Decentralized Link Performance Optimization via SNR Prediction
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Solution Overview
Problem
Mesh networks experience performance degradation due to interference from other communication signals, which existing technologies struggle to effectively mitigate and optimize for Signal to Noise Ratio (SNR).
Innovation Solution
The method involves communicating a signal over a given channel, receiving a Signal-to-Total Power Ratio (STPR) estimate and spectral measurements, and determining a predicted SNR condition for multiple frequencies. This allows for channel selection based on optimized SNR conditions and interference mitigation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If mesh networks operate in shared frequency bands, then network coverage and connectivity are improved, but interference from other communication signals degrades performance
Solution Approach 1:
The system performs preliminary spectral measurements and STPR estimates before communication to identify and avoid interfered frequency bins. By proactively detecting interference conditions and selecting clean frequency resources in advance, the network prevents performance degradation rather than reacting to it after occurrence.
Solution Approach 2:
The patent applies frequency-selective transmission by dividing the frequency band into individual bins and transmitting only on those bins that are determined to be free from interference. This local quality approach optimizes each frequency bin independently, allowing the system to maintain high data rates on clean frequencies while avoiding interfered frequencies, rather than treating the entire band uniformly.
2Reliability
If channel selection is performed to avoid interference, then link performance is improved, but system complexity increases due to spectral measurements and SNR prediction
Solution Approach 1:
Each network node autonomously performs spectral measurements, calculates STPR estimates, predicts SNR conditions, and selects its own transmission channels without requiring complex centralized coordination. This self-service capability distributes the computational burden across nodes, reducing overall system complexity while maintaining reliable link performance through decentralized intelligence.
Solution Approach 2:
The system uses measured spectral data and STPR estimates as feedback to dynamically adjust channel selection and transmission parameters. By continuously monitoring the radio environment and using this feedback to adapt frequency bin selection, the system optimizes link performance in real-time while keeping the complexity manageable through iterative refinement rather than exhaustive search.
3Measurement precision
If spectral measurements are performed across multiple frequencies, then interference detection accuracy is improved, but measurement time and processing overhead increase
Solution Approach 1:
The frequency band is segmented into discrete frequency bins that can be measured and evaluated independently. This segmentation allows the system to perform measurements on individual bins or groups of bins rather than treating the entire spectrum as a single unit, enabling selective measurement of only those bins that are likely to contain interference based on preliminary scans or historical data.
Solution Approach 2:
The system performs spectral measurements on a selective basis, focusing computational resources on frequency bins that show signs of interference or are critical for current communication needs. Rather than exhaustively measuring every possible frequency bin at all times, the system applies partial measurement action concentrated on the most relevant frequency regions, achieving sufficient detection accuracy with reduced measurement time and processing overhead.
Data Source
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AI summary
Systems and methods for evaluating link performance over a multitude of frequencies for Signal-to-Noise Ratio (SNR) optimization and mitigating interference. The methods comprise: communicating, from a first communication device, a first signal over a given channel in a given frequency band; receiving, by the first communication device, spectral power measurements and a Signal-to-Total Power Ratio (STPR) estimate determined based on a second signal including the first signal combined with at least one of noise and one or more interference signals (the STPR estimate accounts for the receiver performance including chip rate processing gain and/or the performance of an interference cancellation circuit used to remove the interference signals from the second signal); and determining, by the first communication device, a predicted Signal-to-Noise Ratio (SNR) condition for a plurality of frequencies within the given frequency band using the STPR estimate and the spectral power measurements.