Statistics-Assisted Secondary Cell Selection in Carrier Aggregation
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Solution Overview
Problem
The existing secondary cell selection process in carrier aggregation schemes for wireless devices incurs throughput loss and increased battery consumption due to the need for measurement gaps and the requirement to disable s-Measure, which are not desirable for User Equipment (UEs).
Innovation Solution
A statistics-assisted sCell selection process is implemented, where network nodes collect statistics on the correlation between source cells and successful/successful sCells to select carrier frequencies and candidate sCells without obtaining signal quality measurements, thereby avoiding measurement gaps and reducing battery consumption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If inter-frequency measurements are performed for sCell selection, then sCell coverage can be determined, but throughput loss occurs due to measurement gaps
Solution Approach 1:
The network node performs preliminary actions by collecting statistics on sCell selection successes and failures in advance, building a correlation database between source cells and candidate sCells. This pre-collected statistical information enables subsequent sCell selections to be made without performing time-consuming inter-frequency measurements, thus avoiding measurement gaps and maintaining throughput while ensuring reliable sCell coverage determination.
2Measurement precision
If s-Measure parameter is disabled to perform measurements on candidate sCells, then measurement accuracy improves, but battery consumption increases
Solution Approach 1:
The network node utilizes feedback in the form of collected statistics from previous sCell selection outcomes. By analyzing historical measurement results, success rates, and correlation data between source cells and candidate sCells, the system can make informed sCell selections without requiring the wireless device to perform new measurements. This feedback mechanism maintains measurement precision through pre-collected accurate data while eliminating the need for the wireless device to consume battery power during measurement activities.
3Productivity
If blind sCell selection is performed without measurements, then throughput is maintained, but selection accuracy decreases
Solution Approach 1:
The invention changes the parameter basis for sCell selection from real-time signal quality measurements to pre-collected statistical parameters including success rates, failure rates, and correlation coefficients between source cells and candidate sCells. By transforming the selection criterion from physical measurement values to processed statistical parameters, the system maintains throughput (by avoiding measurement gaps) while improving selection accuracy through data-driven decision making based on historical performance patterns.
Data Source
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AI summary
Systems and methods for Secondary Cell (sCell) selection for wireless devices operating according to a carrier aggregation scheme in a cellular communications network are disclosed. More specifically, in some embodiments, a statistics-assisted sCell selection process is utilized for sCell selection. This statistics-assisted sCell selection process improves the efficiency of sCell selection, particularly where there are multiple candidate sCells on multiple carrier frequencies.