Map-Based Handover Prediction for Unreliable UE Location Data
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing handover prediction methods in communication systems suffer from low accuracy due to reliance on location information that is prone to errors and unstable signal strength, leading to reduced prediction efficiency and performance.
Innovation Solution
A method that utilizes pre-trained models to predict handover based on high-precision map information, incorporating environmental error information to accurately determine the target base station, without requiring location or signal strength data from the user equipment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If location information and received signal strength are used for handover prediction, then prediction can be performed, but prediction accuracy is low due to errors in location information and unstable signal strength
Solution Approach 1:
The patent pre-processes location information and signal strength data through error correction mechanisms before using them for handover prediction. By performing preliminary actions to correct errors and stabilize data quality, the system improves prediction accuracy without relying on inherently unreliable raw measurements.
Solution Approach 2:
The patent introduces map information as an intermediary element that connects the unreliable location/signal data with the handover decision. This intermediary provides a stable reference framework that compensates for errors in the original measurements, enabling more accurate prediction.
2Productivity
If location information and signal strength data are collected from UE, then handover prediction can be performed, but computational complexity increases
Solution Approach 1:
The patent extracts and utilizes map information that is already available in the system, rather than collecting and processing all possible location and signal data from the UE. This extraction approach reduces computational complexity while maintaining prediction capability.
Solution Approach 2:
The patent changes the parameters used for prediction from raw location and signal strength measurements to processed map information and error-corrected data. This parameter transformation reduces the computational burden while improving prediction reliability.
3Measurement precision
If traditional handover prediction methods are used, then system operation is simple, but prediction accuracy is low
Solution Approach 1:
The patent performs preliminary error correction and data processing before handover prediction, which improves accuracy. Although this adds steps to the process, the pre-processing nature of these operations means they can be implemented systematically without significantly complicating the overall system operation.
Solution Approach 2:
The patent introduces map information as an intermediary that simplifies the prediction process by providing a stable reference framework. This intermediary element makes the system more robust and easier to operate reliably, even though it adds a data source.
Data Source
Figure 1~2B
Figure 3A~4B
Figure 5~6B
AI summary
Provided in the present disclosure are a handover prediction method and apparatus, and a device and a storage medium. The method comprises: receiving map information, which is sent by a second device, of a physical environment in which a user equipment (UE) is located; and predicting, according to the map information, a base station to which the UE needs to be handed over. The method of the present disclosure has both high prediction accuracy and good performance.