Radio Channel Quality Indicator Using Pseudo-Syndrome Values
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Solution Overview
Problem
Existing methods for measuring radio channel quality in communication systems, such as DVB, are not reliable in multi-path or fading channel environments, leading to unreliable handover decisions, especially for large band signals, as they rely on absolute or relative signal strength indicators that are affected by frequency selective and time-varying fading.
Innovation Solution
A method that involves receiving a modulated signal, decoding it to form a decoder performance indicator based on pseudo-syndrome values associated with error-corrected codes, selecting a transfer function to linearize this indicator, and creating a radio channel quality indicator (RCQI) that is independent of modulation parameters, allowing for fast and reliable estimation of signal quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional signal strength indicators (absolute power, relative power, SNR) are used to measure radio channel quality, then the measurement process is simple and fast, but the reliability of handover decisions deteriorates in multi-path or fading channel environments
Solution Approach 1:
The patent introduces an intermediary measurement approach by using decoded data and pseudo-syndrome values as intermediate indicators. Instead of directly measuring signal strength, the system decodes the signal first, then uses the decoded data to compute pseudo-syndrome values, which serve as a reliable intermediary metric that reflects actual channel quality without being affected by fading illusions.
Solution Approach 2:
The patent replaces the traditional mechanical/electrical measurement system (signal strength detectors) with an information-processing system. Instead of measuring physical signal properties directly, the system uses decoding operations and computational metrics (pseudo-syndrome values, transfer functions) to assess channel quality, substituting physical measurement with information-theoretic evaluation.
2Measurement precision
If the receiver evaluates reception quality indicators quickly to enable fast handover decisions, then power consumption is reduced, but measurement precision deteriorates when using simple signal strength metrics
Solution Approach 1:
The patent applies preliminary action by performing decoding operations on pilot signals or data signals before making handover decisions. The system pre-computes pseudo-syndrome values and establishes transfer functions in advance, so that when a handover decision is needed, the quality assessment can be performed quickly using pre-prepared measurement metrics rather than computing everything from scratch.
Solution Approach 2:
The patent uses partial action by measuring channel quality on pilot signals or selected data signals rather than continuously analyzing all transmitted data. The system computes pseudo-syndrome values based on partial decoded data, which provides sufficient precision for handover decisions without requiring complete processing of all signal data, thus reducing measurement time.
3Reliability
If the receiver continuously monitors multiple channels for handover opportunities, then channel quality assessment becomes more thorough, but power consumption increases
Solution Approach 1:
The patent applies self-service by using the decoded data itself to generate quality indicators. The system decodes the received signal and uses the decoded data to compute pseudo-syndrome values, which automatically serve as the quality metric. This self-referential approach eliminates the need for separate, power-intensive measurement circuits, as the decoding process itself generates the quality assessment information.
Solution Approach 2:
The patent makes the decoding system multi-functional by having it serve both as a signal decoder and as a channel quality measurer. The same decoding operations that are necessary for signal recovery are also used to generate pseudo-syndrome values for quality assessment, eliminating redundant functionality and reducing overall power consumption while maintaining reliable measurement.
Data Source
AI summary
The present invention relates to a method for measuring radio channel quality in a radio communication system. In the method a modulated signal is received over a communication channel. The modulated signal has been modulated by using modulation parameters. A decoder decodes (305) the modulated signal and forms decoded data. The decoder creates (306) a decoder performance indicator (PS) that depends on the decoded data. Then a radio channel quality indicator (RCQI) is created, the radio channel quality indicator being essentially independent of the modulation parameters.