Radio Access Bearer Selection Using Historical Performance Data
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Solution Overview
Problem
Conventional radio access bearer (RAB) handover processes are often ignorant of historical performance data, leading to potential degradation in user equipment (UE) performance during handovers, as they do not consider the historical reliability and efficiency of RAB resources before selecting a new bearer.
Innovation Solution
A system that utilizes historical information related to radio access bearer resources to rank and select the most suitable RAB for handover events, incorporating location determination and analysis components to assess both contemporaneous and historical characteristics of RAB resources, ensuring more efficient and reliable data transmission.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional RAB handover process is used based on data transmission provisioning information and available data transmission resources, then the handover can be completed quickly, but the UE performance may degrade because the process is ignorant of historical information indicating potential RAB reliability issues
Solution Approach 1:
The system performs preliminary analysis of historical information about candidate RAB resources before handover is executed. The network node stores and evaluates historical performance data (such as handover success rates, data transmission reliability) of potential target RABs in advance, so that when handover is needed, the selection can be made based on pre-evaluated reliability metrics rather than just current availability, thus improving handover reliability without adding significant complexity to the execution phase
Solution Approach 2:
The system implements feedback mechanisms where historical performance information of RAB resources is continuously collected, stored, and used to inform future handover decisions. The network node maintains historical information about candidate RAB resources including metrics like handover success rates and data transmission reliability, and uses this feedback loop to improve selection accuracy over time, balancing reliability improvement with controlled complexity through systematic information reuse
2Measurement precision
If historical information analysis is incorporated into RAB selection, then the selection accuracy and UE performance are improved, but the processing time and system complexity increase
Solution Approach 1:
Historical information about candidate RAB resources is collected, stored, and pre-processed before handover events occur. The network node maintains databases of historical performance metrics (handover success rates, data transmission reliability, fluctuation patterns) that are prepared in advance, allowing rapid querying and comparison during actual handover decisions without requiring time-consuming real-time analysis
Solution Approach 2:
The system analyzes only the most relevant historical metrics needed for handover decision-making rather than processing all available data. By focusing on key indicators such as handover success rates and data transmission reliability of candidate RABs, the system achieves sufficient selection accuracy without the computational overhead of comprehensive historical analysis, thus reducing processing time while maintaining improved selection precision
3Productivity
If RAB handover is performed to a RAB that is going in and out of service, then resource utilization is maximized, but the connection stability and UE performance deteriorate
Solution Approach 1:
The system uses historical information feedback to identify RAB resources that frequently fluctuate between in-service and out-of-service states. By analyzing past performance data including handover success rates and availability patterns, the network node can recognize unstable RABs and avoid selecting them as handover targets, even when they appear currently available, thus maintaining connection stability while still achieving good resource utilization through informed selection
Solution Approach 2:
The system pre-evaluates the stability characteristics of candidate RAB resources by analyzing historical data before handover decisions are made. Network nodes store and assess historical information about RAB fluctuation patterns, allowing them to identify and exclude unstable RABs from consideration in advance, ensuring that handovers are directed to stable resources and preventing repeated connection failures that would occur with fluctuating RABs
Data Source
AI summary
The disclosed subject matter provides for selecting a radio access bearer resource based on historical data related to the radio access bearer resource. Location information can be employed to determine a radio access bearer resource. Historical information related to the radio access bearer resource can then be employed to determine the suitability of the radio access bearer resource. A set of radio access bearer resources can be ordered or ranked to allow selection of a suitable radio access bearer resource from the set. Incorporation of historical information can provide for additional metrics in the selection of a radio access bearer resource over simple contemporaneous radio access bearer resource information. In some embodiments timed fingerprint location (TFL) information can be employed to determine a location.