UE Autonomous Cell Handover via AI Decision Model
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Solution Overview
Problem
Traditional cell handover processes in communication technology are inefficient due to delays in handover decisions, leading to potential handover failures when the communication environment degrades before the base station can transmit a handover command to the User Equipment (UE).
Innovation Solution
Implementing an AI model that enables the User Equipment (UE) to autonomously determine handover information and select appropriate handover timing, allowing for self-initiated cell handovers, thereby improving efficiency and reducing handover time and failure rates.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the base station decides and transmits handover command to the UE, then the handover process can be completed, but the communication environment may have degraded too much during the delay period, resulting in handover failure
Solution Approach 1:
The UE performs measurement reports and determines handover decisions in advance before the base station can process and transmit the handover command. The UE autonomously selects target cells and prepares handover information ahead of time, so when the base station eventually transmits the command, the handover can be executed immediately without waiting for additional measurement cycles.
Solution Approach 2:
The UE is empowered to autonomously make handover decisions without waiting for base station processing. The UE independently evaluates measurement reports, determines handover necessity, selects target cells, and prepares handover information, effectively serving itself in the handover decision-making process rather than passively waiting for network control.
2Productivity
If the UE waits for the base station to process measurement reports and transmit handover commands, then the network can control the handover process, but the handover efficiency is reduced due to processing time
Solution Approach 1:
The UE autonomously performs handover decision-making by independently evaluating measurement reports, determining handover necessity, selecting target cells, and preparing handover information without base station intervention in the decision process. This self-service approach eliminates waiting time and significantly improves handover efficiency.
Solution Approach 2:
The UE performs all necessary handover decision activities in advance - measuring signal quality, evaluating handover conditions, selecting target cells, and preparing handover information - before the base station needs to transmit any commands. This preliminary action ensures that when the base station does transmit the handover command, the UE is already ready to execute immediately.
Data Source
AI summary
The present disclosure relates to the field of communication technology, and provides a cell handover method and apparatus, a device, and a storage medium. The method includes: determining at least one handover information in a cell handover process based on a first AI model. Since the UE determines at least one handover information in the cell handover process based on autonomous decision-making of the AI model, it can select an appropriate handover timing or target cell autonomously to complete cell handover, thereby improving the efficiency of the cell handover, reducing the time required for the cell handover, and ensuring the handover success rate.