Wireless Signal Ripple Pattern Detection for Blocking Prediction
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Solution Overview
Problem
Blocking objects in wireless communication networks cause rapid degradation of radio conditions, leading to increased path loss and packet delays, which are particularly problematic for mission-critical applications in 5G networks.
Innovation Solution
A receiving device measures signal strength or complex amplitude over time to identify a ripple pattern, matching it with a stored pattern to predict blocking objects using techniques like Fast Fourier Transform (FFT), enabling proactive initiation of signal processing such as link adaptation or beam allocation before path loss increases.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional reactive signal processing is used, then the system responds to blocking after it occurs, but packet delays increase and link performance degrades
Solution Approach 1:
The system performs preliminary detection of blocking objects by analyzing signal patterns (such as ripple patterns in signal strength) before the blocking completely degrades the link. This allows the system to take preventive actions like beam switching or link adaptation in advance, avoiding packet delays that would occur with reactive responses.
Solution Approach 2:
The system continuously monitors signal characteristics and provides feedback to detect changes indicating upcoming blocking events. By analyzing feedback from signal strength measurements and pattern recognition, the system can anticipate blocking and adjust transmission parameters proactively to maintain link performance without delays.
2Measurement precision
If signal processing is initiated after blocking occurs, then the response is reactive, but the path loss has already increased significantly
Solution Approach 1:
The system detects blocking objects preliminarily by identifying characteristic signal patterns (such as ripples in signal strength caused by diffraction) before the blocking fully establishes. This early detection allows for corrective actions to be taken before path loss increases significantly, preserving energy and maintaining signal quality.
3Speed
If the system waits for blocking to occur before responding, then the response time is delayed, but rapid frequency changes may cause false detections
Solution Approach 1:
The system performs preliminary detection of blocking objects by analyzing signal patterns before the blocking fully occurs. This allows for early warning and proactive response, achieving both fast response time and accurate detection by identifying characteristic patterns such as signal ripples that precede complete blocking.
Solution Approach 2:
The system uses continuous feedback from signal strength measurements and pattern recognition to distinguish between temporary signal variations and actual blocking events. By analyzing feedback over time and comparing against stored patterns, the system achieves rapid and accurate detection without false positives from frequency changes.
Data Source
AI summary
Embodiments herein relate to a method performed by a receiving device for handling signalling in a wireless communication network. The receiving device measures a strength, or a complex amplitude, of one or more signals over a signal path to a transmitting device, which measured strength or complex amplitude forms a signal pattern over a time. Furthermore, the receiving device matches the signal pattern with a stored signal pattern and, if the signal pattern matches the stored signal pattern, the receiving device determines whether an object will block the signal path between the receiving device and the transmitting device.