Wireless Control via SINR Estimation and MCS Adjustment
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Solution Overview
Problem
Conventional adaptive modulation coding (AMC) methods in wireless communication systems fail to quickly respond to burst interference in ISM unlicensed frequency bands, leading to decreased throughput and data errors due to inappropriate modulation coding scheme (MCS) selection, especially in scenarios with guaranteed ultra-low delay and restricted re-transmissions.
Innovation Solution
A wireless communication control method that estimates the signal-to-interference-plus-noise ratio (SINR) based on historical measurements and determines a wireless communication control scheme by combining channel frequency hopping and MCS grade switching, adjusting the MCS grade based on the transmission error rate and SINR, and selecting optimal channels to minimize interference.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If conventional AMC methods adjust MCS based only on delayed SINR information, then the system is simple to operate, but the response speed to burst interference is slow and throughput decreases
Solution Approach 1:
The system performs preliminary actions by estimating current SINR based on historical measurements before actual transmission occurs. This allows the system to proactively adjust MCS grades in response to predicted channel conditions rather than reacting to delayed feedback, thereby improving response speed to burst interference while maintaining manageable complexity through standardized estimation algorithms
Solution Approach 2:
The system implements feedback by continuously monitoring transmission error rates and using this information to adjust MCS grades dynamically. The error rate feedback loop enables the system to detect degradation in channel quality caused by burst interference and respond by lowering MCS grades, thus improving throughput and reliability without requiring complex real-time analysis
2Productivity
If high-order MCS is used to achieve high throughput, then data bandwidth increases, but the system becomes vulnerable to burst interference and demodulation errors
Solution Approach 1:
The system applies dynamics by making MCS grades adjustable and adaptive rather than fixed. The MCS grade changes dynamically based on real-time SINR estimation and transmission error rate feedback, allowing the system to optimize throughput under good channel conditions while maintaining reliability during burst interference through automatic grade reduction
Solution Approach 2:
The system changes parameters by adjusting the MCS grade according to channel conditions. When SINR estimation indicates good conditions, higher MCS grades are selected to maximize throughput; when error rates increase or SINR degrades due to burst interference, the MCS grade is reduced to maintain demodulation accuracy, thus balancing productivity and reliability
3Reliability
If MCS is degraded to avoid demodulation errors, then reliability improves, but throughput becomes extremely low
Solution Approach 1:
The system uses dynamic MCS adjustment to avoid the trade-off between reliability and throughput. Rather than permanently degrading MCS, the system temporarily reduces grades only when and where needed based on real-time error rate feedback and SINR estimation, allowing throughput to remain high during good conditions while maintaining reliability during interference events
Solution Approach 2:
The system employs feedback control by continuously monitoring transmission error rates and adjusting MCS grades accordingly. This closed-loop approach ensures that MCS degradation occurs only when necessary to maintain demodulation accuracy, preventing unnecessary throughput loss while guaranteeing reliability when burst interference is detected
Data Source
AI summary
A wireless communication control method includes estimating a signal-to-interference-plus-noise ratio (SINR) of a current channel based upon historical SINR measurements, obtaining a transmission error rate of a current traffic, and determining a wireless communication control scheme based upon the SINR of the current channel and the transmission error rate.