Connected Mode Pruning for Wireless Handover Optimization
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Solution Overview
Problem
Current wireless communication systems, particularly in connected mode, face challenges in intelligently selecting measurement candidates for handovers, leading to missed opportunities and poor user experience due to pruning out strong frequencies or cells, resulting in dropped calls and inefficient battery usage.
Innovation Solution
A method and apparatus for a user equipment (UE) to intelligently select measurement candidates for potential handovers by maintaining an active list based on criteria such as signal strength and quality, prioritizing measurements, and adapting the list dynamically to avoid pruning strong candidates, allowing for more accurate handover decisions and improved battery performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Use of energy by moving object
If connected mode pruning is performed to limit measurement candidates, then measurement overhead is reduced and battery consumption is decreased, but strong frequencies or cells may be pruned out leading to missed handover opportunities
Solution Approach 1:
The system performs preliminary actions by maintaining an active list of measurement candidates that are updated before handover decisions are made. This allows the UE to have measurement candidates ready in advance without continuously measuring all possible frequencies, reducing battery consumption while ensuring strong candidates are available when needed for handover opportunities.
Solution Approach 2:
The active list of measurement candidates is dynamically updated based on current network conditions and measurement results. The system adapts the list of candidates to measure over time, allowing it to respond to changing conditions while maintaining a limited scope of measurements to conserve battery power.
2Reliability
If all measurement candidates are continuously monitored, then handover opportunities are not missed, but battery life is drained and measurement overhead increases
Solution Approach 1:
The system extracts only the most relevant measurement candidates into an active list, separating them from the complete set of possible measurement candidates. This allows the UE to focus measurements on a small subset of promising candidates rather than continuously monitoring all possible frequencies and cells, thereby preserving battery life while maintaining handover reliability.
Solution Approach 2:
Instead of performing complete measurements on all possible candidates, the system performs partial measurements on a selected subset of candidates in the active list. This partial action approach reduces battery consumption significantly while still capturing sufficient information to make reliable handover decisions when needed.
3Use of energy by moving object
If measurement candidates are pruned aggressively to save battery, then energy consumption is reduced, but call reliability decreases due to dropped calls from missed handovers
Solution Approach 1:
The system uses feedback mechanisms where measurement results from the active list candidates are continuously monitored and fed back into the candidate selection process. This feedback allows the system to adjust the active list dynamically, ensuring that candidates which show promise are maintained in the list while pruning less promising ones, thereby maintaining call reliability with reduced energy consumption.
Data Source
AI summary
Certain aspects of the present disclosure provide techniques for supporting a connected mode enhanced pruning procedure. A UE may select, while operating in connected mode with a first radio access technology (RAT), measurement candidates for a potential handover based on one or more criteria, maintain an active list including the selected measurement candidates, perform at least one measurement based, at least in part, on the active list, and take one or more actions based, at least in part, on the at least one measurement.