Cloud Application Controlled Cellular Network Slice Management
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional cellular network slicing requires significant manual configuration and is not reactive to dynamic changes in user needs, application requirements, or network conditions, making it inefficient in providing optimal quality of service (QoS) for end-user devices.
Innovation Solution
A cellular network slice management system that includes an edge cloud server system and a slice orchestrator, allowing a cloud-based application to autonomously modify network slice parameters such as downlink throughput, uplink throughput, and delay tolerance without user input, and to dynamically adjust these parameters based on real-time monitoring of user equipment performance and network conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If manual configuration is used to create cellular network slices, then network slice parameters can be precisely configured to meet QoS needs, but significant manual configuration effort is required and the system cannot react to dynamic changes
Solution Approach 1:
The cloud-based application is empowered to autonomously manage and modify network slice parameters without requiring manual configuration by network architects. The application can independently adjust parameters such as bandwidth allocation, latency requirements, and quality of service levels based on real-time monitoring of network conditions and application performance, thereby eliminating manual operational effort while maintaining precise QoS configuration.
Solution Approach 2:
The system implements continuous monitoring of network slice performance metrics and dynamically adjusts parameters based on feedback from the cloud-based application. This closed-loop control enables the network slice to automatically adapt to changing conditions such as varying traffic loads, user demands, and network congestion, achieving both high adaptability and reduced manual intervention.
2Productivity
If cloud-based applications can autonomously modify network slice parameters, then dynamic adaptation to changing conditions is achieved, but system complexity increases
Solution Approach 1:
The system introduces a network slice manager as an intermediary component that mediates between the cloud-based application and the cellular network infrastructure. This manager handles the complexity of parameter modification and coordination, allowing the cloud-based application to request performance optimizations without directly managing the complex network slice configuration, thereby achieving high productivity while managing system complexity through specialized intermediary components.
Data Source
AI summary
Various systems and methods for cellular network slice management are presented. An application may be determined to be authorized to manage a cellular network slice utilized by the application for communication with user equipment. A request can be received from the application to modify the cellular network slice from the application. In response to the request, a parameter of the cellular network slice may be modified. The cellular network can then use the modified slice for communication with user equipment for the cloud-based application.