Dynamic SSS Threshold for Wireless Cell Search
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Solution Overview
Problem
In cellular networks, cell search operations face challenges with high miss detection and false alarm rates due to PCI collisions and the computational complexity of successive interference cancellation techniques, especially when detecting secondary synchronization signals (SSS) with predetermined thresholds.
Innovation Solution
The use of dynamically updatable thresholds for SSS detection during successive interference cancellation, allowing for multiple SSS detection operations responsive to detected PSS indices, reduces computational complexity and maintains low false alarm rates by canceling SSS components before PSS components.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a predetermined threshold is used for SSS detection, then the detection process is simple, but the false alarm rate increases with successive interference cancellation iterations
Solution Approach 1:
The patent applies dynamics by transitioning from a static predetermined threshold to a dynamic threshold that adapts during successive interference cancellation iterations. The threshold is updated based on the correlation power peak values detected in each iteration, allowing it to adjust to changing signal conditions and maintain appropriate detection sensitivity throughout the cancellation process.
Solution Approach 2:
The patent implements feedback by using the correlation power peak values detected in each SSS detection iteration to update the threshold for subsequent iterations. This feedback mechanism ensures that the threshold reflects the actual signal conditions encountered during the cancellation process, preventing false alarms while maintaining detection accuracy.
2Measurement precision
If successive interference cancellation is performed to detect multiple SSS indices, then detection accuracy improves, but computational complexity increases
Solution Approach 1:
The patent applies preliminary action by performing SSS detection and threshold updates before PSS cancellation. By completing the SSS detection iterations and updating thresholds in advance, the system prepares the detection process to efficiently handle subsequent PSS cancellation without requiring repeated computational operations, thereby reducing overall complexity.
Solution Approach 2:
The patent segments the detection process into distinct phases: first performing SSS detection and threshold updates, then performing PSS cancellation. This segmentation allows each phase to be optimized independently, with SSS detection using updated thresholds and PSS cancellation using the cleaned signal, reducing the computational burden of performing all operations simultaneously.
3Measurement precision
If a low threshold is used for SSS detection, then miss detection rate decreases, but false alarm rate increases
Solution Approach 1:
The patent resolves this contradiction by making the threshold dynamic rather than static. The threshold starts at a level that prevents false alarms and automatically adjusts downward during iterations where weak SSS signals are detected, allowing the system to adaptively balance between preventing false alarms and avoiding miss detections based on the actual signal conditions encountered.
Data Source
AI summary
The present disclosure relates to methods, devices, and systems for cell identification. For example, the systems, devices, and methods described herein may be used to detecting a secondary synchronization signal (SSS) index. In an aspect of the present disclosure, a method includes detecting, at an electronic device, a first SSS index based on a comparison between a first power value and a first threshold. The first power value is associated with a correlation power result between a received signal from a base station and a local SSS. The method also include determining, at the electronic device, a second threshold based on the first power value, and performing a comparison between a second power value and the second threshold. The second power value is determined based on the received signal.