Network Node Anchor Selection for Location-Aware Application Mobility
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Solution Overview
Problem
Existing communication networks struggle with inefficient mobility between application instances in edge clouds, lacking mechanisms to dynamically select optimal communication anchor points based on user equipment location, leading to increased latency and resource inefficiencies.
Innovation Solution
A network node determines an anchor point for user equipment based on location information and edge connectivity service configuration, utilizing location-aware routing to optimize communication by dynamically selecting the most suitable edge cloud location.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If distributed applications are hosted in edge clouds to reduce latency, then service quality is improved, but mobility between application instances becomes inefficient
Solution Approach 1:
The patent implements dynamic selection of communication anchor points based on real-time location information of user equipment. The system continuously monitors UE location and dynamically determines the optimal edge cloud location for serving the application, enabling efficient mobility between application instances while maintaining low latency.
Solution Approach 2:
The system employs feedback mechanisms by obtaining location information of user equipment and using this feedback to determine the appropriate communication anchor point. This closed-loop approach ensures that the application instance selection adapts to changing user locations, resolving the contradiction between low latency and efficient mobility.
2Device complexity
If static anchor point selection is used, then system complexity is reduced, but latency increases due to inability to serve from nearest edge cloud location
Solution Approach 1:
The patent changes the parameter of anchor point selection from static to dynamic based on location information. By introducing location-based parameter changes, the system achieves low latency through nearest-edge-cloud selection without requiring complex real-time optimization algorithms, thus maintaining relatively simple system architecture.
3Loss of time
If dynamic location-aware routing is implemented, then latency is reduced by serving from nearest edge cloud, but resource utilization becomes inefficient
Solution Approach 1:
The patent makes the communication anchor point selection mechanism universal by applying location-aware routing to distributed applications in edge clouds. This multi-functional approach serves multiple purposes: reducing latency by selecting nearest edge cloud locations while also optimizing resource utilization through intelligent anchor point selection, thereby eliminating the perceived contradiction.
Data Source
AI summary
Embodiments herein provide e.g. a method performed by a network node (13) for providing an application to a user equipment, UE, (10) in a communication network. The network node (13) obtains location information indicating a location of the UE (10); and determines an anchor point for the UE (10) based on the obtained location information and a configuration of an edge connectivity service associated with the application.