5G Cell Camping Selection via PBCH and RMSI Decoding
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Solution Overview
Problem
In 5G communications, high-frequency signal attenuation leads to increased cell camping delay and reduced success rate due to signal fluctuation and instability, especially when decoding physical broadcast channels (PBCH) and remaining minimum system information (RMSI) sequentially during initial receive beam sweeping.
Innovation Solution
A method and apparatus for selecting a cell to be camped on by first decoding PBCH of multiple candidate cells, selecting cells with successful PBCH decoding, and then decoding RMSI, prioritizing cells with strong signal strength and excluding barred cells to increase decoding success probability and reduce delay.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the UE sequentially decodes PBCH and RMSI of multiple obtained cells according to existing cell camping process, then the UE can select an appropriate cell to be camped on, but time is wasted in cells with signal fluctuation or instability, increasing cell camping delay and reducing cell camping success rate
Solution Approach 1:
The patent applies preliminary action by performing receive beam sweeping and obtaining candidate cell lists before the actual cell camping decision. The UE pre-processes multiple cells by decoding PBCH and obtaining RMSI in advance, creating a prepared list of candidate cells with known signal quality metrics. This preliminary preparation allows the UE to quickly select from pre-evaluated cells during camping, avoiding time-wasting sequential decoding of unstable cells and improving both success rate and reducing delay.
2Reliability
If the UE attempts to decode PBCH and RMSI of multiple cells to ensure camping success, then the cell camping success rate may improve, but the cell camping delay increases due to attempting multiple cells
Solution Approach 1:
The patent applies partial action by decoding PBCH and obtaining RMSI for multiple candidate cells in advance during receive beam sweeping, but then selecting only the best cell from this pre-prepared list for actual camping. The UE performs excessive preliminary decoding on multiple cells to ensure quality, but limits the final camping attempt to a single selected cell. This approach improves success rate through thorough preliminary evaluation while maintaining productivity by avoiding multiple retry attempts.
3Measurement precision
If the UE decodes PBCH and RMSI of all obtained cells to find the best cell, then the cell selection accuracy improves, but the time consumption and complexity increase
Solution Approach 1:
The patent applies segmentation by dividing the cell evaluation process into distinct stages: first decoding PBCH to obtain basic cell information and signal metrics, then obtaining RMSI for additional system information, and finally selecting the best cell from this segmented evaluation. The UE segments the candidate cell list into evaluated and unevaluated portions, processing cells in stages rather than all at once. This segmented approach improves selection accuracy through multi-stage evaluation while reducing complexity by managing the process in organized steps.
Data Source
AI summary
A method includes selecting N cells waiting to be camped on from a candidate cell list, decoding a Physical Broadcast Channel (PBCH) of each of the selected N cells waiting to be camped on, selecting, from at least one cell whose PBCH is successfully decoded, one cell as a cell continuing waiting to be camped on, and when a remaining minimum system information (RMSI) decoding result of the cell continuing waiting to be camped on indicates that the cell continuing waiting to be camped on meets a camping criterion, determining the cell continuing waiting to be camped on as the cell to be camped on.


