monitoring and analysis for proactive detection of network problems and performance trends.Another object of the present disclosure is to provide secure data transmission and compliance with legal standards such as GDPR.Another object of the present disclosure is to improve the agility and scalability of network functions by cloud-native orchestration frameworks.Another object of the present disclosure is to provide isolation and secure communication between different network slices within the 5G infrastructure.The present invention relates to a life cycle management module. This module manages the entire life cycle of 5G network functions, from the device to shutdown. It automates the provisioning, scaling and monitoring of network functions in response to the network requirements and ensures the proper configuration and state of the network functions provided.Another embodiment of the present invention comprises the slicing management module: this module is responsible for orchestrating and managing 5G network slices. It allows the creation, modification and deletion of network slices with specific configurations tailored to different use cases and service requirements. The module also takes on resource allocation, provides isolation between slices, and manages communication between slices.Another embodiment of the present invention is the cloud-native orchestration module. The system utilizes cloud-native orchestration, such as Kubernetes or OpenStack, to automate the provision and management of resources. It ensures that 5G network functions and slices are provided in distributed cloud environments where the resources are dynamically adjusted in real time to ensure optimal performance.Another embodiment of the present invention is the AI-controlled optimization module: this module uses machine learning algorithms to optimize the placement, scaling, and operation of network functions and slices. The AI module analyzes historical data and real-time data to predict network demand, detect potential issues, and recommend adjustments to ensure network efficiency and quality of services.Another embodiment of the present invention includes the monitoring and analysis module: The system includes a monitoring module that collects data from the entire network and enables real-time monitoring of network functions, slices, and resources. Augmented analyses are applied to detect anomalies, evaluate performance, and predict network trends.Another embodiment of the present invention is the security and compliance module: To ensure network security and compliance with legal requirements, the system includes a security module that implements authentication, authorization, and encryption protocols. It also monitors compliance with the data protection regulations and ensures that the user data remains protected.The cloud-native lifecycle and slicing management system for 5G network functions automates and optimizes the provisioning, scaling, and management of network functions and slices in a cloud-native environment. The system comprises a lifecycle management module for automatizing the provision and deactivation of network functions and a slicing management module for dynamically creating and managing isolated network slices. The cloud-native orchestration module provides efficient resource allocation in distributed cloud environments, while the AI-driven optimization module utilizes machine learning to optimize network performance. A monitoring and analysis module provides real-time insight into the network state, and a security and compliance module provides data protection and compliance with regulations.The invention is explained again below with reference to the figure. The following shows: FIG. 1 is an illustration of a cloud native lifecycle and slicing management system (100) for 5G network functions.FIG. 1 shows an illustration of a cloud-native lifecycle and slicing management system (100) for 5G network functions. The cloud-native lifecycle and slicing management system for 5G network functions automates and optimizes the provisioning, configuration, scaling, and de-provisioning of network functions and slices in a distributed cloud-native environment. First, the system instantiates 5G network functions and assigns them to the corresponding network slices based on predefined configurations or real-time requirements using cloud-native orchestration modules such as Kubernetes. The slicing management module enables the dynamic creation, modification and deletion of network slices with specific parameters such as quality of service (QoS), bandwidth and latency tailored to different use cases such as extended mobile broadband or extremely reliable low-latency communication. With varying network requirements, the lifecycle management module provides automatic scaling of the network functions and slices and adjusts the resources in real time to accommodate traffic variations while still providing optimal performance. The system includes an AI-controlled optimization module that analyzes real-time and historical data to predict future network requirements and automatically adapt the configurations to optimize resource usage and minimize latency.Moreover, the monitoring and analysis platform continuously collects performance data from the entire network, thus allowing real-time anomaly detection, performance penalty or failure, as well as predicting potential issues through predictive analyses, enabling proactive network management. The security and compliance module ensures secure handling of data by encryption and access checks and ensures compliance with legal requirements such as the GDPR. Overall, the system integrates these processes into a seamless cloud-native framework and provides a smart, automated, and scalable solution for lifecycle management and slicing of 5G network functions.

Claims

A cloud-native lifecycle and slicing management system (100) for 5G network functions, comprising: a. a lifecycle management module for automatizing provisioning, scaling, and de-provisioning of 5G network functions; b. a slicing management module for orchestrating and managing network slices; c. a cloud-native orchestrating module for provisioning and managing resources in a distributed cloud environment; d. an AI-controlled optimization module for dynamically adapting network configurations based on real-time data; and e. a monitoring and analysis module for real-time monitoring, fault detection, and performance optimization.The system (100) of claim 1, wherein the AI-controlled optimization module analyzes historical and real-time data to predict network requirements and optimize the placement and scaling of network functions.The system (100) of claim 1, wherein the slicing management module ensures isolation between network slices and dynamically allocates resources based on service requests.The system (100) of claim 1, wherein the lifecycle management module supports automatic scaling and adaptation of network functions to different traffic requirements.The system (100) of claim 1, wherein the security and compliance module provides for encryption of data and compliance with legal data protection standards.The system (100) of claim 1, wherein the monitoring and analysis module applies advanced analyses to detect network anomalies and predict future performance trends.

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