Link Rate Self-Adaption via SNR Recording Tables
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Solution Overview
Problem
Existing link self-adaption techniques in wireless communication systems rely solely on signal-to-noise ratio (SNR) or carrier-to-interference ratio (CIR), which are influenced by channel environment and thermal noise, leading to inaccurate reflection of channel quality, making them suboptimal for assessing channel conditions.
Innovation Solution
A method and system that utilize a directional wireless transmission system to create pairs of measured-value recording and sequence tables at nodes, where signal-to-noise ratios and measurement moments are recorded and used to dynamically adjust data frame transmission speed based on closed-loop and open-loop measurement values, employing a mixed measurement method to improve channel transmission modulation-encoding mode suitability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional link self-adaption techniques use signal-to-noise ratio (SNR) or carrier-to-interference ratio (CIR) to assess channel quality, then the assessment process is simple, but the accuracy of channel quality reflection is insufficient due to influence from channel environment and thermal noise
Solution Approach 1:
The patent segments the channel quality assessment into two independent parts: open-loop measurement (using local SNR measurements) and closed-loop measurement (using feedback from received data frames). Each part has its own measured-value recording table and assessment methodology. This segmentation allows the system to combine multiple measurement perspectives to improve accuracy while keeping each individual measurement process relatively simple.
Solution Approach 2:
The patent implements a closed-loop feedback mechanism where the receiving node measures the SNR of received data frames and feeds back these measurements to the sending node. This feedback loop enables the sending node to assess channel quality from the receiver's perspective, providing a more accurate and comprehensive view of the actual channel conditions compared to open-loop measurements alone.
2Adaptability or versatility
If link self-adaption adjusts modulation-encoding mode and code rate according to channel quality variation, then the adaptability to channel environment improves, but the complexity of real-time threshold presetting or estimation becomes very difficult
Solution Approach 1:
The patent makes the link self-adaption system dynamic by continuously updating measured-value recording tables at both sending and receiving nodes with fresh SNR measurements. The system dynamically adjusts modulation-encoding modes and code rates based on real-time channel conditions reflected in these tables, rather than relying on static pre-configured thresholds. This dynamic approach enables the system to adapt to varying channel environments without requiring difficult real-time threshold estimation.
Solution Approach 2:
The system performs self-service by automatically maintaining measured-value recording tables and using them for both open-loop and closed-loop assessments without external intervention. The nodes autonomously measure, record, compare, and adjust their transmission parameters based on the recorded values, eliminating the need for complex external threshold presetting or manual calibration.
3Measurement precision
If only CQI or CIR is used to reflect channel quality, then the assessment method is simple, but it cannot accurately reflect the actual situation of current channel quality
Solution Approach 1:
The patent merges open-loop measurement results (from local SNR measurements) and closed-loop measurement results (from feedback SNR measurements) into a unified channel quality assessment. Both measurement types contribute to the measured-value recording tables, which are then used together for modulation-encoding mode selection and code rate adjustment. This combination of multiple measurement approaches provides a more accurate and comprehensive reflection of actual channel quality compared to using CQI or CIR alone.
Data Source
AI summary
A link-speed self-adapting method includes: creating multiple pairs of a measured-value recording table and a measured-value sequence table at each of nodes; by using a sending node, receiving data frames sent by a receiving node through a reverse link, calculating signal-to-noise ratios of the received data frames, and recording the signal-to-noise ratios and measurement moments into the measured-value recording tables of the sending node; in response to data frames sent by a same sending node and received by the receiving node satisfying a predetermined condition, acquiring the signal-to-noise ratios and the measurement moments corresponding to the data frames that satisfy the predetermined condition, and sending to the sending node by using a message; recording the signal-to-noise ratios and the measurement moments carried in the message into the measured-value sequence table; and according to the measured-value sequence tables, adjusting a speed at which the sending node sends the data frames.