Cell Ranking via Beam-Specific Filtering in Multi-Beam Systems
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Solution Overview
Problem
Current cellular systems face challenges in accurately determining cell quality and beam-specific measurement reporting, especially in multi-beam environments where averaging across an entire cell may lose important information about per-beam quality and the number of 'good' beams, impacting intra-frequency cell ranking and mobility management.
Innovation Solution
The solution involves a user equipment (UE) performing beam-specific measurements and filtering to calculate cell quality levels, using a two-stage filtering scheme that separates beam-specific and cell-specific reporting criteria, allowing for more precise evaluation and reporting of beam qualities and cell qualities, which enables improved intra-frequency cell ranking and mobility management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If beam-specific measurements and two-stage filtering are implemented, then measurement precision and cell quality assessment accuracy are improved, but device complexity and processing requirements increase
Solution Approach 1:
The patent divides the filtering process into two distinct stages: beam-specific filtering (L1 filtering) and cell-specific filtering (L3 filtering). This segmentation allows each stage to handle specific aspects of measurement data independently, improving precision while managing complexity through modular processing rather than a single monolithic filter
Solution Approach 2:
The patent introduces a hierarchical dimension to the filtering process by operating at two different levels: beam level (L1) and cell level (L3). This dimensional approach allows simultaneous processing of granular beam measurements and aggregated cell measurements, resolving the contradiction between detailed measurement precision and overall system complexity
2Device complexity
If averaging across entire cell is performed, then device complexity is reduced, but loss of information about per-beam quality and number of good beams increases
Solution Approach 1:
Instead of averaging all beam measurements into a single cell value, the patent segments the measurement process to maintain separate beam-level statistics (including count of good beams) and cell-level statistics. This segmentation preserves granular information while still enabling simplified cell-level decision-making
Solution Approach 2:
The patent introduces beam-specific filtered measurements as an intermediary layer between raw beam measurements and final cell quality assessment. This intermediary preserves per-beam quality information and good beam counts while feeding aggregated data to the cell-level filtering stage, preventing information loss
3Reliability
If beam-specific measurement reporting is implemented, then reliability of mobility management is improved, but signaling overhead increases
Solution Approach 1:
The patent extracts only the essential beam-specific information (filtered beam measurements and good beam counts) needed for mobility decisions, separating this from complete raw measurement data. This extraction provides sufficient reliability for handover decisions while minimizing the amount of data that needs to be reported and processed
Data Source
AI summary
In accordance with an example embodiment, there is disclosed a method comprising: receiving, by a user equipment in a wireless network, beam information from a serving cell and each neighboring cell; assessing a beam quality of the serving cell and each neighboring cell from the information; determining a subset of the serving cell and neighboring cells comprising the serving cell and each neighboring cell with a beam quality within a first offset of the serving cell and each neighboring cell with a highest quality beam; ranking each cell of the subset in descending order from highest to lowest quality.