Radio Network Node Handover Prediction Model Parameter Configuration
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Solution Overview
Problem
In cellular radio communication systems, the traditional method of standardizing input parameters for handover predictions between base stations from different vendors leads to excessive data transmission, overloading interfaces, while alternative methods requiring additional measurements to ensure model compatibility result in inefficiencies.
Innovation Solution
A method where a first radio network node configures a second radio network node to report a subset of input parameters specifically needed for quality of service prediction, reducing data transmission and allowing for efficient handover decisions based on Quality Of Service (QoS) requirements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If all input parameters that are relevant to all vendors are reported, then model compatibility is ensured, but interface loading increases excessively
Solution Approach 1:
The patent extracts and reports only the specific input parameters that are actually needed by the prediction model of the source base station, rather than reporting all possible parameters. This selective extraction reduces data transmission volume while ensuring the prediction model receives all necessary inputs for accurate QoS prediction.
Solution Approach 2:
The source base station determines the required input parameters for its prediction model in advance, before the handover decision is made. This preliminary identification of needed parameters allows the target base station to report only those specific parameters, avoiding unnecessary data transmission and ensuring compatibility with the prediction model's requirements.
2Quantity of substance
If a minimum set of common input parameters is required to be reported, then interface loading is reduced, but additional measurements and reports are needed in many cases
Solution Approach 1:
The patent implements a dynamic parameter reporting mechanism where the set of input parameters to be reported is adapted based on the specific prediction model used by the source base station. The source base station configures the target base station to report parameters dynamically according to its own model requirements, optimizing both data transmission efficiency and handover decision accuracy without requiring additional measurements.
3Adaptability or versatility
If different vendors use different prediction models with different input parameters, then model optimization is achieved, but standardization becomes difficult
Solution Approach 1:
The patent segments the input parameters into specific sets required by different prediction models. Each base station can use its own optimized prediction model with its specific parameter requirements, while the interface is simplified through the mechanism where the source base station explicitly indicates which parameters are needed. This segmentation allows vendor-specific model optimization without increasing overall interface complexity.
Data Source
AI summary
A method and a first radio network node (110) for managing input parameters to a set of models for prediction of a quality of service of a user equipment (120) are disclosed. The first radio network node (110) operates the set of models for prediction of the quality of service. The quality of service relates to when the user equipment (120) is served by a second radio network node (130) after a handover from the first radio network node (110) to the second radio network node (130). The first radio network node (110) configures (205) the second radio network node (130) to report the input parameters at least once before the handover. The input parameters are usable by the first radio network node (110) when predicting, by use of the set of models, the quality of service. A corresponding computer program and a carrier therefor are also disclosed.