Cell Re-selection Using Stored Suitability Parameters
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current cell re-selection methods in mobile devices are inefficient as they require frequent decoding of suitability parameters, leading to battery power consumption and incorrect evaluation of candidate cells, especially when incorrect parameters are stored or when cells have different threshold criteria.
Innovation Solution
A method where mobile devices store suitability parameters on a per-frequency or per-cell basis, allowing evaluation without frequent decoding, and using default parameters when specific criteria are not met, to minimize power consumption and ensure accurate re-selection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If suitability parameters are decoded frequently to ensure accurate cell re-selection evaluation, then measurement precision is improved, but use of energy increases
Solution Approach 1:
The patent applies preliminary action by decoding and storing suitability parameters in advance before they are needed for cell re-selection evaluation. The mobile device decodes parameters such as Qrxlevmin, Qqualmin, Snon-serving, and Ocn from the serving cell or previously accessed cells, and stores them in memory for later reuse. This allows the device to perform multiple evaluations without repeatedly decoding the same parameters, significantly reducing power consumption while maintaining evaluation accuracy.
Solution Approach 2:
The patent uses copying by creating and storing copies of suitability parameters from the serving cell or previously accessed cells. Instead of decoding parameters directly from candidate cells during each evaluation, the device copies and stores these parameters from the serving cell's system information or from previously decoded cell data. This copied parameter approach enables efficient reuse across multiple re-selection evaluations without the energy cost of repeated decoding operations.
2Productivity
If stored parameters from one cell are reused for another cell, then productivity is improved, but measurement precision deteriorates
Solution Approach 1:
The patent applies local quality by making the reuse of stored suitability parameters conditional on matching local characteristics between cells. Specifically, the device reuses stored parameters only when the candidate cell has the same cell identity (cell ID, scrambling code, or physical layer identity) as the cell from which the parameters were obtained. This ensures that parameters are applied locally and specifically to matching cells rather than universally, maintaining precision while improving efficiency through reuse.
Solution Approach 2:
The patent uses feedback mechanisms to verify whether stored parameters are applicable to the current candidate cell before reuse. The device checks whether the candidate cell's identity matches the stored cell's identity, and only reuses parameters when this feedback condition is satisfied. This feedback-based approach prevents incorrect parameter application while allowing efficient reuse when conditions match, balancing productivity and measurement precision.
3Reliability
If parameters are decoded from every candidate cell, then reliability is improved, but loss of time increases
Solution Approach 1:
The patent applies preliminary action by pre-decoding and storing suitability parameters from the serving cell or previously accessed cells before actual re-selection evaluation is needed. This advance preparation ensures that when a candidate cell is evaluated, the necessary parameters are already available in memory, eliminating the time-consuming decoding step while maintaining reliable evaluation accuracy through the use of valid, pre-obtained parameters.
Solution Approach 2:
The patent uses copying to replicate suitability parameters from the serving cell or previously accessed cells and store them for immediate reuse. This copying approach eliminates the need to decode parameters from every candidate cell in real-time, significantly reducing evaluation time while maintaining reliability through the use of accurate, pre-copied parameter values that are validated for applicability.
Data Source
AI summary
According to an aspect of the present disclosure, there may be provided a method in a wireless cellular telecommunications device camped on a serving cell, the device storing a parameter obtained by decoding system information of a first cell. The method comprises: measuring an attribute of a signal received from a candidate cell; and, evaluating the candidate cell for re-selection based on the measured attribute according to a priority-based re-selection algorithm irrespective of the stored parameter. The parameter indicates a minimum required received signal code power. A device and computer readable medium are also provided.


