Interference Estimation via Configuration Segmentation
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Solution Overview
Problem
Current systems face challenges in accurately determining the statistical occupation rate of interferers in unknown transmission bands, particularly in distinguishing active interferers within a given time window, due to the complexity of signal analysis and the overlapping nature of interferers across multiple channels.
Innovation Solution
A method using computer means to estimate interference by determining all possible configurations of transmission band occupation, obtaining measurements within a given observation time window, and performing probability calculations to determine the estimated activation rate of each transmission band, employing an expectation-maximum approach to iteratively approximate the maximum likelihood solution.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If signal analysis and recognition methods are used to identify interferers, then detection performance is improved, but the number of measurements needed increases significantly
Solution Approach 1:
The method segments the interference analysis by considering all possible configurations of transmission band occupation separately. Instead of analyzing the complex overlapping signals directly, it divides the problem into discrete configuration possibilities (each representing a unique pattern of which interferers are active on which transmission bands), making the analysis tractable with fewer measurements
Solution Approach 2:
The method performs probability calculations for each possible configuration and selects the most likely one, rather than attempting to directly measure and identify all interferers simultaneously. This partial action approach (focusing on determining the most probable configuration rather than characterizing all signals fully) reduces the measurement burden while maintaining detection performance
2Measurement precision
If measurements are taken on frequency bands smaller than WiFi transmission bands, then channel-level resolution is improved, but the ability to determine statistical occupation rate by interferers deteriorates
Solution Approach 1:
The method transitions from analyzing interference in the frequency domain alone to incorporating the configuration space dimension. By enumerating all possible configurations of interferer activation patterns across transmission bands, it recovers the statistical occupation rate information that would be lost in fine-grained channel measurements, effectively adding a combinatorial dimension to the analysis
3Measurement precision
If interferers are discriminated by analyzing their transmission bands, then interferer identification is improved, but the complexity of determining activation rates in overlapping bands increases
Solution Approach 1:
The method segments the complex overlapping interference problem into discrete configuration possibilities. Each configuration represents a unique pattern of which interferers are active on which transmission bands, allowing systematic analysis without requiring complex signal processing to separate overlapping signals in the frequency domain
Solution Approach 2:
The method uses probability calculations that inherently provide feedback on the likelihood of each configuration given the measurements. This feedback mechanism guides the selection of the most probable interferer activation pattern, simplifying the discrimination process compared to direct signal separation methods
Data Source
AI summary
A method comprises:Determining a set of all possible configurations of occupation or non-occupation of set of transmission bands, defined as a set of possible vectors satisfying at a time instant a non-overlapping condition of said radiofrequency system, said non-overlapping condition corresponding to the fact that only one interferer, among a set of possible interferers, can be active at a same time on each channel of said set of channels and forming, with contiguous channels, a transmission band,Obtaining measurements of occupation of at least a part of said set of channels, at respective tune instants,Performing probabilities calculations so as to determine, for each transmission band, an estimated activation rate, on the basis of said measurements, said estimated activation rate corresponding to an occupation rate of a transmission band by an interferer within said given observation time window.