Cellular Jamming Detection via Reference Signal Correlation
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Solution Overview
Problem
Detecting signal jamming in cellular communication networks is challenging due to the lack of knowledge about jammer characteristics, and existing methods require auxiliary equipment like spectrum analyzers, which are not always effective in real scenarios.
Innovation Solution
A method that determines correlation between reference signals received at multiple antennas and checks consistency between traffic load and non-zero power signal strength to detect jamming, allowing for jamming detection without knowledge of jammer characteristics, using uplink or downlink reference signals like pilot symbols or zero-power data signals.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If auxiliary equipment like spectrum analyzers is used to detect jamming, then detection capability is improved, but device complexity and operational difficulty increase
Solution Approach 1:
The cellular communication system performs self-diagnosis by using its own reference signals to detect jamming conditions. The base station analyzes correlation between reference signals received at multiple antennas and determines jamming states without requiring external spectrum analyzers or auxiliary equipment.
Solution Approach 2:
Reference signals serve as intermediaries to detect jamming conditions. By analyzing the correlation properties of these known reference signals at multiple antennas, the system can identify jamming without directly measuring the jamming signal itself, thus avoiding the need for complex spectrum analysis equipment.
2Measurement precision
If knowledge on jammer characteristics is required for detection, then detection precision is improved, but adaptability decreases
Solution Approach 1:
The system changes the approach from analyzing jammer-specific parameters to analyzing the correlation properties of reference signals. By detecting deviations in correlation values from expected patterns, the system can identify jamming without needing to know or adapt to specific jammer characteristics, making it universally applicable.
Solution Approach 2:
Instead of trying to directly detect and characterize the jamming signal, the system inverts the approach by detecting the absence or corruption of known reference signals. By analyzing what should be present (reference signals with specific correlation properties) and comparing against actual measurements, the system identifies jamming without needing jammer knowledge.
3Measurement precision
If correlation analysis of reference signals is performed, then detection accuracy is improved, but computational complexity increases
Solution Approach 1:
The system extracts only the essential correlation information from reference signals at multiple antennas, rather than performing full spectrum analysis or comprehensive signal characterization. By focusing computation on correlation coefficients and comparing against predefined thresholds, the system achieves accurate detection with reduced computational burden.
4Reliability
If consistency check between traffic load and signal strength is added, then detection reliability is improved, but processing time increases
Solution Approach 1:
The system performs a partial consistency check by examining only key parameters (traffic load and signal strength correlation) rather than comprehensive system state analysis. This selective approach enhances detection reliability by validating results through an additional consistency dimension while minimizing the time penalty through focused measurement.
Data Source
AI summary
The present invention generally relates to wireless communication technology. More particularly, the present invention relates to a method for detecting signal jamming in a cellular communication network. The present invention also relates to apparatus and computer program product adapted for the same purpose. According to one embodiment of the present invention, a method for detecting signal jamming in a cellular communication network comprises the following steps: determining correlation between reference signals received at a plurality of antennas in a cell; and determining whether the cell is in a jamming-suspicious state on the basis of the correlation and consistency between a traffic load and non-zero power signal strength in the cell.