Computing Power Reconfiguration for AI Task Continuity in Handover
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Solution Overview
Problem
Existing wireless networks struggle to ensure continuity of computing task execution during cell handovers, particularly in scenarios involving artificial intelligence, where both computing power and connection services are required.
Innovation Solution
A computing power reconfiguration method is implemented by a Computing Management Function (CMF) to obtain and utilize computing power information of target access network devices and core network elements, allowing for flexible migration of computing tasks and ensuring continuity during cell handovers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If computing tasks are migrated during cell handover, then continuity of computing task execution is improved, but device complexity and network coordination overhead increase
Solution Approach 1:
The CMF obtains computing power information of target access network devices in advance before handover occurs. This preliminary action allows the system to pre-evaluate suitable target devices for computing task migration, reducing the coordination overhead during actual handover while ensuring continuity of computing task execution.
Solution Approach 2:
The CMF acts as an intermediary between access network devices and core network elements. It centrally manages computing power information and coordinates migration decisions, simplifying the overall network coordination by providing a single point of control rather than requiring direct peer-to-peer communication between multiple network entities.
2Adaptability or versatility
If computing power information is collected and processed, then computing task migration capability is improved, but information processing overhead and signaling traffic increase
Solution Approach 1:
The computing power information obtained by the CMF serves multiple purposes: it enables computing task migration decisions, supports service quality maintenance, and facilitates continuity assurance during handover. This multi-functionality reduces the need for separate information collection processes, thereby reducing overall signaling traffic overhead.
Solution Approach 2:
Access network devices and core network elements provide computing power information to the CMF in a self-service manner as part of their normal operations. This reduces the need for additional dedicated signaling mechanisms, as the information is obtained through existing network communication channels during regular handover procedures.
3Reliability
If computing resources are dynamically reallocated, then service quality during handover is improved, but control complexity and processing time increase
Solution Approach 1:
The system dynamically adjusts computing task allocation based on changes in computing power information parameters of access network devices. By monitoring and responding to parameter changes (such as available computing resources, device capacity), the CMF can reallocate computing resources efficiently without requiring complex control logic, thereby maintaining service quality while managing control complexity.
Data Source
AI summary
receiving an acknowledgment message for the CE configuration message from the target access network device, and receiving an acknowledgment message for the CE reconfiguration or deletion message from the first core network element. According to embodiments of this application, continuity of computing task execution can be implemented in a cell handover scenario.