Frequency Pruning for Wireless Measurement Object Selection
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
In wireless communication systems, particularly in LTE, the number of candidate frequencies for cell reconfiguration often exceeds the UE's capabilities, leading to suboptimal measurements and potential exclusion of optimal candidate frequencies due to limited measurement capacity.
Innovation Solution
The method involves pruning candidate frequencies based on broadcasted system information and historical data from prior serving cells, allowing the UE to prioritize and select measurement objects more effectively, thereby improving measurement accuracy and efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If the UE measures all candidate frequencies, then measurement completeness is improved, but measurement precision deteriorates due to limited measurement capacity
Solution Approach 1:
The patent extracts and removes insignificant candidate frequencies from the measurement set based on pruning criteria (signal strength thresholds, historical measurement data, system information). This allows the UE to focus measurement resources on only the most relevant frequencies, thereby maintaining measurement completeness for important frequencies while improving measurement precision through concentrated resource allocation.
Solution Approach 2:
The patent changes the parameter of measurement object selection by introducing dynamic pruning criteria that filter candidate frequencies based on signal strength, historical data, and system information. This parameter-based filtering transforms the measurement set from a static comprehensive list to a dynamic optimized subset, resolving the contradiction between measuring all frequencies and maintaining measurement quality.
2Device complexity
If the UE uses measurement object identifiers to select measurement objects, then device complexity is reduced, but information completeness deteriorates
Solution Approach 1:
The patent introduces measurement object identifiers as an intermediary mechanism that links pruning criteria to measurement object selection. These identifiers serve as a bridge between the complex pruning process and the simplified measurement execution, allowing the UE to maintain low device complexity while still incorporating comprehensive frequency optimization information through the identifier-based selection process.
Data Source
AI summary
A method, an apparatus, and a computer program product for wireless communication are provided. The apparatus selects an LTE serving cell and a non-LTE serving cell. Measurement objects corresponding thereto are identified based on a review of broadcasted system information and historical information relating to prior serving cells. The apparatus identifies measurement objects from other radio access technologies (RATs) (WCDMA, CDMA, GSM). The remaining measurement objects may be identified based on measurement identifiers. The apparatus performs wireless measurements based on the selected serving cells and identified measurement objects. The resulting measurements are transmitted to the network for use in determining channel conditions.


