Dynamic Cell Selection Threshold for Wireless Handover
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Solution Overview
Problem
Current methods for transferring wireless devices between cells in telecommunication systems do not effectively account for the priority of cells, leading to suboptimal service quality due to unsuitable cell selection based on fixed thresholds, which fail to consider factors like morphology, band class, loading, and MIMO type.
Innovation Solution
Determine specific factors for the target cell, such as morphology, band class, loading, and MIMO type, to set a modified signal strength threshold for initiating the transfer from a serving cell to a target cell, favoring high priority cells over low priority cells by adjusting the signal strength thresholds dynamically.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If fixed signal strength thresholds are used for cell transfer, then the transfer process is simple and fast, but the service quality deteriorates due to unsuitable cell selection
Solution Approach 1:
The patent applies dynamics by transforming fixed thresholds into dynamic thresholds that adapt based on cell priority levels. The threshold is adjusted according to the priority difference between source and target cells, allowing the system to maintain fast transfer decisions while improving service quality through context-aware threshold selection.
Solution Approach 2:
The patent changes the parameter of signal strength threshold from a fixed value to a variable value that depends on cell priority characteristics. By introducing priority-based threshold adjustments, the system modifies the threshold parameter dynamically to balance transfer speed and service quality.
2Device complexity
If cell transfer decisions are made without considering cell priority factors, then the transfer process is simple, but the network performance deteriorates due to suboptimal cell selection
Solution Approach 1:
The patent applies local quality by assigning different priority characteristics to different cells based on their specific properties (morphology, band class, loading, MIMO type). Each cell is evaluated locally according to its own characteristics, allowing the system to maintain simple overall decision logic while achieving improved network performance through localized quality assessment.
Solution Approach 2:
The patent performs preliminary action by pre-determining cell priority levels based on cell characteristics before the actual transfer decision. This preliminary classification allows the transfer mechanism to operate simply by comparing priority levels, while the network performance benefits from the advance preparation of priority information.
3Reliability
If dynamic threshold adjustment based on multiple factors is implemented, then the service quality improves through better cell selection, but the computational complexity increases
Solution Approach 1:
The patent applies segmentation by dividing the complex threshold adjustment process into discrete priority levels and predefined adjustment rules. Instead of continuous complex calculations, the system segments the decision space into manageable priority categories, simplifying the computational burden while maintaining service quality improvements.
Solution Approach 2:
The patent uses lightweight, easily computable priority metrics that can be quickly determined from basic cell characteristics. The approach favors simple, fast-to-calculate parameters over complex measurements, enabling dynamic threshold adjustment with minimal computational overhead.
Data Source
AI summary
One or more factors are determined for a target cell, the one or more factors being at least one of a morphology, a band class, a loading, and a MIMO type. A modified target cell signal strength threshold for the target cell is set using the one or more factors. The modified target cell signal strength threshold is utilized to initiate a transfer of the wireless device from the serving cell to the target cell.