Wireless Receiver Waveform Analysis for Faulted 5G/6G Messages
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Solution Overview
Problem
Existing wireless communication systems struggle to efficiently localize and correct message faults without resorting to retransmissions or bulky error-correction codes, especially in high-density urban and industrial settings, leading to inefficiencies in time, power, and resource usage.
Innovation Solution
A method for a wireless receiver to analyze waveform parameters, including amplitude and phase fluctuations, modulation deviations, and polarization irregularities, to identify and correct faulted message elements using artificial intelligence models, enabling real-time fault localization and correction without retransmissions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If error-correction codes are embedded in the message, then message reliability is improved, but the resource area required increases significantly
Solution Approach 1:
The patent extracts the fault localization function from traditional error-correction codes, which occupy large resource areas. Instead of using bulky FEC codes, the system analyzes waveform parameters (amplitude, phase, frequency) to identify and locate faults in individual message elements, eliminating the need for extensive error-correction overhead while maintaining reliability.
Solution Approach 2:
The patent replaces the mechanical approach of embedding redundant error-correction codes with a signal-processing approach using waveform analysis. By examining the physical characteristics of the waveform (amplitude fluctuations, phase deviations, frequency shifts), the system achieves fault detection and localization without requiring the resource-intensive error-correction code structure.
2Reliability
If retransmission is used to correct faults, then message reliability is improved, but time consumption and resource usage increase
Solution Approach 1:
The patent performs preliminary fault localization by analyzing waveform parameters in real-time as the message is received. Instead of waiting for retransmission, the system identifies which specific message elements are faulty based on waveform characteristics, enabling immediate correction without time-consuming retransmission cycles.
Solution Approach 2:
The receiving entity performs self-diagnosis and self-correction by analyzing the waveform parameters of received message elements. The system automatically identifies faults and determines which message elements need correction, eliminating the need for external retransmission assistance and reducing overall time loss.
3Difficulty of detecting and measuring
If traditional fault detection methods are used, then fault detection capability is provided, but fault localization is not achieved
Solution Approach 1:
The patent segments the fault detection process into two distinct stages: first detecting that a fault exists using waveform parameter analysis, then localizing the specific message element responsible. By examining which particular message element has abnormal waveform characteristics, the system achieves both detection and localization without excessive complexity.
Solution Approach 2:
The patent uses waveform parameter analysis as an indicator to identify faulted message elements. By measuring changes in amplitude, phase, and frequency parameters, the system creates a detectable signature that indicates both the presence of a fault and its location, making fault localization as straightforward as detecting a change in waveform characteristics.
Data Source
AI summary
Corrupted messages in 5G and 6G are usually discarded, leading to a retransmission with its added costs, delays, and background generation. Therefore, disclosed herein are methods for a wireless receiver to determine which message elements are faulted, and in many cases to correct them, based on parameters of the waveform signal in each message element. Multiple parameters may be combined for better sensitivity to the fault condition. For example, the indicator parameters may be the modulation deviation of each message element, its amplitude or phase noise level, characteristic interference patterns between symbol-times, a polarization anomaly, a frequency offset, or combinations of these. After localizing the likely faulted message elements, the receiver may be able to recover the message by correcting the waveform signal or the demodulation value, thereby saving time and energy at near zero cost.