Adaptive Layer 2 Filtering for Handover Measurement Timing
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Solution Overview
Problem
Current communication systems face challenges in processing Layer 1 measurements effectively for handover decisions due to issues with measurement timing and filtering, leading to suboptimal handover performance.
Innovation Solution
The method involves using the timing information of Layer 1 measurements to adapt Layer 2 filtering, including the use of measurement age information and flag indications to update the forgetting factor, thereby preserving the time characteristics of the filter.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If Layer 1 measurements are filtered using traditional Layer 2 filtering without timing adaptation, then filtering simplicity is maintained, but measurement accuracy deteriorates due to ignoring measurement timing information
Solution Approach 1:
The Layer 2 filter is made dynamic by adapting its forgetting factor based on measurement timing information. The filter transitions from a static configuration to a dynamic one that adjusts its characteristics according to the timing of Layer 1 measurements, thereby improving measurement accuracy without requiring a completely new filtering architecture.
Solution Approach 2:
The forgetting factor of the Layer 2 filter is changed as a parameter based on measurement timing information. By modifying this key parameter dynamically according to when measurements are taken, the system achieves better measurement accuracy while maintaining the existing filtering framework, thus avoiding excessive complexity increase.
2Reliability
If measurement timing information is ignored in handover decisions, then decision speed is maintained, but handover reliability deteriorates due to suboptimal handover performance
Solution Approach 1:
Measurement timing information is collected and processed in advance before handover decisions are made. The system prepares timing-aware measurement data beforehand, allowing handover decisions to incorporate this information without adding significant processing delay, thus improving reliability without sacrificing decision speed.
3Measurement precision
If Layer 2 filtering is adapted based on measurement timing, then measurement accuracy is improved, but processing complexity increases
Solution Approach 1:
Instead of redesigning the entire Layer 2 filtering process, the invention adapts it by changing the forgetting factor parameter based on measurement timing. This parameter-based adaptation approach improves measurement accuracy while keeping the overall processing complexity manageable by modifying only the necessary filter parameter.
4Object-generated harmful factors
If traditional filtering is used without timing adaptation, then system simplicity is maintained, but ping-pong effects increase in handover decisions
Solution Approach 1:
The filtering mechanism is made dynamic by adapting the forgetting factor to measurement timing, which helps stabilize handover decisions and reduce ping-pong effects. This dynamic adaptation prevents the harmful oscillations between cells while avoiding the need for completely complex filtering mechanisms.
Data Source
AI summary
Apparatus and methods for processing information of Layer 1 measurements taken by a communication device are disclosed. In the processing information of timing of Layer 1 measurements is used to adapt the Layer 1 measurements with Layer 2 filtering.