Cell Selection Bias for Reduced Capability UEs
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Solution Overview
Problem
Legacy gNBs provide reduced geographic coverage for RC UEs compared to SSB, leading to performance issues, while new gNBs can offer uniform coverage, necessitating a method to steer RC UEs towards these new gNBs for improved performance.
Innovation Solution
Implementing class-specific cell selection parameters in system information to bias RC UEs towards new gNBs that support wider geographic coverage for control data and traffic data, enhancing their performance by ensuring they camp on cells capable of providing enhanced geographic coverage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If RC UEs connect to legacy gNBs, then they can access the network, but their geographic coverage is reduced compared to SSB coverage
Solution Approach 1:
The patent applies local quality by introducing class-specific cell selection parameters (q-RxLevOffsetCell_ClassX, q-QualOffsetCell_ClassX) that provide differentiated coverage characteristics for different UE classes. RC UEs receive optimized offset parameters tailored to their specific capabilities and coverage requirements, while other UE classes use standard parameters. This allows each UE class to experience optimized local coverage quality appropriate to its needs.
Solution Approach 2:
The patent changes the cell selection parameters specifically for RC UEs by introducing class-specific offset values in system information. These parameter changes (q-RxLevOffsetCell_ClassX for received signal level and q-QualOffsetCell_ClassX for quality) modify the cell selection criteria to expand coverage area for RC UEs, directly addressing the coverage reduction problem while maintaining network performance.
2Adaptability or versatility
If class-specific cell selection parameters are introduced, then RC UEs can be steered to appropriate cells, but system information complexity increases
Solution Approach 1:
The patent segments the cell selection parameters into class-specific groups, creating separate parameter sets for different UE classes. Instead of a single unified parameter set, the system now provides differentiated parameters (q-RxLevOffsetCell_ClassX, q-QualOffsetCell_ClassX) for RC UEs versus standard parameters for other UEs. This segmentation enables targeted optimization for each UE class while maintaining manageable system information structure through organized parameter groups.
Data Source
AI summary
In a legacy gNB (e.g., pre-Rel. 17 gNB), RC UEs with only 1 or 2 receive antennas may have a geographic coverage area for control data and traffic data that is smaller than their geographic coverage area for SSB with respect to certain legacy gNBs. By contrast, at least some new gNBs (e.g., Rel. 17+ gNBs) have the capability to provide uniform geographic coverage for RC UEs with respect to SSB, control data and traffic data. In an aspect of the disclosure, a particular class of UEs (such as RC UEs) is steered towards particular cells (e.g., Rel. 17+ gNBs) via one or more biased class-specific cell selection parameters included in system information from the cells.


