Micro Network Function Placement in Cell Edge Clouds
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current methods for implementing lightweight core networks in mobile core networks lack an efficient approach to place micro network functions in cell edge clouds, which are optimized for individual services and resource conditions, leading to suboptimal control signaling overhead and placement costs.
Innovation Solution
A method and electronic device that determine the required micro network functions, predict control signaling overhead based on historical data using a trained model, and place these functions in cell edge clouds considering available resources, latency, and placement costs, with the option to select different cell edge clouds for optimal placement.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If micro network functions are placed in cell edge clouds to create a lightweight core network, then service customization and resource utilization are improved, but control signaling overhead increases
Solution Approach 1:
The patent applies local quality by placing specific micro network functions in selected cell edge clouds based on their service requirements and local resource conditions, rather than uniformly distributing all functions. This allows each cell edge cloud to have a customized set of network functions tailored to local service needs, improving adaptability while controlling signaling overhead by avoiding unnecessary function placements.
Solution Approach 2:
The patent uses parameter changes by dynamically adjusting placement decisions based on predicted control signaling overhead values. The system changes the placement configuration parameters (which functions are placed where) according to predicted overhead metrics, resource conditions, and service requirements, optimizing the balance between customization and signaling efficiency.
2Productivity
If micro network functions are placed in multiple cell edge clouds, then service coverage and resource utilization are improved, but placement costs increase
Solution Approach 1:
The patent applies preliminary action by predicting control signaling overhead and evaluating placement costs before actually placing micro network functions. The system performs preliminary analysis of resource conditions and overhead predictions to determine optimal placement locations, avoiding costly trial-and-error placements and reducing overall placement costs while ensuring effective resource utilization.
Solution Approach 2:
The patent uses feedback mechanisms by continuously monitoring resource conditions and control signaling overhead at cell edge clouds, and using this information to adjust future placement decisions. The system incorporates feedback from historical overhead data and current resource states to optimize placement strategies, balancing resource utilization benefits against placement costs.
Data Source
AI summary
A method, performed by an electronic device, of placing a micro network function, includes: determining at least one micro network function used for a service; predicting control signaling overhead of at least one cell including at least one cell edge cloud, based on a history of control signaling overhead of the at least one cell; and placing the at least one micro network function in the at least one cell edge cloud, based on the predicted control signaling overhead of the at least one cell.