Service-Quality Analytics for Reliable Cell Handover Decisions
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Solution Overview
Problem
Current cell handover decisions in wireless communication networks based on UE measurement reports may not ensure service quality and can even reduce it, lacking a reliable basis for decision-making.
Innovation Solution
Implementing a communication method where access network elements utilize service quality analytics results from a data analytics network element to make informed handover decisions, considering both service quality and signal quality conditions, with optional priority information for different service types or channels.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If cell handover decision is made based on UE measurement report, then handover can be performed, but service quality of UE cannot be ensured and may even be reduced
Solution Approach 1:
A data analytics network element is introduced as an intermediary between the access network element and the handover decision process. This intermediary collects service quality data from multiple sources, performs analytics processing, and provides comprehensive handover decision basis to the access network element, thereby improving the reliability of handover decisions while ensuring service quality.
Solution Approach 2:
The system implements a feedback mechanism where the data analytics network element continuously monitors service quality indicators, analyzes the data, and feeds back handover recommendations to the access network element. This closed-loop feedback ensures that handover decisions are based on actual service quality conditions rather than just signal measurements.
2Ease of operation
If handover is performed based on signal quality threshold, then handover decision can be made, but it may not reflect actual service quality requirements
Solution Approach 1:
The system transforms the handover decision basis from simple signal quality parameters to comprehensive service quality parameters. The data analytics network element analyzes multiple service quality indicators (throughput, latency, packet loss, etc.) and converts them into actionable handover recommendations, enabling easier decision-making while ensuring service quality requirements are met.
Solution Approach 2:
The data analytics network element serves multiple functions: collecting data from various sources, analyzing service quality, generating handover recommendations, and providing decision basis to access network elements. This multi-functional approach simplifies the overall handover decision process while improving service quality assurance.
Data Source
AI summary
This application provides a communication method, a communication apparatus, a device, and a communication system. A data analytics network element determines a service quality analytics result for a target terminal device, and sends the service quality analytics result to an access network element. After receiving the service quality analytics result, the access network element may perform handover decision on the target terminal device based on the service quality analytics result.


