Weighted Signal Filtering for Cellular Handover Decisions
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Solution Overview
Problem
Existing handover decision techniques in cellular networks, based on initial signal parameter measurements, often result in poor handover decisions due to significant changes in signal quality, leading to issues like early or late handovers, radio link failures, and poor call quality.
Innovation Solution
Applying a lower weight to initial signal parameter values compared to subsequent measurements when calculating filtered signal parameter values for handover decisions, ensuring more accurate reporting and improved handover decisions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If initial signal parameter measurements are given higher weight in handover decisions, then the handover decision process is simplified and responds quickly to signal changes, but the handover decisions become less accurate due to significant signal quality variations
Solution Approach 1:
The patent applies preliminary filtering action by calculating a filtered signal parameter value that combines multiple measurements before making handover decisions. This preliminary processing of measurements (giving lower weight to initial measurements and higher weight to subsequent ones) prepares more accurate input data for handover decisions, resolving the contradiction between quick response and accurate measurement by pre-processing the measurement data.
2Loss of time
If initial signal parameter values are weighted more heavily, then fewer measurements are needed for decision making, but handover failures increase due to signal quality changes
Solution Approach 1:
The patent implements continuous measurement and filtering by repeatedly measuring signal parameters and continuously updating the filtered value through weighted combination. This continuous process maintains reliable handover decisions over time by constantly adapting to signal quality changes, preventing handover failures while maintaining efficient decision-making timelines.
Solution Approach 2:
The patent applies feedback by using subsequent measurements to adjust and refine the filtered signal parameter value. The weighted combination mechanism provides feedback loops where later measurements influence the final value, improving reliability by correcting for initial measurement inaccuracies due to signal quality variations.
3Measurement precision
If more signal parameter measurements are taken and processed, then handover decision accuracy improves, but computational complexity and processing overhead increase
Solution Approach 1:
The patent changes the parameter of measurement weighting by assigning different weights to initial versus subsequent measurements. This parameter change in the filtering process achieves improved accuracy through multiple measurements while keeping computational complexity manageable through a systematic weighted averaging approach rather than complex processing algorithms.
Data Source
AI summary
A user equipment may determine an initial signal parameter value of a signal received from a base station. The user equipment may determine one or more subsequent signal parameter values corresponding to one or more signals received from the base station. The one or more subsequent signal parameter values may be measured after the initial signal parameter value. The user equipment may calculate a filtered signal parameter value based on the initial signal parameter value and the one or more subsequent signal parameter values. Each signal parameter value, of the one or more subsequent signal parameter values, may be weighted by an amount greater than or equal to a previously measured signal parameter value. The user equipment may provide the filtered signal parameter value in a measurement report.